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.

Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

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, join us.

About the Robotics team:

The Robotics engineering team is responsible for the software and algorithms that make the vehicle select and follow appropriate trajectories in a safe, accurate, and reliable manner. This includes localization, routing, remote assistance, planning, motion planning and controls, frameworks and performance, and Embedded Software (responsible for the hardware interface to the car’s actuators and sensors).

About the role:

The Engineering Manager for Machine Learning in Maneuver Planning team will lead, manage, and grow a highly effective engineering team dedicated to the application of advanced machine learning technologies to planning and controls of autonomous vehicles.  At Cruise, we believe in managers who remain deeply technical, and understand the challenges their teams are facing, even though they may not be contributing code day to day. Our managers coach their teams to success, shield their teams from distractions, and help publicly celebrate wins. The ML in Planning team is directly responsible for integrating leading edge Deep Reinforcement Learning and other machine learning technologies into the Cruise Autonomous Vehicle planning and control stack, resulting in superhuman autonomous driving performance in complex and diverse on-road scenarios, including dense urban environments.

What you’ll be doing:

  • Lead and grow a team of engineers with ML expertise within Robotics Autonomous Vehicle Engineering 
  • Develop a vision and strategy for the utilization of ML technology in Cruise planning and control problems
  • Provide inspired leadership in introducing this technology, and act as an advocate and educator for the company overall
  • Recruit ML engineers and ensure the team delivers world-class, leading edge ML technology
  • Ensure high-functioning, high-output team delivers high quality engineering architecture and design along with fast, reliable, testable production code
  • Coach and support Individual Contributors enabling effective cross-collaboration between feature and project teams
  • Conduct performance reviews, identify top performers, and support their growth into Engineering Management or Technical Leadership roles
  • Help define, build, and embody Cruise engineering culture and principles
  • Invest heavily in recruiting by working closely with recruiters, engaging candidates, and identifying opportunities for external engagement to improve the Cruise engineering brand
  • Act as a sounding board and technical architect for your teams, help define technical vision and strategy, and ensure the technical direction of your teams aligns with other teams across the company

What you must have:

  • A track record of successfully planning and executing on projects involving application of leading edge ML technologies to real-world problems
  • Demonstrated ability to understand and set the architectural direction large-scale ML/C++ software projects spanning multiple teams and years of active, intensive development, with a focus on projects involving ML and advanced robotics technologies
  • Firmly-established opinions guided by direct prior experience on managing trade-offs between investing in immediate engineering excellence and delivering business value and funding incremental improvements to an existing system vs. “green-field” development.
  • A track record of innovative work, and application of innovative technologies

Bonus points!

  • Understanding of risk-aware planning concepts and algorithms, and general uncertainty management
  • Experience in runtime performance optimization of advanced search algorithms
  • Data science experience, including query of large databases, and data analysis
  • Prior work with numerical/scientific computing, particularly the utilization of GPUs to solve optimization problems

Why Cruise?

  • Our benefits are here to support the whole you:
    • Competitive salary and benefits 
    • 401(k) Cruise matching program 
    • Medical / dental / vision, AD+D and Life
    • One Medical membership
    • Flexible vacation and company paid holidays
    • Healthy meals and snacks provided for non-remote employees
    • Paid parental leave
    • Fertility Benefits 
    • Dependent Care Flexible Spending Account, subsidized by Cruise
    • Flexible Spending Account 
    • Monthly wellness stipend
    • Pre-tax Commuter Benefit Plan for non-remote employees
  • We’re Remote Friendly
    • We believe that your value to the team can be provided at a Cruise office or from the comfort of your home. Depending on your function, enjoy the flexibility of remote work and join our growing community of remote employees in the continental United States.
  • 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, SoftBank, & T. Rowe Price, 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.
  • We’re Independent
    • We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
  • We’re Vested
    • You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow.

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, 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 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.

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.

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