Engineering Manager, Machine Learning (Perception)

Key Skills

C++, Computer Vision (CV), Design, Machine learning techniques, Python Programming

Job Description

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.

Our Perception engineering group at Cruise develops deep learning based approaches for 3D object detection, tracking, semantic segmentation, classification and understanding all the objects around a vehicle. Enabling our vehicles to understand the world is critical to our mission and ability to deploy at scale. Our fleet of vehicles provides robust data sets that you can leverage to prototype radically new models and push novel solutions into production.

The Engineering Manager will lead the growth and organization of the team, mentor engineers and support career development, work with other Engineering Managers and Technical Leads on design decisions and code review, and communicate team status and objectives with senior management across Cruise.

WHAT YOU'LL BE DOING:

• Lead and grow a team of engineers within the Cruise AI self-driving organization
• Ensure your high-functioning and output team delivers quality engineering architecture and design along with fast, reliable, testable production code
• Work with teams across Cruise to foster a collaborative culture of testing, safety, and documentation
• Serve as an embodiment of our values
• Invest heavily in recruiting, identifying opportunities for external engagement to improve the Cruise engineering brand
• Help define, build, and embody Cruise engineering culture and principles
• Embody Cruise behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble 

WHAT YOU MUST HAVE:

• Prior experience managing, leading, and growing teams
• Experience developing deep learning and novel computer vision solutions
• Proven track record of shipping production-quality software for mission-critical or complex software products
• Previous (4+ years) experience as a software engineer delivering results within large-scale, Machine Learning environments
• Experience managing a team and initiatives in a mission-critical and fast-paced Machine Learning engineering organization
• Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization

BONUS POINTS!

• Msc or Phd in Computer Vision, machine learning or a related field.
• Experience writing Python and/or C++ in a production environment
• Worked on high-speed feedback loops
• Experience in code optimization or high-performance computing
• Strategic, collaborative and execution-focused 

The salary range for this position is $168,200 - 247,200. 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
• Subsidized mental health benefits
• Flexible vacation and company paid holidays
• Healthy meals and snacks available for non-remote employees