Staff Machine Learning Engineer, Simulation

We're Cruise, a self-driving service designed for the cities we love.

Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.

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

• 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.
• Working on runtime optimization and architecting highly performant ML and system pipelines.
• Create and improve data pipelines for turning real world observations into training and simulation data.
• Help define metrics and loss functions to evaluate correctness and realism of simulation actors behavior.
• Spotting and collaboratively closing gaps in tooling and data introspection to accelerate engineer velocity within Simulation.

What You Must Have

• 8+ years of experience in the field of robotics or latency-sensitive backend services
• Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch
• Experience architecting highly performant ML and system pipelines
• Strong understanding and experience with runtime optimization
• Strong programming skills in modern C++ or Python
• Experience with profiling CPU and / or GPU software, process scheduling, and prioritization
• Passionate about self-driving car technology and its impact on the world
• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
• 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.
• 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!

• Experience with ROS, OpenCV, or Gazebo
• Expertise with parallel training, active learning, model deployment (e.g., TensorRT conversion)
• Experience with build systems (Bazel, Buck, Blaze or Cmake)
• Track record in deploying perception / prediction / av models into real world environments
• Expertise working with various sensor technologies, including Lidar, Radar, and Camera
• Experience working with RL and sequence prediction (ML) models
• Experience with CUDA

The salary range for this position is $183,600 - $270,000. Compensation will vary depending on location, job-related knowledge, skills, and experience.

You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

Why Cruise?Our Benefits Are Here To Support The Whole You

• 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.

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, 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.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives.

We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability.

Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.

Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].

We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions.

Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way.

Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.

Candidates applying for roles that operate and remotely operate the AV : Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record.

A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.

Note to Recruitment Agencies : Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.

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