About the Role

Uber is seeking a motivated and versatile Performance & Qualification Engineer to join our Fleet Engineering team in Sunnyvale, CA, or Mission Bay (San Francisco). This role operates at the intersection of hardware benchmarking, kernel diagnostics, and service observability, with exposure to next-generation infrastructure platforms like x86/ARM, ML and containerized cloud environments.

The ideal candidate has a passion for performance analysis, is skilled in system-level diagnostics, and is eager to grow into a broader performance engineering role spanning benchmarking, software tuning, and platform reliability.

---- What the Candidate Will Do ----

1. Lead and support hardware and kernel qualification efforts, including hands-on benchmarking of new server platforms, collaborating with vendors and internal hardware teams.
2. Analyze container workload performance using tools such as SpecINT, FIO, Net Perf, and STREAM, and deliver insights to guide hardware selection.
3. Benchmark distributed applications (e.g., Cassandra, Redis, Docstore) and identify kernel-level bottlenecks across versions and configurations.
4. Collaborate with kernel, storage, and Odin teams to debug regressions, reproduce production-like scenarios, and generate actionable reports.
5. Drive observability improvements by contributing to tools like Ceilometer and maintaining Tableau dashboards to surface benchmarking trends and regression risks.
6. Deploy and maintain containerized benchmarks and diagnostic services across multi-cluster environments, ensuring reproducibility and cross-platform compatibility.
7. Contribute to Uber's qualification roadmap and partner with teams across Infra and NGFE to accelerate our modernization and performance optimization charter.
8. Drive architectural and tooling decisions that influence how Uber builds, monitors, and scales its systems.

---- Basic Qualifications ----

1. 3+ years of experience in performance benchmarking, system diagnostics, or infrastructure testing.

2. Strong scripting or programming skills (e.g., Python, Bash, Go).

3. Familiarity with Linux performance tools and techniques (e.g., perf, top, FIO, Net Perf).

4. Experience benchmarking applications and systems across multiple hardware platforms.

5. Exposure to Docker, Kubernetes, or other container orchestration environments.

6. Excellent analytical and communication skills with a focus on detail and follow-through.

---- Preferred Qualifications ----

1. Experience benchmarking ARM-based architectures or modern AMD platforms.
2. Hands-on experience with kernel version testing, performance regression analysis, and system-level tuning.
3. Familiarity with Tableau, Prometheus, or observability frameworks like Ceilometer.
4. Exposure to databases, storage systems, or distributed caching performance evaluation.

Interest in growing into a full-stack performance engineer, including cloud cost optimization and service tuning.

• For Sunnyvale, CA-based roles: The base salary range for this role is USD**$153,000 per year**
• USD**$170,000 per year**.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.