Full-Time

Staff Machine Learning Engineer

Simulation

Posted on 5/10/2024

Cruise

Cruise

1,001-5,000 employees

Develops electric autonomous vehicles

Industrial & Manufacturing
Data & Analytics
Hardware

Expert

San Francisco, CA, USA

Required Skills
Python
Tensorflow
CUDA
Data Structures & Algorithms
Pytorch
Computer Vision
Requirements
  • 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
  • Expertise in setting architectures that are scalable, efficient, fault-tolerant, and easily extensible
  • Ability to design across multiple systems
  • Ability to wear several hats shifting between coding, design, technical strategy, and mentorship
  • Experience with ROS, OpenCV, or Gazebo
  • Expertise with parallel training, active learning, model deployment
  • 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 models
  • Experience with CUDA
Responsibilities
  • Collaborating with specialists to deploy algorithms and ML models into the simulation stack
  • Working on runtime optimization and architecting performant ML and system pipelines
  • Creating and improving data pipelines for training and simulation data
  • Defining metrics and loss functions for evaluating simulation actors' behavior
  • Closing gaps in tooling and data introspection to accelerate engineer velocity

Cruise is developing all-electric and emission-free self-driving vehicles, prioritizing safety and accessibility through testing in urban environments and integrated manufacturing at scale. Their technology approach involves advanced autonomous systems and electric vehicle technology.

Company Stage

Series A

Total Funding

$13.7B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

-20%

1 year growth

-15%

2 year growth

13%

Benefits

Flexible vacation

Paid holidays

Paid parental leave

Fertility & family expansion benefits

401k matching program

Monthly social events

Community volunteering programs

Healthy meals & snacks for onsite employees

Quarterly offsites & working retreats

Monthly wellness stipend

Mental health support

Professional development programs

On-site gym in SF HQ

Commuter benefits for onsite employees

Medical, dental & vision coverage