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

Platform Engineer

San Francisco, CA · On-site

$250K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the ...

Showing results 41-60

Ebpf Linux information

See San Ramon, CA salary details

$40

$61

$79

How much do ebpf linux jobs pay per hour?

As of Aug 17, 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:

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 - Network Observability

Clockwork.io

Palo Alto, CA • On-site

$140K - $210K/yr

Full-time

Re-posted 17 days ago


Job description

About Clockwork Systems
Clockwork.io - Software Driven Fabrics to increase GPU cluster utilization
Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion.
To learn more, visit www.clockwork.io.
About the Role
We are seeking an experienced Senior Software Engineer to contribute to the architecture, development, and scaling of a high-performance network monitoring and observability platform. This role will focus on building systems that provide deep visibility into RDMA, RoCE, InfiniBand, and TCP/IP networks. The ideal candidate has strong experience in distributed systems, Linux networking, and modern observability stacks (e.g., Grafana/Prometheus).
What You Will Do
  • Design, develop, and scale high-performance network monitoring platforms for RDMA, RoCE, InfiniBand, and TCP/IP infrastructure.
  • Build backend telemetry services, observability dashboards, alerts, diagnostics, anomaly detection, SLA monitoring, and traffic analysis workflows.
  • Troubleshoot complex production issues across application, OS, server, RDMA, and network layers while optimizing low-latency collection, aggregation, and alerting.
  • Collaborate with cross-functional teams to deliver scalable solutions, improve engineering practices, automate operational workflows, and contribute to the technical direction of the platform.
What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Strong hands-on programming experience in C++, Go, Python, Rust, or similar systems programming languages.
  • Proven experience delivering complex infrastructure projects and contributing to the design and implementation of distributed systems.
  • Experience building distributed systems, backend services, telemetry pipelines, or observability platforms.
  • Hands-on experience with RDMA, RoCE, InfiniBand, or other high-performance network fabrics.
  • Familiarity with libibverbs, RDMA verbs, RDMA CM, queue pairs, completion queues, memory registration, and related RDMA concepts.
  • Strong knowledge of Linux networking, TCP/IP, DNS, HTTP, routing, MTU, congestion control, packet loss, latency, and performance tuning.
  • Experience with traceroute-style diagnostics, path discovery, network reachability checks, synthetic probes, or active network measurements.
  • Experience with monitoring and visualization platforms such as Prometheus, Grafana, Datadog, Splunk, OpenTelemetry, or similar tools.
  • Strong debugging skills across software, operating system, server, and network layers.
  • Experience operating production systems in Linux-based environments.
  • Strong technical judgment and ability to build reliable, scalable, and maintainable systems.
Nice to Have
  • Experience supporting AI/ML, HPC, storage, or GPU cluster infrastructure workloads.
  • Experience with large-scale RoCE or InfiniBand deployments.
  • Experience with NCCL, distributed training infrastructure, or AI cluster diagnostics.
  • Experience with eBPF, XDP, DPDK, perf, tcpdump, Wireshark, ethtool, iproute2, rdma-core, or Linux kernel networking tools.
  • Experience with cloud infrastructure on AWS, GCP, or Azure.
  • Experience with Kubernetes, service discovery, configuration management, and infrastructure automation.
  • Knowledge of security, compliance, and infrastructure best practices.
  • Experience designing time-series data systems, alerting pipelines, or high-cardinality telemetry platforms.

Enjoy
  • Challenging projects.
  • A friendly and inclusive workplace culture.
  • Competitive compensation.
  • A great benefits package.
  • Catered lunch.

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $140,000 - $210,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork's equity program and applicable approvals.
In addition to cash compensation, this role is eligible to participate in the company's equity program, which may include stock options granted in accordance with the company's equity plan and subject to approval and applicable vesting schedules.
Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.