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.

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 technologies to own, design, implement and test methods to tackle data loading within training. 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
• Strong coding with Python
• Experience with distributed data processing 
• Experienced with metrics computation, metrics framework, ML metrics, analytics framework and data analysis
• 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!

• C++ proficiency
• Experience with profiling, benchmarking, and performance optimization
• Experience with open source software, e.g. PyTorch, Ray,
• Experience with GCP, Azure, or AWS

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:
• Medical / dental / vision, AD+D and life insurance
• Subsidized mental health benefits
• One Medical membership
• Flexible Spending Account 
• Monthly wellness stipend
• 401(k) match 
• Paid time off: vacation, sick, public health emergency, jury duty, bereavement and company holidays. 
• Paid parental, family care and medical leave
• Family care benefits: fertility benefits, Dependent Care Flexible Spending Account (subsidized by Cruise).
• Non-remote employees: Pre-tax Commuter Benefit Plan, healthy meals and snacks 
• CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office