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Remote Linux Kernel Developer Jobs in Martinez, CA

IONQ

Senior Flight Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Familiarity with embedded Linux, Linux kernel modules, and standard Linux tools. * Strong knowledge of programming compiled (C, C++) and scripted (Python, shell script, etc.) languages. * Experience ...

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Parallelz

Principal Graphics Engineer

San Francisco, CA · On-site +1

$164K - $203K/yr

We allow developers to, with no modifications to their code, transform existing mobile apps into ... kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics ...

Parallelz

Principal Graphics Engineer

San Francisco, CA · Remote

$143K - $177K/yr

We allow developers to, with no modifications to their code, transform existing mobile apps into ... kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics ...

Arka Infotech Inc

Sr. DevOps Engineer

San Francisco, CA · Remote

$153K - $196K/yr

Experience with Linux systems administration and virtualization, preferably in an enterprise ... remote teams Excellent problem solving and troubleshooting skills Passion for development ...

PolySwarm

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Comfortable working in a remote-only environment * Analytical mind * Confidence to share your ideas ... Experience with kernel software development in Windows, Linux, or Mac * Strong software engineering ...

Mercor

MLOps Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... and kernel-level optimization across tasks. * Collaborate with other subject matter experts to ...

Mercor

ML Systems Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... and kernel-level optimization across tasks. * Collaborate with other subject matter experts to ...

Lafmatch

Ruby on Rails Developer (Remote)

Berkeley, CA · Remote

$104K - $143K/yr

Programming is hard work but we believe it should be fun too. And if the product itself is fun ... Basic Linux VPS maintenance (DigitalOcean, etc.) * Hybrid mobile apps (Turbolinks 5, etc.) not ...

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Remote Linux Kernel Developer information

See Martinez, CA salary details

$117.7K

$173.7K

$205.1K

How much do remote linux kernel developer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote linux kernel developer in Martinez, CA is $173,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,000.00 and $192,200.00 per year, depending on experience, location, and employer.

What are Remote Linux Kernel Developers?

Remote Linux Kernel Developers are software engineers who specialize in developing, maintaining, and improving the Linux kernel while working from a location outside of a traditional office. Their work often involves writing, debugging, and optimizing kernel code, collaborating with open-source communities, and ensuring system stability and performance. These developers typically possess deep knowledge of C programming, operating system concepts, and hardware interfaces. Working remotely, they use various collaboration tools to contribute to projects and communicate with team members globally.

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

To thrive as a Remote Linux Kernel Developer, you need a deep understanding of C programming, operating system concepts, and kernel architecture, often supported by a degree in computer science or related experience. Familiarity with Git, Linux kernel build systems, debugging tools like GDB, and contributing to open-source repositories is typically required. Strong problem-solving abilities, clear written communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the ability to develop, maintain, and optimize kernel code effectively while working independently within distributed teams.

What are some common challenges faced by remote Linux Kernel Developers when collaborating with distributed teams?

Remote Linux Kernel Developers often work with globally distributed teams, which can present challenges such as coordinating across time zones, maintaining clear communication, and ensuring code consistency. Effective collaboration typically relies on asynchronous communication tools, thorough code documentation, and participation in regular virtual meetings or code reviews. Developing strong self-management skills and familiarity with collaborative platforms like Git and mailing lists is essential to staying aligned with the team's goals and maintaining productivity.
What cities near Martinez, CA are hiring for Remote Linux Kernel Developer jobs? Cities near Martinez, CA with the most Remote Linux Kernel Developer job openings:
Remote Linux Kernel Developer jobs near you
Infographic showing various Remote Linux Kernel Developer job openings in Martinez, CA as of July 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% Remote job distribution, with an average salary of $173,670 per year, or $83.5 per hour.

CUDA Kernel Engineer (Remote US)

Pragmatike

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

Location: Remote US
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch. You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers.
This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy, warp-level execution, and profiling workflowsnot someone coming from generic hardware, FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput, and scalability of mission-critical AI systems.
What Youll Do
  • Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency.
  • Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA-MEMCHECK.
  • Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead.
  • Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing.
  • Collaborate closely with AI systems, model acceleration, and backend distributed systems teams.
  • Contribute to GPU architecture decisions, kernel libraries, and internal performance-engineering best practices.

What Were Looking For
  • Proven track record building NVIDIA CUDA kernels from scratchnot just calling existing libraries.
  • Strong ability to optimize kernels (tiling strategies, occupancy tuning, shared memory design, warp scheduling).
  • Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory coalescing, as well as warp divergence (how to detect, analyze, and mitigate it)
  • Experience diagnosing PCIe bottlenecks and optimizing host-device transfers (pinned memory, streams, batching, overlap).
  • Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling.

Bonus Points
  • Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG).
  • Background in GPU acceleration for ML frameworks or HPC workloads.
  • Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS).
  • Exposure to compiler-level optimization or PTX/SASS analysis.
  • Startup experience or comfort working in fast-moving, ambiguous environments.

Why This Role Will Pivot Your Career
  • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  • Customer impact: Deploy AI solutions powering Fortune 500 clients.
  • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
  • Funding & growth: Oversubscribed seed round, next funding in 2026.
  • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  • Culture & autonomy: Own critical systems while collaborating with world-class engineers.
  • Aspirational impact: Solve GPU/AI performance challenges few engineers ever face.

Benefits
  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401k

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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