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.
This role drives the various robotics aspects of the Simulation Smart Agents software stack. The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL). The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.
The specific duties may include streamlining optimization, integration, creating ML infrastructure and tools, pipeline development, introspection, productionalization, and designing for fast experimentation cycles.
What you’ll be doing:
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Collaborating with various specialists to get algorithms and ML models deployed and integrated into the simulation stack, with an eye on optimization and simplification of these procedures.
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Working on runtime optimization and architecting highly performant ML and system pipelines.
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Create and improve data pipelines for turning real world observations into training and simulation data.
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Help define metrics and loss functions to evaluate correctness and realism of simulation actors behavior.
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Spotting and collaboratively closing gaps in tooling and data introspection to accelerate engineer velocity within Simulation.
What you must have:
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8+ years of experience in the field of robotics or latency-sensitive backend services
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Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch
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Experience architecting highly performant ML and system pipelines
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Strong understanding and experience with runtime optimization
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Strong programming skills in modern C++ or Python
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Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
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Passionate about self-driving car technology and its impact on the world
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Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
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Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
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Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.
Bonus points!
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Experience with ROS, OpenCV, or Gazebo
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Expertise with parallel training, active learning, model deployment (e.g., TensorRT conversion)
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Experience with build systems (Bazel, Buck, Blaze or Cmake)
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Track record in deploying perception/prediction/av models into real world environments
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Expertise working with various sensor technologies, including Lidar, Radar, and Camera
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Experience working with RL and sequence prediction (ML) models
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Experience with CUDA
- Competitive salary and benefits
- Medical / dental / vision, Life and AD&D
- Subsidized mental health benefits
- Paid time off and holidays
- Paid parental, medical, family care, and military leave of absence
- 401(k) Cruise matching program
- Fertility benefits
- Dependent Care Flexible Spending Account
- Flexible Spending Account & Health Saving Account
- Perks Wallet program for benefits/perks
- Pre-tax Commuter benefit plan for local employees
- CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).
- Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
- GM, Honda, Microsoft, T. Rowe Price, and 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.
What We Do
Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about.
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale, building all-electric, zero-emission, self-driving vehicles that will help save lives, reimagine cities, reduce carbon pollution, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings.
Together, we believe our world-class partners, deep resources, and technology approach of testing in a complex urban environment will help to deliver self-driving vehicles at scale.
Why Work With Us
Your work on all-electric, self-driving vehicles will save lives, help the planet, and make cities better. It’s something to be proud of...and it’s career-defining work.
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