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Ebpf Linux Jobs in San Ramon, CA (NOW HIRING)

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Ebpf Linux information

See San Ramon, CA salary details

$40

$61

$79

How much do ebpf linux jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ebpf linux in San Ramon, CA is $61.82, according to ZipRecruiter salary data. Most workers in this role earn between $56.15 and $66.35 per hour, depending on experience, location, and employer.

What is an eBPF Linux engineer?

An eBPF Linux engineer is a software professional who specializes in working with eBPF (extended Berkeley Packet Filter) technology on the Linux operating system. eBPF allows for the execution of sandboxed programs in the Linux kernel, enabling advanced networking, security, and observability features without modifying kernel source code. Engineers in this role typically develop, optimize, and troubleshoot eBPF programs for use cases such as network monitoring, performance analysis, and security enforcement. They need a strong understanding of Linux internals, networking, and programming in C and sometimes Rust or Go. eBPF Linux engineers are increasingly in demand due to the growing use of cloud-native and containerized environments.

What are the key skills and qualifications needed to thrive as an eBPF Linux engineer?

To thrive as an eBPF Linux Engineer, you need strong skills in Linux systems programming, networking fundamentals, and proficiency with C or Go, often supported by a computer science degree or equivalent experience. Familiarity with eBPF tools (like bpftrace, libbpf, or bpftool), kernel debugging, and knowledge of containerization platforms are typically required. Analytical thinking, problem-solving, and effective collaboration set top professionals apart in this field. These competencies are crucial for developing efficient, secure, and scalable system observability or networking solutions within complex Linux environments.

What are some common challenges faced when developing with eBPF on Linux systems?

Developing with eBPF on Linux often involves navigating kernel version compatibility, as eBPF features evolve rapidly and may not be available on older kernels. Debugging eBPF programs can also be challenging due to strict verifier constraints and limited debugging tools. Additionally, integrating eBPF with existing monitoring or networking solutions requires a solid understanding of both kernel space and user space interactions. Collaborating with platform engineers and security teams is common, as eBPF programs frequently impact system performance and security.

What is the difference between Ebpf Linux vs Linux Kernel Developer?

AspectEbpf LinuxLinux Kernel Developer
Required credentialsKnowledge of eBPF, Linux internals, C programmingDeep understanding of Linux kernel, C, and kernel modules
Work environmentDeveloping and deploying eBPF programs within Linux systemsWriting, maintaining, and optimizing Linux kernel code
Employer and industry usageTech companies, cloud providers, security firms using eBPF for monitoring and securityOperating system vendors, enterprise IT, open-source projects

Ebpf Linux specialists focus on developing eBPF programs to enhance Linux system capabilities, while Linux Kernel Developers work on core kernel code. Both roles require strong C skills and Linux knowledge but differ in scope and focus.

What job categories do people searching Ebpf Linux jobs in San Ramon, CA look for?

The top searched job categories for Ebpf Linux jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Ebpf Linux jobs?

Cities near San Ramon, CA with the most Ebpf Linux job openings:

Ebpf Linux jobs near you
Infographic showing various Ebpf Linux job openings in San Ramon, CA as of June 2026, with employment types broken down into 35% Full Time, 46% Part Time, and 19% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,584 per year, or $61.8 per hour.

Senior Software Engineer

Gradient Robotics

San Francisco, CA • On-site

$180 - $280/hr

Other

Re-posted 15 days ago

Job description

About the Company

The datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible.

Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.

About the role

We're looking for a Founding Software Engineer to own how Gradient Robotics moves data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, owning real-time pipelines that move hundreds of megabytes at single-digit millisecond latency. Vision inference, control loops, and actuation all live on the same clock, and it's your job to keep them there. The goal: bring visibility and determinism into the end-to-end inference pipeline so the ML model is the only stochastic component.

Responsibilities

  • Ship performance-critical code to real robots daily

  • Own the full data flow: camera frames in, perception and planning in the middle, control commands and actuator feedback out, and every system that carries them

  • Own the real-time control loop: keep high-rate control running deterministically alongside vision inference, and make sure a slow frame never becomes a late motor command

  • Build the perception data path: move high-bandwidth camera streams into the CV and ML models with minimal latency and zero silent drops

  • Push down latency and tighten the stack to make the system faster, more deterministic, and more reliable

  • Bring visibility into the pipeline: build the tooling and instrumentation that make real-time behavior across controls and vision observable and debuggable

Minimum Qualifications

  • 5+ years of software engineering experience building production systems close to hardware (drivers, kernels, embedded, robotics, or similar)

  • Software: Rust, Python, C++, operating systems, and multithreading

  • Infrastructure: Bazel, Nix, HIL testing, and CI/CD

  • Firmware and platform: Linux kernel hacking and embedded systems

  • Debugged timing and concurrency issues in the wild

  • Owned messy, ambiguous problems and turned them into robust software

  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team

Preferred Qualifications

  • Experience with real-time control systems: motor control, high-rate control loops, or robot controllers

  • Computer vision pipeline experience: camera drivers, image transport, GPU inference, or sensor synchronization

  • Tracing and profiling experience: ftrace, flamegraphs, eBPF

  • Linux I/O experience: DPDK, SPDK, io_uring

  • Comfort using AI tools to multiply your own output

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