Staff Full Stack Software Engineer, Machine Learning Infrastructure

Cruise LLC
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Job Description

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 a talented Full-Stack Engineer, you will design and implement frontend technologies to build and manage one of the largest labeled datasets in the self-driving industry. Your scope will cover the whole lifecycle of machine learning at Cruise: feature processing, model training and deployment to vehicles. You will pay particular attention to performance, ease of use, and reliability of our products and driven by the success of our partner teams who rely on us to build the most advanced AV in the world.

What you’ll be doing:

  • Work with Product Managers and Product Designers to design and implement web-based tools for annotating multidimensional, multimodal time series data and understand machine learning model performance
  • Build automation that surfaces insights on how machine learning engineers can improve model performance
  • Build a platform that is intuitive to use and new features that are easy to learn.
  • Work closely with machine learning engineers to enable R&D efforts and improve existing systems.
  • Drive best practices in our team and code bases: testing, software design/architecture for component reuse, driving changes in the tech stack towards quality and productivity

What you must have:


  • Passion for self-driving technology and its impact
  • Experience and proficiency shipping products end-to-end
  • Technical communication/collaboration skills: delegation, technical writing, driving alignment
  • Demonstrated ability to empathize with customer problems and deliver creative product solutions
  • Experience as a Tech Lead of workstreams in which you led other engineers to ship products end-to-end
  • Experience planning roadmaps, participating in design reviews, and executing large cross-functional projects, often by delegating parts of an engineering plan


  • At least 8+ years of experience building modern frontend applications
  • Experience using React, Redux, Angular, Lit or similar technologies
  • Strong understanding of JavaScript, ES6+, and dynamic frontend fundamentals
  • Experience with REST APIs and websockets
  • Experience with scripting languages such as Python
  • Experience building, deploying, and operating high availability services
  • Experience managing container-based workloads using Kubernetes or other orchestration software
  • Experience with a major cloud provider such as Google Cloud, AWS, or Azure
  • Bachelor degree in Computer Science, or equivalent real-world experience

Bonus Points!

  • Experience building interactive tools that are core to people's daily work
  • Experience building data visualization products and supporting libraries such as three.js, d3, WebGL
  • Experience working with Docker development and deployment workflows
  • Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra)

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 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 time.

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 & 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’re Independent

  • We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.

We’re Vested

  • You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow.
  • Recurring Liquidity Opportunity (RLO) - a unique equity program where employees, both current and former, have the option to sell any amount of their vested equity on a recurring basis, currently quarterly.

Company Info.

Cruise LLC

Cruise LLC is an American self-driving car company headquartered in San Francisco, California. Founded in 2013 by Kyle Vogt and Dan Kan, Cruise tests and develops autonomous car technology. The company is a largely-autonomous subsidiary of General Motors.

  • Industry
    Automotive,Autonomous technology
  • No. of Employees
  • Location
    333 Brannan St, San Francisco, California 94107, USA
  • Website
  • Jobs Posted

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