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Rust Ebpf Jobs (NOW HIRING)

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Software: Rust, Python, C++, operating systems, and multithreading * Infrastructure: Bazel, Nix ... Tracing and profiling experience: ftrace, flamegraphs, eBPF * Linux I/O experience: DPDK, SPDK, io ...

Strong programming fundamentals in at least one of Rust, C++, or Python, with solid understanding ... Tracing and profiling experience: ftrace, flamegraphs, eBPF * Comfort using AI tools to multiply ...

... eBPF), complex distributed systems, and understanding of internet protocols and technologies. As ... Systems-level programming experience in Go, Python, Rust, C, or C++ * A solid grasp of BGP and ...

Endpoint Engineer

Sunnyvale, CA · On-site

$200 - $250/hr

Strong Rust programming skills with a focus on high-performance, low-level OS integrations * Deep ... Experience with cross-platform endpoint telemetry collection utilizing Linux eBPF and macOS ESF

Showing results 41-60

Rust Ebpf information

See salary details

$25K

$69.4K

$99K

How much do rust ebpf jobs pay per year?

As of Sep 9, 2026, the average yearly pay for rust ebpf in the United States is $69,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a Rust eBPF developer?

Rust eBPF developers are software engineers who specialize in writing and deploying eBPF (extended Berkeley Packet Filter) programs using the Rust programming language. eBPF allows users to run sandboxed programs in the Linux kernel, enabling advanced observability, networking, and security use cases. By leveraging Rust, developers can write safer and more reliable eBPF code, benefiting from Rust's strong type system and memory safety guarantees. These professionals often work on performance monitoring tools, tracing frameworks, or network filtering applications.

What are the key skills and qualifications needed to thrive as a Rust eBPF developer?

To thrive as a Rust eBPF Developer, you need strong programming skills in Rust and C, a solid understanding of Linux systems, and experience with kernel-level programming or networking concepts. Familiarity with eBPF toolchains (such as BCC, libbpf, or aya), Linux tracing tools, and containerization platforms is typically required. Analytical thinking, problem-solving abilities, and effective communication make someone stand out in this position. These skills are crucial for developing efficient, safe, and maintainable eBPF programs that enhance system observability and performance.

What are some common challenges faced by Rust eBPF developers, and how can they be addressed?

Rust eBPF developers often encounter challenges such as ensuring memory safety within the restricted eBPF execution environment and adhering to strict verifier constraints. Debugging eBPF programs can also be tricky due to limited observability and tooling compared to traditional Rust development. To address these challenges, developers typically rely on specialized libraries like 'aya' for Rust, utilize extensive testing in user space before deployment, and collaborate closely with kernel developers and operations teams to ensure smooth integration. Staying engaged with the eBPF and Rust communities can also provide valuable support and keep you updated on best practices.

What other helpful pages are available for Rust Ebpf?

Other pages related to Rust Ebpf:

Infographic showing various Rust Ebpf job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $69,416 per year, or $33.4 per hour.

Senior / Staff Software Engineer (Observability / SRE)

Pittsburgh, PA • On-site, Remote

$148K - $249K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..
- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.
- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.
- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).
- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.
- Work with client teams to support their applications’ observability requirements.
- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.
- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership.
 
Qualifications:
- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.
- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.
- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).
- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.
- Proven track record of clear communication, writing design docs, and leading cross-functional efforts.
 
Bonus:
- Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).
- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.
- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).
- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).
The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.