Hire a remote Firmware Engineer

Looking to hire a Firmware Engineer? Our Firmware Engineers bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

net-developers-iowa certificate
angular-developers-oklahoma-city certificate
app-development-kansas certificate
ai-company-kansas certificate
ai-company-south-dakota certificate
computer-vision-denver certificate
drupal-developers-wyoming certificate
flutter-developers-maryland certificate
generative-ai-boston certificate
generative-ai-seattle certificate
java-developers-alabama certificate
java-developers-idaho certificate
laravel-developers-denver certificate
machine-learning-kansas-city certificate
nextjs-developer-portland certificate
nodejs-developers-albuquerque certificate
php-developers-little-rock certificate
python-django-developers-denver certificate
react-native-developer-indiana certificate
react-native-developer-nashville certificate
software-developers-albuquerque certificate
software-developers-west-virginia certificate
swift-company-alabama certificate
web-developers-little-rock certificate

Hire remote Firmware Engineer

Discover developers that match your project requirements.

No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Andrea M.
Available Now
Verified in SoftDoesAndrea M.
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrew V.
Available Now
Verified in SoftDoesAndrew V.
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrew V.
Available Now
Andrew V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrew V.
Available Now
Andrew V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Boris S.
Available Now
Verified in SoftDoesBoris S.
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Eugene M.
Available Now
Verified in SoftDoesEugene M.
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Hripsime S.
Available Now
Verified in SoftDoesHripsime S.
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Mario J.
Available Now
Verified in SoftDoesMario J.
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Raphael O.
Available Now
Verified in SoftDoesRaphael O.
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Santiago G.
Available Now
Verified in SoftDoesSantiago G.
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Thierry M.
Available Now
Verified in SoftDoesThierry M.
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thomas S.
Available Now
Verified in SoftDoesThomas S.
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Tzechung K.
Available Now
Verified in SoftDoesTzechung K.
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Discover More Firmware Engineers in the SoftDoes NetworkRegister to view more

What our Firmware Engineers can build

Not sure which engagement model fits?

SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.

Explore Services

FIND THE
RIGHT expert, FASTER

Choose a role. Filter by technology.
Discover developers that match your project requirements.

How to hire a Firmware Engineer

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire a Firmware Engineer through SoftDoes?

SoftDoes typically matches clients with a vetted firmware engineer in under 24 hours. From initial discovery call through profile review and engineer kickoff, most engagements are live within one to two weeks. For comparison, a self run hiring process for senior embedded firmware talent often stretches to 8 to 12 weeks once you factor in sourcing, multiple interview rounds, practical assessments, and offer negotiations. In niche domains like automotive or medical devices, that timeline can extend further due to the scarcity of engineers with both the technical skills and the regulatory knowledge required.

What does it cost to hire a Firmware Engineer?

Costs depend on seniority, domain, and engagement model. In the US market, median firmware engineer compensation sits around $147,000 to $167,000 per year for full time roles, with senior and staff level engineers in automotive or medical often exceeding $200,000. Freelance firmware developers charge between $60 and $120 per hour. Beyond salary or hourly rate, factor in hardware lab costs, prototyping boards, testing infrastructure, licensing for safety certification tools, and potential travel for hardware bring up. Working with a delivery partner like SoftDoes bundles talent sourcing, vetting, and management overhead into a predictable engagement cost, which simplifies budgeting compared to running a full hiring pipeline internally.

What engagement models are available (dedicated hire, pod, contract)?

SoftDoes offers three primary models. A single specialist is suited for targeted embedded projects or consulting on specific firmware challenges. A development pod bundles firmware engineers with embedded systems architects and project leadership for full stack embedded development, from hardware integration to cloud connectivity. An extended team integration model embeds SoftDoes engineers into your existing organization under your workflows and tools. Each model supports flexible scaling, so you can expand or contract capacity as the project moves through prototyping, development, production, and maintenance phases.

How do you ensure time zone alignment with a Firmware Engineer?

SoftDoes operates with a North America focus, which means engineers are available during US and Canadian business hours. For firmware work specifically, synchronous overlap matters more than in typical software development because debugging sessions, design reviews, and hardware bring up often require real time collaboration with hardware engineers on site. SoftDoes targets a minimum of 3 to 5 hours of daily overlap with your core team, and for engagements involving active hardware integration, engineers can align schedules to cover your full working day.

How does SoftDoes technically vet a Firmware Engineer?

