ZipRecruiter

Log In

2

Remote Linux Kernel Developer Jobs in San Francisco, CA

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 ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

Develop and and maintain staging, testing, and developer environments that provide a uniform base ... Substantial Linux System Administration experience Nice to have, but not required: * Building large ...

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 ...

Cypress HCM

5G Algorithm Engineer

Redwood City, CA · On-site +1

Remote USA Employees : Industry : Wireless services Position Reporting To: Algorithm Engineering ... Proficiency with Linux command-line tools and a Linux-based development environment. * Knowledge of ...

GCX Healthcare Solutions

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

Build Linux-based client applications that bridge hardware peripherals to cloud services (e.g ... remote management, and operational insights. You'll join a small, high-impact team (3-4 engineers ...

Five9

Senior Cloud Infrastructure Engineer

San Ramon, CA · On-site +1

$121K - $164K/yr

Expert knowledge of Kubernetes and Linux systems (Ubuntu, RHEL/CentOS). * Proficiency with ... and DevOps practices. Work Location: This role is fully remote for candidates who reside outside ...

Biohub

Staff AI Infrastructure Engineer

Redwood City, CA · On-site +1

$131K - $172K/yr

Strong Linux systems fundamentals - networking (TCP/IP, InfiniBand, RDMA, MTU/MSS/PMTUD), storage ... kernel internals (cgroups, namespaces, eBPF, sysctls). * Hands-on experience with Kubernetes and ...

previous pagenext page

Showing results 21-40

All JobsLinux Kernel Developer JobsRemote Linux Kernel Developer JobsRemote Linux Kernel Developer Jobs in San Francisco, CA

Remote Linux Kernel Developer information

See San Francisco, CA salary details

$119K

$175.6K

$207.4K

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

As of Aug 8, 2026, the average yearly pay for remote linux kernel developer in San Francisco, CA is $175,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $160,800.00 and $194,400.00 per year, depending on experience, location, and employer.

What is a remote Linux kernel developer?

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?

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 are the most commonly searched types of Linux Kernel Developer jobs in San Francisco, CA? The most popular types of Linux Kernel Developer jobs in San Francisco, CA are:
What are popular job titles related to Remote Linux Kernel Developer jobs in San Francisco, CA? For Remote Linux Kernel Developer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote Linux Kernel Developer jobs in San Francisco, CA look for? The top searched job categories for Remote Linux Kernel Developer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote Linux Kernel Developer jobs? Cities near San Francisco, CA with the most Remote Linux Kernel Developer job openings:
Remote Linux Kernel Developer jobs near you

ML Systems Engineer - AI Trainer

Mercor

San Francisco, CA • Remote

$70 - $110/hr

Full-time

Re-posted 16 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: PyTorch Expert
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Triton or Pallas.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor