Staff Performance Engineer, System Hardware at Uber (San Francisco, CA)

| San Francisco, CA
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Uber Metal provides TCO optimized, high quality and reliable hardware and cloud infrastructure to support the technology stack that supports Ubers diverse applications across Mobility, Deliver and Freight
Hardware performance is a key attribute used to derive TCO optimized hardware for Uber infrastructure platforms such as compute, storage, data and machine learning. This role will involve ensuring that we are meeting or exceeding our target performance metrics across these platforms by owning every aspect of hardware performance including benchmarking, system tuning, and optimization
---- What the Candidate Will Do ----
  1. Own the architecture and development of the framework (hardware and software) required for execution of benchmarks with different configurations, parsing and storing results and post processing results for analysis and visualization
  2. Drive the roadmap and features for the performance benchmarking framework to align with requirements of stakeholders for next generation hardware and/or changes in software ecosystem within or outside Uber ex - operating systems, kernels, toolchains, compilers and other open source packages
  3. Work with internal stakeholders across compute, storage, data and machine learning and analyze workload performance on different hardware configurations, recommend tunings and optimization strategies to improve performance
  4. Engage with application developers to architect and develop standalone synthetic code routines that mimic production workloads in the benchmarking setup
  5. Proactively identify and root cause performance bottlenecks in applications running in production by analyzing performance metrics
  6. Participate in internal and external industry events to learn and adopt new techniques and tools that can benefit the performance of Metal hardware infrastructure

---- Basic Qualifications ----
  1. 4+ years of relevant experience
  2. Hands-on experience working with server systems including functions such as setting up networking, boot, out of band monitoring, operating systems, and application packages
  3. Proficient in one or more of the following areas from performance and benchmarking perspective: CPU microarchitecture (based on x86, Arm etc) or Storage subsystem or Memory subsystem
  4. Fundamental understanding of the various software components such Linux kernel, compilers, Java etc. Experience with container environments, databases, HDFS a plus
  5. Experience with using one or more open-source or vendor application tools such as flamegraph, linux perf, iostat, vmstat etc.
  6. Hands on experience with setting up with Benchmarking suites for cpu , storage, memory and ML ex - specCPU2017, specJBB, MLperf
  7. Ability to script in Python, Bash or equivalent language to
    build performance benchmarking automation

---- Preferred Qualifications ----
  1. 8+ years of relevant experience
  2. Proficient in all of the following areas from performance and benchmarking perspective CPU microarchitecture (based on x86, Arm etc), Storage subsystem, Memory subsystem
  3. Deep understanding of Linux kernel components, including tuning strategies to get best performance for different hardware architecture.
  4. Proficient in Bash, Python or equivalent language
  5. Developed and submitted open source tools, packages for performance analysis, monitoring using tools such as perf
  6. Multiple examples of prior experience with root causing complex performance issues seen in applications running on a variety of hardware
  7. Ability to create dashboards, write SQL to analyze large amounts of performance data a plus
  8. Presented and participated in industry forums on server and application performance

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action 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.
Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, Uber recommends all US- and Canada-based employees to be vaccinated in order to access any of our facilities; this is subject to change solely at the Company's discretion.
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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

Paige Sammarco

Account Executive, Uber Eats

What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

Azarias Reda

Head of Uber's Experimentation API team

What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

Ali Faivus

Head of Mid-Market Sales

How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

Joe Chang

Director of Engineering, Uber Freight

How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.

Silvia Penna

Sr Manager, Central Operations

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