What you'll be doing: - Design and implement shared infrastructure and tooling among the AI Robotics teams.
Identify opportunities to unify approaches and increase developer velocity.
- From a research perspective, exploring, prototyping, validating, and iterating new algorithms.
- On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production.
- Identify opportunities to accelerate the training and evaluation process of behavior changes to the vehicle.
Build training framework, data infra and metrics pipelines to accelerate the training and feedback loop on AI projects.
- Own the quality of the development and ensure the solutions are scalable, secure, and optimized for user experience and performance.
Raise the bar on engineering excellence by producing best in class of code, documentation, testing, and monitoring.
- Own technical projects from start to finish 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 closely with partner teams to ensure they are benefiting from the systems we built.
What you must have: - Bachelors degree in Computer Science and/or equivalent years of experience - Strong experience with C, C++ or Python - 8+ years of experience in machine learning and classification - Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch - Excellent mathematical reasoning skills, especially with probability - Strong understanding of code efficiency/performance and reliability - Outstanding ability to write clean, fast, reliable, and highly scalable software - Experience building, deploying, and operating production-level high-availability full-stack services - Passionate about self-driving technology and its potential impact on the world - BS, MS or PhD in CS, Math, or equivalent real-world experience - Strong organization and communication to work well across teams in a fast-paced environment Bonus points!
- Experience with ROS, OpenCV, Gazebo, or PCL - Even better if you understand: parallel training, active learning, model deployment (e.g., TensorRT conversion) - Experience with build systems (Bazel, Buck, Blaze or Cmake) - Experience working with Docker and Kubernetes Salary and Benefits: The salary range for this position is $201,500 - $280,000.
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: - 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.
Equal Opportunity Employer: 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.
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.
#J-18808-Ljbffr