Every engineer in the SoftDoes network goes through a multi stage vetting process designed for embedded systems, not generic software roles. First, a technical screening evaluates core C/C++ programming skills, memory management, concurrency, and familiarity with communication protocols like SPI, I2C, and UART. Second, candidates complete a practical task that reflects embedded realities: implementing a driver, debugging a simulated hardware fault, or reviewing a boot sequence for correctness and safety. Third, an analytical interview tests their reasoning on trade offs (latency vs. power vs. memory), failure mode analysis, and field debugging strategy. Firmware engineers should be fluent with protocols, comfortable with lab tools like oscilloscopes and logic analyzers, and able to communicate technical constraints to non firmware stakeholders. For safety critical products, knowledge of coding standards like MISRA C and verification processes is validated as part of the screen.

What happens if the Firmware Engineer isn't the right fit, or I need to scale up or down?

SoftDoes includes a replacement guarantee in its engagements. If a firmware engineer does not meet performance expectations or the project scope changes, SoftDoes provides a replacement without restarting the hiring process from scratch. Scaling works the same way: if you need additional embedded firmware developers for a product launch or want to reduce the team after production stabilizes, SoftDoes adjusts capacity to match. This flexibility removes the risk that typically comes with full time hires or long term contracts, where adjusting headcount involves months of recruiting or costly terminations.

How to Hire a Firmware Engineer

Most companies looking to hire firmware developers lose weeks filtering through candidates who can write application code but freeze when asked to debug a timing issue on an oscilloscope or explain how a watchdog timer recovers a locked peripheral. This guide walks you through what a firmware engineer actually does, how to define your requirements, where to source and vet candidates, and how to onboard them so they ship reliable embedded products on schedule.

What a Firmware Engineer Does and Why the Role Matters

What an Embedded Firmware Engineer Actually Does Day to Day

Firmware bridges the physical and digital worlds. An embedded firmware developer writes the low level code that makes hardware behave: bootloaders, device drivers, interrupt handlers, power management routines, and secure update agents. This is not generic software development. Firmware runs on constrained processors where a missed deadline can crash a motor controller or corrupt sensor data.

Here is what the daily work looks like in practice:

  • Writing embedded C or C++ for microcontrollers and processors. This includes drivers for peripherals like ADC, GPIO, timers, and sensors, plus communication protocols such as SPI, I2C, UART, CAN, and BLE. Embedded firmware development involves programming in C, C++, or Assembly, and proficiency in these languages is non negotiable.
  • Working with real time operating systems or bare metal scheduling. Firmware engineers manage interrupts, concurrency, and deterministic timing. A sensor polling loop that drifts by a few microseconds can invalidate an entire data pipeline.
  • Hardware bring up and integration. Reading schematics, probing power rails with oscilloscopes, tracing bus traffic on logic analyzers, and stepping through code via JTAG or SWD. Ability to read schematics and component datasheets is necessary for any firmware developer working on new hardware.
  • Optimizing for resource constraints. Memory footprint, CPU cycles, flash wear, and power consumption all compete. Firmware engineers must understand low power design techniques for battery operated devices where every microamp counts.
  • Implementing security and safety mechanisms. Secure boot, encrypted OTA updates, fault handling, and compliance with standards like ISO 26262 (automotive) or IEC 62304 (medical). Knowledge of firmware update mechanisms is crucial to prevent bricked devices in the field.
  • Testing and debugging. Unit tests for embedded code, hardware in the loop validation, regression suites, and reproducing intermittent field failures. Engineering habits such as code reviews and unit testing are core to reliable firmware development.

The combination of electrical engineering fundamentals and software engineering discipline makes this role distinct. Hiring firmware engineers requires balancing traditional software principles with hardware constraints, and that balance is what separates a productive hire from a costly one.

Why Hiring the Right Firmware Engineer Is a Business Decision, Not Just a Technical One

A single firmware defect can delay a product launch by months or trigger a field recall. Here are four concrete outcomes that hinge on getting the right embedded systems engineer:

  • Faster time to market. Hardware bring up stalls are the most common source of schedule slip in embedded projects. A skilled firmware engineer reduces integration cycles because they can diagnose whether a bug lives in silicon, on the PCB, or in the code.
  • Lower total cost of ownership. Companies hiring firmware engineers ensure stable device performance, which directly reduces warranty claims, field support tickets, and the cost of emergency firmware patches. Outsourcing firmware development reduces operational risk and costs when paired with vetted talent.
  • System reliability and safety. Proper interrupt handling, fail safe states, and power management prevent data corruption, device lockups, and safety incidents. Firmware development services support IoT devices and industrial automation where uptime is measured in years, not sprints.
  • Regulatory compliance and security posture. Medical, automotive, and industrial products require traceability, coding standards (MISRA C), and verification processes. A firmware engineer unfamiliar with these requirements creates compliance risk that can block market entry entirely.

