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Remote Junior Linux Kernel Engineer Ubuntu Jobs in California

This role owns that expansion as the sole DRI for the Next Gen VDI platform: the remote-compute ... Proficiency with Linux system administration (Ubuntu preferred) and Windows 11 endpoint management ...

Principal Graphics Engineer

San Francisco, CA · On-site +1

$164K - $203K/yr

... as a junior pair you direct and verify, not a passenger. Requirements This is a technically ... kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics ...

Senior Backend Engineer

Palo Alto, CA · Remote

$150K - $180K/yr

... Remote Access Named in Forrester research on Operation Technology Security Solutions, and ... Strong communication skills and expert system level skills on Linux OS such as Ubuntu, Alpine, Red ...

Work with Linux systems (systemd, networking, tuning, kernel parameters). * Work with Asterisk in ... Remote work as b2b contractor or on-site/hybrid employment (Belarus-Moldova) work opportunity!

Showing results 21-40

Remote Junior Linux Kernel Engineer Ubuntu information

What is the difference between Remote Junior Linux Kernel Engineer Ubuntu vs Remote Junior Linux System Administrator?

AspectRemote Junior Linux Kernel Engineer UbuntuRemote Junior Linux System Administrator
Primary FocusDeveloping and optimizing Linux kernel components on UbuntuManaging, configuring, and maintaining Linux systems and servers
Required SkillsLinux kernel development, C programming, Ubuntu environmentLinux system setup, scripting, troubleshooting, Ubuntu/Debian familiarity
CertificationsLinux Foundation Certified Engineer, Kernel development coursesLPIC-1, CompTIA Linux+, Ubuntu certifications
Work EnvironmentDevelopment teams, Linux kernel projects, Ubuntu-based systemsIT support, system administration, server management

While both roles involve Linux and Ubuntu, the Remote Junior Linux Kernel Engineer Ubuntu focuses on kernel development and optimization, whereas the Remote Junior Linux System Administrator handles system maintenance and support. The former requires programming and kernel knowledge, while the latter emphasizes system management skills.

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Infographic showing various Remote Junior Linux Kernel Engineer Ubuntu job openings in California as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer, LLM Inference Optimization

Nebius

Palo Alto, CA • On-site, Remote

$144K - $189K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

The role 

Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering.

A Senior MLE owns substantial model and endpoint optimization projects end to end. They are deeply hands-on, can debug difficult serving problems independently, and can deliver measurable improvements without needing heavy supervision.

Your responsibilities: 

  • Own optimization work for specific model families, customer endpoints, or serving backends.

  • Run engine comparisons and recommend practical serving configurations for specific workloads.

  • Debug model quality or performance regressions during production rollouts.

  • Optimize LLM and VLM endpoints for latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.

  • Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, or similar systems.

  • Build and productionize model-compression workflows, including quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.

  • Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving.

  • Build reproducible benchmark harnesses for TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token.

  • Partner with GPU kernel engineers and platform engineers to diagnose bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.

  • Write clear design docs, performance reports, rollout plans, and customer-facing technical explanations.

Must-haves: 

  • Strong Python and PyTorch engineering skills.

  • Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference systems.

  • Practical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems.

  • Strong understanding of transformer inference bottlenecks, including KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.

  • Ability to reason quantitatively about latency, throughput, quality, utilization, and cost tradeoffs.

  • Strong communication skills and ability to collaborate with research, kernel, infrastructure, product, and customer teams.

Nice-to-haves: 

  • Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, SmoothQuant, or related techniques.

  • Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or other inference acceleration methods.

  • Experience with agentic workloads, including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.

  • CUDA or Triton familiarity, even if the role is not primarily a kernel-engineering role.

  • Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, KServe, or related projects.

Key employee benefits in the US:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

  • 401(k) plan: Up to 4% company match with immediate vesting.

  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

  • Remote work reimbursement: Up to $85/month for mobile and internet.

  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

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