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Remote Embedded Software Jobs in Milpitas, CA (NOW HIRING)

Andriod Developer

Sunnyvale, CA · Remote

$57 - $75/hr

Sunnyvale, CA (Remote) - Look for nearby location candidates those candidates will be given first ... Experience with mobile software development using Java & Kotlin * Strong experience in Algorithm ...

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key Responsibilities: Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ...

Software Engineer

Mountain View, CA · Remote

$280K - $320K/yr

... remote work options If you are a talented and passionate Senior Software Engineer looking to make an impact in the technology industry, we want to hear from you! Apply now to join our team in ...

Our team plays a key role in hardware-software co-design, enabling early development of the full ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

Experience optimizing software for specialized hardware, employing techniques such as parallelism ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

We're looking for a product-focused software leader to be a foundational contributor on our core ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

Showing results 41-60

Remote Embedded Software information

See Milpitas, CA salary details

$81.6K

$178.7K

$202.8K

How much do remote embedded software jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote embedded software in Milpitas, CA is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $153,200.00 and $201,600.00 per year, depending on experience, location, and employer.

What is a remote embedded software engineer?

A remote embedded software engineer is a professional who designs, develops, tests, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. These engineers typically collaborate with hardware teams, write code for real-time or resource-constrained systems, and use remote tools to debug and deploy software. They may work in industries like automotive, medical devices, consumer electronics, or industrial automation. Remote embedded software engineers rely on communication and project management tools to coordinate with their teams and ensure product quality.

What are remote embedded software jobs?

Remote embedded software jobs include embedded software engineer positions. As a work from home embedded software engineer, you develop embedded software systems for a variety of computerized devices. Your responsibilities start with assessing your client’s needs. You then design and code the embedded software, troubleshoot your software systems, perform research and test actions on the software, and implement software updates whenever necessary. Other duties include maintaining the software programs, documenting solutions to issues, providing the necessary post-production support, and reviewing the implemented system to debug the embedded environment and interpret error reports.

What are the key skills and qualifications needed to thrive as a remote embedded software engineer, and why are they important?

To thrive as a Remote Embedded Software Engineer, you need expertise in embedded systems programming (typically in C/C++), hardware interfacing, and a relevant degree in computer engineering or electrical engineering. Familiarity with development tools such as debuggers, version control systems (e.g., Git), and real-time operating systems (RTOS) is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed team environment. These skills ensure reliable software integration with hardware, efficient collaboration, and successful delivery of complex embedded solutions.

What are some common challenges faced by remote embedded software engineers, and how can they be addressed?

Remote embedded software engineers often face challenges such as limited access to physical hardware for testing, coordinating with hardware teams across locations, and ensuring clear communication about design specifications. To overcome these, teams typically use simulation tools, remote access labs, and detailed documentation. Regular virtual meetings and collaborative platforms also help maintain alignment and facilitate troubleshooting in distributed environments.

What is the difference between Remote Embedded Software vs Remote Firmware Engineer?

AspectRemote Embedded SoftwareRemote Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDevelops software for embedded devices, often in hardware labs or remote setupsCreates low-level firmware for hardware components, typically in hardware labs or remote
Industry UsageAutomotive, IoT, consumer electronics, industrial systemsConsumer electronics, IoT, aerospace, automotive
Common Search/ComparisonYesYes

Remote Embedded Software and Remote Firmware Engineer roles both involve working on embedded systems, but Embedded Software focuses on higher-level software development, while Firmware Engineers work on low-level hardware control code. Both require similar credentials and are used across industries like automotive and IoT, often in remote or hybrid environments.

Can you work remotely as a remote embedded software engineer?

Remote embedded software engineering roles are increasingly available, allowing professionals to develop firmware and software for hardware devices from a remote location. These positions often require strong skills in programming languages like C or C++, familiarity with hardware tools, and effective communication for collaboration. Many companies offer flexible or fully remote arrangements for qualified candidates.

What are popular job titles related to Remote Embedded Software jobs in Milpitas, CA?

For Remote Embedded Software jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Software jobs in Milpitas, CA look for?

The top searched job categories for Remote Embedded Software jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Remote Embedded Software jobs?

Cities near Milpitas, CA with the most Remote Embedded Software job openings:

Infographic showing various Remote Embedded Software job openings in Milpitas, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

Senior Software Engineer, AI Speed Infrastructure

Nvidia

Santa Clara, CA • On-site, Remote

$143K - $189K/yr

Full-time

Re-posted 7 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

With the latest advances in AI, verification and feedback loops are becoming the clock speed of software development. We are looking for someone who wants to build AI speed infrastructure for Tegra: a ridiculously fast build, test, and validation system for the future, aimed at supporting developers and swarms of agents where turn times will be measured in seconds. We are looking for someone passionate about building the build, test, and validation platform for our Tegra driver developers: someone who can design workflows, build the CI control plane, and dramatically improve development speed and signal quality across large, safety-critical C/C++ codebases. The right person will treat build graphs, test selection, cacheability, hermeticity, hardware scheduling, policy, and developer experience as first-class product surfaces, turning them into workflows teams actually want to use and integrating AI agents into the control plane to enable self-healing and further optimizations.

This is fundamentally a performance engineering role. You will be ruthlessly optimizing every step of the pipeline-rebuilding infrastructure from the ground up wherever needed-to define how code moves from a developer's (or agent's) change to a trusted, merged signal. We want someone who can design fully automated, multi-tiered testing pipelines where code is seamlessly validated across local, remote, and scarce device-lab resources. You will architect how risk-based gating operates at agent-speed, how failures are autonomously diagnosed and remediated, how infrastructure self-heals, and how we scale these next-generation workflows across massive engineering teams.

What you'll be doing:

  • Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases

  • Design fast build, test, and validation paths that keep developers and agents in tight loops

  • Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery

  • Improve incremental builds, caching, remote execution, and test selection

  • Integrate simulation, emulation, and device-backed testing into trustworthy CI

  • Build machine-readable outputs, policies, and recovery paths that agents can safely use at scale

  • Package workflows and platform capabilities so other teams can reuse them

  • Drive adoption with metrics, docs, and hands-on enablement

What we need to see:

  • BS/MS in Electrical or Computer Engineering, or equivalent experience

  • 8+ years of relevant industry experience

  • Strong systems / build architecture for C/C++ codebases

  • Real daily use of AI coding tools and agent workflows

  • Deep experience with build systems, CI orchestration, and test strategy

  • Python / scripting for workflow automation, tooling, and agents

  • Ability to reason about safety-critical or high-assurance validation flows

Ways to stand out from the crowd:

  • Built or scaled CI/build systems for large mono-repos or embedded platforms

  • Improved feedback loops with measurable gains in build/test latency or signal quality

  • Built speed infrastructure for AI coding agents, autonomous validation, or high-throughput CI users

  • Worked on hardware/device-lab testing, remote execution, or change-based test selection

  • Shipped internal AI-assisted developer workflows used by other engineers

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

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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