How to Prepare Before Opening the Role

Defining Your Technical Needs and Team Structure

Before writing a job description or engaging candidates, get alignment on three internal dimensions. Defining clear technical requirements helps differentiate roles in firmware engineering and prevents you from screening for the wrong profile.

Project Scope and Requirements

Start by listing what the firmware must do. Is this a driver development task? A full device bring up on a new SoC? A secure boot and OTA system for an existing product line? Define core hardware and software stack early when hiring firmware engineers: which microcontrollers, which operating system or RTOS, which communication protocols, and which debugging tools. Separate role requirements into must have and nice to have categories. Familiarity with specific chips is important, but a strong background in the same microcontroller family often transfers well.

Team Structure and Engagement Model

A firmware engineer sits at the intersection of hardware, software, cloud, and QA. Decide how the role interacts with each group. Will this person own firmware end to end or work under an architect? Is there a dedicated hardware team they can pair with during bring up? Communication with hardware and software team members is an important hire evaluation factor, so the team shape affects who you should be looking for.

In House vs. Dedicated Remote Talent

In house engineers get direct access to hardware labs and oscilloscopes. Remote firmware talent expands your pool and can reduce cost, but requires shipping prototypes, maintaining clear documentation, and solving lab access logistics. For organizations that rely heavily on hardware software integration during development, a hybrid model often works: remote for code and architecture, on site for bring up sprints. Companies outsourcing firmware development gain predictable throughput when the engagement model is well defined.

Writing a Job Description That Attracts Senior Firmware Talent

A weak job description attracts weak candidates. Four elements distinguish a posting that pulls in experienced embedded systems developers:

  • Mission. State what the firmware engineer will achieve, not just what they will do. "Own the bootloader and secure update pipeline for our next generation IoT devices" is specific. "Write firmware" is not.
  • Stack and context. List microcontrollers, RTOSes (FreeRTOS, Zephyr, bare metal), protocols (SPI, I2C, CAN, BLE), tools (JTAG, oscilloscopes, Git), and any safety or regulatory environment. Candidates with hands on experience working in your stack self select in; those without self select out.
  • Team structure. Describe who the engineer collaborates with and reports to. Senior embedded firmware engineers want to know whether they will shape architecture or execute tickets.
  • Growth and impact. Mention opportunities to lead firmware architecture, drive performance optimization, adopt embedded Linux, or expand into edge computing and machine learning workloads. A strong interest in career growth is what keeps senior people engaged beyond the first year.
To Contact Page

Let’s Turn Your Idea into Scalable Software

Book a call with the representative to get answers to all the questions you may have.

Contact us

How to Source, Vet, and Onboard Firmware Talent

Building a Hiring and Vetting Process That Works

The hiring process for firmware engineers should combine technical and practical evaluations. Standard coding interviews designed for web developers miss the mark entirely for embedded firmware development.

Where to Source Embedded Firmware Engineers

Qualified firmware developers cluster in specific places. Look in embedded systems forums (EEVBlog, embedded subreddits), alumni networks from universities strong in electrical engineering or computer engineering, and hardware startup ecosystems. Target graduates with degrees in Electrical Engineering or Computer Science for firmware roles, but weight hands on experience over credentials. Most engineering managers recommend reviewing hands on projects over formal credentials. Open source firmware contributions, hobby builds on STM32 or ESP32 platforms, and U Boot patches all signal practical skill.

Talent networks that specialize in embedded and firmware talent compress sourcing timelines. Toptal matches clients with firmware engineers in under 24 hours. Upstaff connects clients with embedded firmware developers in 1 to 3 days. SoftDoes provides access to pre vetted senior embedded firmware engineers through its talent network with an average time to match under 24 hours. Freelance firmware developers charge between $60 and $120 per hour, but isolated contractors lack the continuity and knowledge transfer a team delivery model provides.

Vetting Beyond the Resume

Resumes confirm employment history. They do not confirm whether someone can debug a race condition on a CAN bus at 3 AM. Use a multi step process:

  • Technical screening. Evaluating core programming skills in C and C++ is crucial during technical screenings. Test pointer arithmetic, memory management, volatile keyword usage, and concurrency primitives. Strong memory management and understanding of MISRA C guidelines are important in firmware engineering. Using practical technical screening tests evaluates firmware candidates better than algorithm puzzles.
  • Practical real world task. Providing small firmware projects is an effective technique for candidate evaluation. Ask the candidate to implement a peripheral driver, write a boot sequence stub, or debug a simulated timing fault. Practical assessments should reflect embedded realities rather than generic algorithm tests. Evidence of ability to deliver production firmware is more valuable than years of experience listed on a resume.
  • Analytical interview. Pose trade off questions: latency vs. power vs. memory. Ask how they would handle a field failure in a device with no serial console. Troubleshooting skills in hardware software interactions are crucial in firmware engineering.
  • Culture and collaboration fit. Can they explain a hardware constraint to a product manager? Will they document architectural decisions? Do they collaborate seamlessly with cross functional teams? This matters as much as technical skills for long term retention.

