Staff Engineer, Performance and Capacity

Posted:
10/14/2024, 9:01:16 AM

Location(s):
California, United States ⋅ San Francisco, California, United States

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

Workplace Type:
Remote

Pay:
$165/hr or $343,200 total comp

We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

As a Staff Engineer for the Capacity and Performance Engineering (CPE) Team, you will be working on efforts to improve the scalability and efficiency of Cruise’s infrastructure. You will need to work cross-functionally with engineering and various teams everyday to drive efficiency initiatives and develop tooling to automate this. You will be responsible for collaborating with engineering for building scalable and efficient platforms, and optimizing our existing platforms. Your day will involve working across teams such as AI, Product, and Infrastructure to develop the structure for cost showback and self-service analysis, leading the CPE team for cloud efficiency discovery and execution, and working on strategic projects that will shape the future of Cruise. In particular, we’re looking for someone with familiarity with high performance compute clusters, scheduler logic, and resource contention tradeoff experience. We’re looking for an engineer that has a proven ability to make logic gate tradeoffs to represent efficiency targets without going too far and is comfortable investing the team in deep understanding to find novel improvements backed by data. 


 

What you'll be doing: 

  • Provide deepest visibility to what is going on for all products: Run capacity and performance experiments to determine scaling and utilization parameters for various service tiers.
  • Proactively identify gaps in infrastructure efficiency and workflow efficiencies, with being a key contributor in driving proposals to results 
  • Partner with engineering teams, Compute/Simulation platform in particular, to conduct capacity and performance experiments to resolve potential performance bottlenecks
  • Work closely with software engineers to reduce their consumption of cloud resources and improve their performance
  • Work with cloud service providers to proactively negotiate and retain necessary SKUs and capabilities required for efficient scale and capacity readiness
  • Work frequently with other teams to coordinate major changes to cross-system architectures, influencing upstream or downstream for the most efficient solution.
  • Present efficiency opportunities and project cost savings to Cruise executive team  
  • Design, develop and lead automation to help capacity plan for both near and long term 

 

What you must have:

  • Familiarity with HPC clusters, Compute Platforms
  • 8+ years experience in capacity or performance engineering role
  • 5+ years experience managing teams
  • Expert application performance experience
  • Expert knowledge of various public cloud providers
  • Expert with data modeling for public cloud
  • Expert with budgeting and capacity planning experience
  • Expert in SQL, Python,  scripting, and building automation tools 
  • Self-disciplined and thrives in fast moving environment
  • Excellent communication skills

 

The salary range for this position is $175,100 - $257,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

Why Cruise?

Our benefits are here to support the whole you:

  • Competitive salary and benefits 
  • Medical / dental / vision, Life and AD&D
  • Subsidized mental health benefits
  • Paid time off and holidays
  • Paid parental, medical, family care, and military leave of absence
  • 401(k) Cruise matching program 
  • Fertility benefits
  • Dependent Care Flexible Spending Account
  • Flexible Spending Account & Health Saving Account
  • Perks Wallet program for benefits/perks
  • Pre-tax Commuter benefit plan for local employees
  • CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).

We’re Integrated

  • Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded

  • GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.

Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].

We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives. Know Your Rights: Workplace Discrimination is Illegal

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.

Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners. 

No Application Deadline

Cruise

Website: https://www.getcruise.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 1001-5000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Secondary Market

Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation