at Cruise LLC
Full TimeWe'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.
The Autonomous Vehicle (AV) software stack is a sophisticated workload that includes compute and data intensive functions within perception, prediction, planning and control. Maturity of the software not only depends on feature development but also meticulous and well defined analysis to provide feedback to feature engineering and testing teams. The Performance analytics is such a team bridging feature optimization and various testing platforms. Closely collaborating with Data science and Autonomy teams, we discover and define performance metrics enabling trend & insights for performance and reliability; we develop quantitative analysis and applications to facilitate development; and we continuously monitor on-road and testing status and derive release projection, feeding to leadership decisions.
In this role, you’ll closely work with Data scientists, System Engineering and Autonomy teams to build up infrastructures to speed up various feature minings & learnings, build ML models to evaluate simulation performance across multiple platforms and continuously improve models for usability, scalability and adoption. You will have the opportunity of influencing how the test and data platform is designed, built and evaluated, work with product/project management defining the roadmap.
Work on feature development for autonomous vehicle reliability dataset.
Collaborate with autonomy engineers to improve the quality and composition of our dataset.
Build machine learning models to scale up faulty segment and test cases management
Build end-to-end ML workflow, with usability, scalability adoption well taken into consideration
Resolving issues in a timely manner and providing support for customer teams
Work with project/product management for project planning and roadmap
BA or Master in CS, EE or relevant software engineering field
Past delivery of end to end machine learning model powered applications
Proficient in python/sql/c++
Strong statistical learning background
Experience of data storage and management system(e.g SQL, Big Query, DBT, etc)
Experience of working in a cloud environment(e.g, AWS, GCP, etc)
Knowledge and experience in at least one of perception, computational geometry, robotics path finding & motion planning, mapping.
Experience working with autonomous vehicle software ROS
Pytorch and GPU programing and training
Transfer learning through pre-trained modern deep learning network models.
The salary range for this position is $161,200 - $237,000. 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.
Our benefits are here to support the whole you:
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 HR@getcruise.com.
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.
Yearly based
San Francisco, CA
