ZipRecruiter

Log In

2

Remote Manager Linux Kernel Engineer Ubuntu Jobs in Napa, 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 ... Familiarity with software configuration management. * Hand-on experience with lab equipment and ...

Parallelz

Principal Graphics Engineer

San Francisco, CA · Remote

$143K - $177K/yr

CPU/GPU bottlenecks, shader cost, texture and buffer management, compositor interactions, and end ... kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics ...

Parallelz

Principal Graphics Engineer

San Francisco, CA · On-site +1

$164K - $203K/yr

CPU/GPU bottlenecks, shader cost, texture and buffer management, compositor interactions, and end ... kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics ...

YO AI Labs

CUDA Developer - Remote

San Francisco, CA · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

New

GCX Healthcare Solutions

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

React (hooks, state management, component architecture) * Solid Linux systems experience (CLI ... remote management, and operational insights. You'll join a small, high-impact team (3-4 engineers ...

Mettle

Laravel Engineer (Remote)

San Francisco, CA · On-site +1

As such, you should be comfortable working remotely, be able to manage your own time, and you will ... Server admin (Ubuntu, ngninx, Forge, Envoyer, Docker) * AWS, Google Cloud, Digital Ocean

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 ...

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 ...

next page

Showing results 1-20

All JobsLinux Kernel Engineer Ubuntu JobsRemote Manager Linux Kernel Engineer Ubuntu JobsRemote Manager Linux Kernel Engineer Ubuntu Jobs in Napa, CA

Remote Manager Linux Kernel Engineer Ubuntu information

See Napa, CA salary details

$12.5K

$129.8K

$146.8K

How much do remote manager linux kernel engineer ubuntu jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote manager linux kernel engineer ubuntu in Napa, CA is $129,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $141,700.00 per year, depending on experience, location, and employer.

What cities near Napa, CA are hiring for Remote Manager Linux Kernel Engineer Ubuntu jobs?

Cities near Napa, CA with the most Remote Manager Linux Kernel Engineer Ubuntu job openings:

Remote Manager Linux Kernel Engineer Ubuntu jobs near you

CUDA Kernel Engineer (Remote US)

Pragmatike

San Francisco, CA • On-site, Remote

$164K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Location: SF on-site
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.

Apply