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.

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.

As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for MLI’s tools, frameworks, and services. Responsibilities include ensuring scalable, transparent, and reliable data ingestion and management; development of fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company; and development of orchestration for large-scale post-processing, and computational pipelines.

What you’ll be doing:

• Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud. Champion engineering excellence 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 partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements
• Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns

What you must have:

• 10+ years working with big data
• Experience building scalable infrastructure on the cloud with Python, Java, or Golang (or similar)
• Experience working with relational and NoSQL databases
• Experience with Kafka, Hadoop, Spark, Beam or other data processing tools
• 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 wearing many hats

Bonus Points!

• Demonstrable expertise in a major database product
• Proficiency in writing SQL queries for analytic purposes
• C++ proficiency
• Relevant publications

 

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 Pl