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Intern Linux Kernel Development Jobs in California

Strong experience in Linux Kernel development , especially in areas such as virtualization (KVM), schedulers, and memory management and device trees. * Solid knowledge of ARMv8 and ARMv9 architecture ...

Work on a variety of projects with custom built Linux on custom built hardware. Preferred candidate ... Kernel driver development experience preferred. Additional Information All your information will be ...

Work on a variety of projects with custom built Linux on custom built hardware. Preferred candidate ... Kernel driver development experience preferred. Qualifications Additional Information All your ...

Senior Staff Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

Strong experience in Linux Kernel development , especially in areas such as virtualization (KVM), schedulers, and memory management and device trees. * Solid knowledge of ARMv8 and ARMv9 architecture ...

Experience with Linux kernel driver development, kernel modules, sysfs and debugging techniques * Experience with development in C * Experience with git * Willingness to work in a structured software ...

Embedded Linux Engineer

Costa Mesa, CA · On-site

$166K - $220K/yr

Experience with Linux kernel development * Experience with uboot, EDK2, platform firmware, etc * Interest in using Nix/NixOS as an alternative to Yocto, buildroot, etc * Experience with C or Rust * U.

What the job involves We are seeking a Senior Firmware Engineer with deep expertise in Linux kernel and device driver development to join our Device Software team. In this role, you will own the low ...

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Intern Linux Kernel Development information

What are some common challenges faced by interns in Linux Kernel Development roles?

Interns in Linux Kernel Development often encounter challenges such as understanding the vast and complex codebase, adhering to strict coding and documentation standards, and navigating the kernel community’s review processes. It's common to spend significant time learning about kernel subsystems and debugging intricate issues. Collaborating with experienced developers and actively engaging in mailing lists can help interns overcome these hurdles and grow their technical and communication skills.

What are the key skills and qualifications needed to thrive as an Intern in Linux Kernel Development, and why are they important?

To thrive as an Intern in Linux Kernel Development, you need a solid understanding of C programming, operating system concepts, and familiarity with Linux environments, often supported by coursework or relevant projects. Experience with version control systems like Git and tools such as GDB for debugging, as well as basic knowledge of kernel build systems, is typically expected. Strong analytical thinking, attention to detail, and proactive communication help interns stand out in collaborative and technically complex settings. These skills and qualities are essential for effectively contributing to kernel codebases, troubleshooting issues, and learning from experienced developers in a challenging open-source environment.

What does an Intern Linux Kernel Development do?

An Intern in Linux Kernel Development assists in developing, testing, and debugging components of the Linux kernel. Their responsibilities typically include writing kernel code, fixing bugs, submitting patches, and collaborating with senior developers. Interns may also work on documentation and learn about the kernel development workflow, tools, and community practices. This role provides hands-on experience with low-level programming and open-source software development.
What are the most commonly searched types of Linux Kernel Development jobs in California? The most popular types of Linux Kernel Development jobs in California are:
What are popular job titles related to Intern Linux Kernel Development jobs in California? For Intern Linux Kernel Development jobs in California, the most frequently searched job titles are:
What job categories do people searching Intern Linux Kernel Development jobs in California look for? The top searched job categories for Intern Linux Kernel Development jobs in California are:
Software Engineer, Sandboxing (Systems)

Software Engineer, Sandboxing (Systems)

Anthropic

San Francisco, CA • On-site

$203K - $241K/yr

Other

Posted 27 days ago


Job description

Anthropic is seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you'll work on accelerating and optimizing our virtualization and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.

Responsibilities:
  • Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments
  • Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure
  • Investigate and resolve performance bottlenecks in virtualized environments
  • Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware
  • Develop tooling for monitoring and improving virtualization performance
  • Work with our ML engineers to understand their computational needs and optimize our systems accordingly
  • Contribute to the design and implementation of our next-generation compute infrastructure
  • Share knowledge with team members on low-level systems programming and Linux kernel internals
  • Partner with cloud providers to influence hardware and platform features for AI workloads
You may be a good fit if you:
  • Have experience with Linux kernel development, system programming, or related low-level software engineering
  • Understand virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics
  • Have experience optimizing system performance for compute-intensive workloads
  • Are familiar with modern CPU architectures and memory systems
  • Have strong C/C++ programming skills and ideally experience with systems languages like Rust
  • Understand Linux resource management, scheduling, and memory management
  • Have experience profiling and debugging system-level performance issues
  • Are comfortable diving into unfamiliar codebases and technical domains
  • Are results-oriented, with a bias towards practical solutions and measurable impact
  • Care about the societal impacts of AI and are passionate about building safe, reliable systems
Strong candidates may also have experience with:
  • GPU virtualization and acceleration technologies
  • Cloud infrastructure at scale (AWS, GCP)
  • Container technologies and their underlying implementation (Docker, containerd, runc, OCI)
  • eBPF programming and kernel tracing tools
  • OS-level security hardening and isolation techniques
  • Developing custom scheduling algorithms for specialized workloads
  • Performance optimization for ML/AI specific workloads
  • Network stack optimization and high-performance networking
  • Experience with TPUs, custom ASICs, or other ML accelerators
Representative projects:
  • Optimizing kernel parameters and VM configurations to reduce inference latency for large language models
  • Implementing custom memory management schemes for large-scale distributed training
  • Developing specialized I/O schedulers to prioritize ML workloads
  • Creating lightweight virtualization solutions tailored for AI inference
  • Building monitoring and instrumentation tools to identify system-level bottlenecks
  • Enhancing communication between VMs for distributed training workloads

Deadline to apply: None. Applications will be reviewed on a rolling basis.