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.

 

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 fields. 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.

At Cruise, the Machine Learning Infrastructure organization (MLI) builds the essential tools, frameworks, and services used by every engineer at Cruise. MLI’s goal is to greatly accelerate the development cycle of AV engineers by building the infrastructure to process, analyze, and learn from the many petabytes of data coming from our AVs, simulated tests, and real time services, empowering engineers to focus on improving the car’s safety and performance.

Compute service’s vision is to be the de facto cloud-agnostic, reliable, and cost-efficient compute backend for the specific needs of Cruise AI. The service enables high agility for building new features, supporting innovation, and optimizing for prioritized use cases that are relevant to Cruise AI today, and in the future.

 

We are seeking an experienced Staff Software Engineer to lead key initiatives within our team, focus on providing good customer experience, and help us run Cruise AI workloads reliably/efficiently at scale. The successful candidate will have experience building and running scalable distributed systems, and will bring innovative ideas and approaches, and should have intellectual curiosity, and strong problem-solving skills. 

What you’ll be doing:

• Use the latest cloud technologies to own, design, implement and test scalable distributed compute and data processing in the cloud
• Build high-performance scheduling/deployment solutions for ML workloads, efficiently handling both long and short-running jobs
• Champion engineering excellence and focus on observability of our infrastructure by continuously improving systems and processes
• Own technical projects from start to finish, contribute to the team’s product roadmap and be responsible for major technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews, and design discussions
• Consider the effects of projects across multiple teams and proactively manage conflicts. Work together with peers, partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements. Provide technology leadership beyond your immediate team
• Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns
• Help up-level and coach a team of talented distributed systems engineers 

What you must have:

• 7+ years of industry experience
• 4+ years of experience in distributed systems and large-scale compute infrastructure
• Experience working with relational and NoSQL databases
• BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
• Passionate about self-driving technology and its potential impact on the world
• Attention to detail and a passion for truth
• A track record of efficiently solving complex problems
• Startup mentality - openness to dealing with unknown unknowns and