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.
(Additional locations: San Francisco CA, Sunnyvale CA)
The Machine Learning Platform team builds and supports the critical Distributed Training Framework and tools for every machine learning engineer at Cruise. Our goal is to greatly accelerate the development cycle of machine learning models across the whole company, empowering machine learning engineers to focus on improving the car’s safety and performance, instead of worrying about their infrastructure. We care about performance, ease of use and reliability of our products. We are driven by the success of our partner teams who rely on our work to build the most advanced driverless cars in the world.
What you'll be doing :
- Design, implement and deploy platforms and tools to support machine learning models training/evaluation workflows at Cruise.
- Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs. Effectively engage in team’s planning, code reviews and design discussions
- Consider the effects of projects across multiple teams and proactively manage prioritization. Work closely with partner teams to ensure they are benefiting from the systems we built.
- Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns.
What you must have:
- 5+ years of experience building large-scale distributed applications with high-quality API design
- Experience with ML development lifecycle and ML Ops
- Strong coding in Python or C++
- Experience with distributed training
- Experience with optimizing model training performance
- Experience to scale model training to large number of GPUs/CPUs or other accelerators
- Passionate about self-driving technology and its potential impact on the world
- BS, MS or PhD in CS, Math or equivalent real-world experience
- Can do attitude and willingness to code
Bonus points!
- Knowledge and experience with machine learning algorithms
- Experience building distributed systems on cloud infrastructure
- Deep learning frameworks like PyTorch, TensorFlow, etc
- Building frameworks with high quality lasting APIs
- Understanding of SOTA training optimization algorithms, their performance profiles and their effects on model convergence
- Experience scaling model performance optimization work across many teams
- Experience with build systems (Bazel, Buck, Blaze or Cmake)
- Experience working with Docker and Kubernetes
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, and benefits. These ranges are subject to change.
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, 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.
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.
