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Remote Linux Device Driver Developer Jobs in Santa Clara, CA

Senior Software Engineer

Santa Cruz, CA ยท Remote

$117K - $193K/yr

... level software on Linux platforms that support Joby Aviation's commercial and flight test ... Lead the design and implementation of frameworks to support remote monitoring and management of ...

Familiarity with Linux drivers, PCIe enumeration, or register-level programming Compensation The US ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Senior Software Engineer

Santa Cruz, CA ยท Remote

$117K - $193K/yr

... level software on Linux platforms that support Joby Aviation's commercial and flight test ... Lead the design and implementation of frameworks to support remote monitoring and management of ...

DevOps Software Engineer

Sunnyvale, CA ยท On-site +1

$110K - $190K/yr

North America (Remote) Compensation: $110,000 - $190,000 / year Description SDVI's DevOps team is ... Automate creation of Windows and Linux AMIs to rapidly scale deployments of third-party providers

Principal Graphics Engineer

Santa Clara, CA ยท Remote

$143K - $177K/yr

Linux device driver programming. Nice-to-Haves * Experience building, fine-tuning, or evaluating internal AI/agent tooling that augments engineering work. * A data-driven mindset, relying on ...

MES Scada Engineer _Remote Location: Seattle (REMOTE 100% / Could be traveling to different ... LINUX and Windows Operating Systems. 5 years of experience with C, Java, Oracle Database, SQL ...

C# Developer M365 Backup

San Jose, CA ยท Remote

$64.50 - $80/hr

Advanced knowledge of Windows or Linux operating systems * Experience in the development for ... Remote work is only possible for employees located in the United States. #LI-Remote #LI-KFUS

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Remote Linux Device Driver Developer information

See Santa Clara, CA salary details

$42

$64

$83

How much do remote linux device driver developer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote linux device driver developer in Santa Clara, CA is $64.97, according to ZipRecruiter salary data. Most workers in this role earn between $58.99 and $69.71 per hour, depending on experience, location, and employer.

What does a Remote Linux Device Driver Developer do?

A Remote Linux Device Driver Developer designs, develops, tests, and maintains device drivers for the Linux operating system while working remotely. Their main responsibility is to enable hardware devices, such as network cards or storage controllers, to communicate properly with Linux-based systems. This role involves writing low-level code in languages like C, debugging kernel modules, and collaborating with hardware and software engineers to ensure compatibility and performance. Remote work allows these developers to collaborate with teams worldwide using communication tools and version control systems.

What are the key skills and qualifications needed to thrive as a Remote Linux Device Driver Developer, and why are they important?

To thrive as a Remote Linux Device Driver Developer, you need strong proficiency in C/C++ programming, Linux kernel architecture, and hardware interface protocols, typically backed by a degree in computer science or related field. Familiarity with development tools like Git, GDB, and cross-compilation toolchains, as well as experience with kernel module development, is essential. Excellent problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills ensure robust driver performance, smooth hardware integration, and efficient collaboration across distributed teams.

How does a Remote Linux Device Driver Developer typically collaborate with hardware and QA teams?

As a Remote Linux Device Driver Developer, collaboration with hardware engineers and QA teams is crucial to ensure drivers are robust and compatible with target devices. Communication is typically managed through regular video meetings, documentation, and issue tracking platforms like Jira or GitHub. Developers often review hardware specifications, participate in design discussions, and respond to QA feedback on bugs or performance issues. This collaborative workflow ensures hardware-software integration is seamless, even when teams are distributed globally.
What are popular job titles related to Remote Linux Device Driver Developer jobs in Santa Clara, CA? For Remote Linux Device Driver Developer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Linux Device Driver Developer jobs in Santa Clara, CA look for? The top searched job categories for Remote Linux Device Driver Developer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Linux Device Driver Developer jobs? Cities near Santa Clara, CA with the most Remote Linux Device Driver Developer job openings:
Senior Software Engineer, AI Speed Infrastructure

Senior Software Engineer, AI Speed Infrastructure

NVIDIA

Santa Clara, CA โ€ข On-site, Remote

$142K - $188K/yr

Other

Posted 2 days ago


Job description

NVIDIA Tegra AI Speed Infrastructure Engineer

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 pipelineโ€”rebuilding infrastructure from the ground up wherever neededโ€”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.


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