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Work From Home Embedded Firmware Engineer Jobs (NOW HIRING)

Firmware Engineer (Contract) This is a U.S.-based remote position ... Preferred candidates from PST zone. Candidates must reside and be authorized to work in the United ...

Sr. Director, Embedded Engineering

WA · Remote

$126K - $166K/yr

... the home - from security cameras and video doorbells to smart home hubs, network devices, and ... Reporting to the SVP of Engineering, this leader owns firmware, embedded Linux, OS and runtime ...

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

FPGA Engineer - Work From Home We are seeking a talented and self-motivated FPGA Engineer to join a growing hardware engineering team. Our culture emphasizes teamwork and focuses on continuous ...

... from cloud backend and IoT device communication to embedded firmware and customer-facing ... Fully remote - work from anywhere in the U.S. * The opportunity to build quality into a platform ...

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Work From Home Embedded Firmware Engineer information

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How much do work from home embedded firmware engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for work from home embedded firmware engineer in the United States is $122,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Work From Home Embedded Firmware Engineer position, and why are they important?

To thrive as a Work From Home Embedded Firmware Engineer, you need expertise in embedded systems programming (C/C++), microcontroller architectures, and debugging, typically supported by a relevant engineering degree. Familiarity with version control systems like Git, RTOS environments, JTAG debuggers, and industry certifications such as Certified Embedded Systems Engineer (CESE) can be advantageous. Strong problem-solving skills, self-motivation, and clear written communication are essential soft skills, especially when collaborating remotely with cross-functional teams. These qualifications ensure effective and reliable development of embedded solutions while maintaining productivity and teamwork in a remote work environment.

What is a Work From Home Embedded Firmware Engineer job?

A Work From Home Embedded Firmware Engineer designs, develops, and tests low-level software that operates hardware devices while working remotely. They primarily write firmware in languages like C or C++ for microcontrollers, embedded systems, and IoT devices. Their responsibilities include debugging, optimizing performance, and ensuring seamless hardware-software integration. Remote work requires strong communication skills, self-discipline, and familiarity with tools for collaboration, such as Git, Jira, and remote debugging setups.

What are some common challenges faced by Work From Home Embedded Firmware Engineers and how can they be overcome?

Work From Home Embedded Firmware Engineers often face challenges such as accessing specialized hardware for testing, ensuring effective communication with team members, and maintaining a structured workflow outside of a traditional office. Many companies address these issues by providing remote access to shared lab equipment, regular virtual meetings, and collaborative development tools. Proactively documenting work, staying organized, and establishing a dedicated workspace can help engineers remain productive and connected. Embracing these practices helps maintain high-quality code development, timely project delivery, and positive team dynamics, even in a remote setting.

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Infographic showing various Work From Home Embedded Firmware Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,008 per year, or $58.7 per hour.
Engineering Manager, CPU Bootloader Firmware - SBIOS

Engineering Manager, CPU Bootloader Firmware - SBIOS

NVIDIA

Remote

Full-time

Posted 17 days ago


Job description

Job Summary:
NVIDIA is the AI computing company, and they are seeking an Engineering Manager to lead the team that builds CPU bootloader firmware for their ARM-based data center CPUs. The role involves overseeing the delivery and quality of firmware, mentoring a distributed team, and collaborating with architecture teams to shape future silicon designs.
Responsibilities:
• Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms, from architecture through production release.
• Lead, mentor, and grow a distributed team of firmware engineers focused on ARM bootloader, secure boot, and early system bring-up.
• Partner closely with NVIDIA’s CPU architecture team, contributing firmware perspective on hardware design and helping shape the next generation of silicon.
• Lead high-stakes technical reviews and drive rapid issue resolution across the hardware-software boundary, partnering with key stakeholders to accelerate time-to-market and ensure the delivery of production-ready solutions.
• Foster modern engineering practices: thoughtful code review, CI/CD pipelines, automated testing on emulation and silicon, and shared root-cause analysis.
• Build an AI-forward engineering culture by adopting AI coding assistants and LLM-based tools to improve team velocity and code quality.
• Support an async-first way of working that helps a geographically distributed team collaborate clearly across time zones.
• Plan and complete silicon tape-out and product launch milestones, sharing risks and status with senior leadership.
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 10+ overall years of relevant firmware or systems software experience, including bootloader, BIOS/UEFI, or embedded systems work.
• 3+ years of engineering management experience, with a track record of growing strong, supportive teams.
• Experience supporting distributed teams across multiple time zones, with a clear philosophy for helping autonomous contributors thrive.
• Solid foundation in C/C++ and the ability to engage in deep technical discussions about CPU bring-up, memory initialization, and hardware-software interfaces.
• Working knowledge of ARMv8/v9 architecture, exception levels, and bootloader concepts including reset flow, PSCI, and OS hand-off.
• Demonstrated AI-forward mindset; you use AI coding assistants in your own workflow and help your team adopt them.
• Excellent written and verbal communication skills, with a preference for written documentation that builds shared understanding for a remote team.
Preferred:
• Hands-on experience with ARM Trusted Firmware (TF-A), EL3 firmware, and chain-of-trust on ARM server platforms.
• Familiarity with UEFI/EDK II, device tree, ACPI, and modern server boot flows.
• Experience with pre-silicon firmware bring-up on emulation, FPGA, or simulation platforms, and the transition to first silicon.
• Track record of partnering with silicon design teams, contributing firmware-side input to RTL and microarchitectural decisions.
• Familiarity with NVIDIA Data Center platforms (DGX, HGX, MGX) or equivalent hyperscale infrastructure.
• Experience integrating AI tooling into engineering workflows: code generation, retrieval-augmented development, or LLM-assisted CI.
• Proven success building team culture across remote, asynchronous settings — including hiring, onboarding, and career development.
• Working knowledge of server management protocols (IPMI, MCTP, PLDM) or virtualization platforms (KVM, QEMU).
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993