Software teams
Cruise software engineers develop the field of self-driving technology. Our teams work on solutions to problems that have never been solved before.
For those of you writing the code that runs on the vehicle itself, you'll be challenged to develop state-of-the-art algorithms or write highly optimized code that can run at low latencies so our vehicles can react faster than humans.
For those of you who are interested in infrastructure and developer tools, we support many petabytes of storage and build tools to accelerate the autonomous vehicle development process.
Our work
The Embedded Systems team is the group that writes the first layer of software on the device. We are essentially the central nervous system of the AV stack, which mediates bet…
The Infrastructure team builds and operates the mission-critical, cloud-native infrastructure underpinning Cruise's autonomous vehicles and the engineering teams behind them.…
Ground Truth generates rich, semantic datasets from the raw test drives on our vehicle. This knowledge is used to create machine learning algorithms on our autonomous vehicles…
The Frameworks team builds performance-critical frameworks, reusable libraries, and components in modern C++ that are foundational to the entire engineering organization at Cr…
Mapping provides navigational knowledge and detailed urban maps to allow our self-driving vehicles to reason and maneuver safely while driving autonomously. We build complex w…
Perception is the overarching team that takes raw sensor input and uses it to determine what is happening around the vehicle. We deal with a variety of sensors, including LiDA…
The Planning & Controls team handles decision-making in urban environments, including collision avoidance, intelligent routing, unprotected turns, four-way-stops, lane changes…
The Remote Assistance team is like Mission Control for a space launch. We build the tools that allow remote operators to help Cruise self-driving vehicles when they need assis…
The Simulation team is responsible for building the tools we need to test and validate the performance and behavior of our autonomous vehicles. This includes tools that valida…
Our experience
Our team is composed of engineers with a wide range of skills and experiences. Over 50% of our Engineering department has a Master’s or PhD.
— Salesforce
— Apple
— PlayStation
— Microsoft
— Postmates
— Amazon
— Nvidia
— Airbnb
— SpaceX
Software roles
Engineering Manager, AV Foundation, Autonomous Vehicle Systems
Engineering - Autonomous Vehicle Software
San Francisco, CA
Engineering Manager, Embedded Systems Test
Engineering - Autonomous Vehicle Software
San Francisco, CA
Engineering Manager, Ephemeral Compute Platform (Open to Remote)
Engineering - Infrastructure
San Francisco, CA
Engineering Manager, Identity and Access Management
Engineering - IT
San Francisco, CA
Engineering Manager II, Consumer (Remote Eligible)
Engineering - Product
San Francisco, CA
Engineering Manager II, Container Platform Services **REMOTE ELIGIBLE**
Engineering - Infrastructure
San Francisco, CA
Engineering Manager II, Maps
Engineering - Product
San Francisco, CA
Engineering Manager II, Site Reliability
Engineering - Infrastructure
San Francisco, CA
Engineering Manager, Machine Learning Infrastructure
Engineering - Autonomous Vehicle Software
San Francisco, CA
Engineering Manager, Machine Learning (Perception)
Engineering - Autonomous Vehicle Software
San Francisco, CA
Engineering Manager - Machine Learning - Prediction
Engineering - Autonomous Vehicle Software
San Francisco, CA
Engineering Manager, Maps
Engineering - Product
San Francisco, CA
Engineering Manager, Product Engineering
Engineering - Product
San Francisco, CA
Engineering Manager, Robotics, Autonomy Performance, Systems Engineering
Engineering - Autonomous Vehicle Software
San Francisco, CA
Information Systems Infrastructure Engineer
Engineering - IT
San Francisco, CA
Lead Business Operations, Infrastructure
Program Management
San Francisco, CA
Lead Site Reliability Engineer, Platform Security
Engineering - Infrastructure
San Francisco, CA
Manager II, Data Science
Engineering - Autonomous Vehicle Software
San Francisco, CA
Manager, Product Manager Technical, Autonomy Performance
Product Management
San Francisco, CA
Manager, Technical Product Management, AV Acceleration
Product Management
San Francisco, CA