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.

WHAT YOU’LL BE DOING:

• From a research perspective, exploring, prototyping, validating, and iterating new algorithms

• On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production

• Considered one of the technical leaders of the department who guides current and future technology choices

• Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s need

• Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into

• Capable of influencing others and building consensus even over contentious technical debates

WHAT YOU MUST HAVE:

• BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience

• Growing expertise with ML frameworks such as PyTorch and Tensorflow

• Growing expertise with state-of-the-art machine learning and classification

• Strong programming skills in Python, C++, or other relevant languages

• Excellent mathematical reasoning skills, especially with probability

• Passionate about self-driving car technology and its impact on the world!

BONUS POINTS!

• PhD in machine learning or computer science

• 3+ years of experience in Machine Learning

• Experience and growing expertise with ROS, OpenCV, Gazebo, or PCL

• Experience and growing expertise with CUDA

• Track record in deploying perception algorithms into real world environments

• Experience and growing expertise with autonomous driving technologies

The salary range for this position is $193,900 - 285,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.

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
• Subsidized mental health benefits
• Flexible vacation and company paid holidays
• Healthy meals and snacks provided for non-remote employees
• Paid parental, jury duty, bereavement, family care, and medical 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
• CruiseFlex, a working policy for US-Based Cruisers, lets you and your manager find the working style that’s best for you, whether it’s primarily in-person, primarily at home, or a combination of home and in-office time. - learn more about CruiseFlex here

• 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.

• We’