Familiarity with version control tools like Git is important for developers working in any team environment, but do not treat it as a differentiator. Every professional firmware developer uses version control.

Structured Onboarding: The 30/60/90 Day Plan

Trial periods help confirm the right fit for new hires. Structure the first 90 days to accelerate ramp up and surface mismatches early.

First 30 days. Assign simple bug fixes or peripheral integrations. Provide codebase walkthroughs, access to hardware labs, and pairing sessions with senior embedded software engineers. The goal is orientation: understanding the product, the toolchain, and the team's coding standards.

First 60 days. The engineer owns a feature end to end: driver implementation, RTOS integration, testing, and hardware bring up. They begin participating in design reviews and contributing to documentation. By day 60 you should see whether their debugging and optimization skills match expectations.

First 90 days. The engineer takes responsibility for measurable outcomes: boot time, power consumption, memory usage, verification coverage. Senior hires begin mentoring junior team members and setting code review standards. Retention beyond this point hinges on providing challenging embedded projects, clear career paths, and visibility into how their firmware performs in deployed devices.

Evaluating Candidates and Choosing the Right Partner

Warning Signs and Positive Indicators During Firmware Interviews

Red Flags

  • Cannot explain basic low level concepts: interrupts, memory layout, the volatile keyword, atomicity. These are fundamentals for any embedded software engineer.
  • No hands on experience with lab equipment. Skills in using lab equipment like oscilloscopes and multimeters are essential for firmware debugging. If a candidate has never probed a signal, they will struggle during hardware integration.
  • Picks one optimization axis (speed, for example) without considering power, cost, or memory. Embedded devices operate under multiple constraints simultaneously.
  • No testing discipline. Unfamiliar with unit testing for embedded code, hardware in the loop setups, or field failure analysis. Debugging and optimization skills are necessary for firmware reliability.

Green Flags

  • Concrete examples of shipped devices, with specifics on what they built, what failed, and how they fixed it. Experience with embedded systems and microcontroller architecture is crucial.
  • Demonstrated expertise in secure firmware: OTA update pipelines, secure boot chains, fault recovery. Awareness of industry specific safety standards is a strong signal for regulated domains.
  • Reads and contributes architecture documentation. Hands on competence with oscilloscopes and logic analyzers, combined with clear written communication, indicates a senior level embedded firmware engineer.
  • Domain experience matching your industry. Automotive, medical, and industrial automation each carry specific compliance requirements, and familiarity with microcontroller architecture includes knowledge of core registers and memory maps relevant to those sectors.

Why SoftDoes Is the Right Firmware Hiring Partner

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Unlike freelance platforms where you inherit all the screening, onboarding, and retention risk yourself, SoftDoes delivers vetted senior firmware engineers through a team model that ensures knowledge transfer and project continuity.

  • Pre vetted embedded talent. Every firmware developer in the SoftDoes network has demonstrated production level capability in custom software development for embedded systems, including regulated industries.
  • Team delivery, not isolated contractors. Engineers integrate into your team and collaborate seamlessly with your hardware, cloud, and QA groups. This model preserves institutional knowledge across the project lifecycle.
  • Replacement and scaling guarantees. If an engineer is not the right fit, SoftDoes provides a replacement. Need to scale up for a hardware launch or scale down after production stabilizes? The engagement flexes with your technical needs.
  • Flexible engagement models. Single specialist for a targeted firmware challenge, a dedicated remote embedded firmware developer for ongoing development, or a full team pod with firmware engineers, architects, and project leadership.

If you are evaluating options beyond individual hires, SoftDoes also supports adjacent specialties. Teams building power constrained embedded products may benefit from GPU power management software developers for compute intensive edge workloads.

Ready to Hire a Firmware Engineer?

Stop filtering through unvetted resumes and generic coding test results. Schedule a discovery call with SoftDoes to define your project scope, review matched firmware engineer profiles, and start building with confidence. The typical time from first conversation to engineer kickoff is measured in days, not months.

Flag icon

U.S.-Based

Discuss Your Project

This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

Certificates

Let's build together.

Talk with a senior engineer about your product idea, architecture, and what it would take to build it.

Upload File