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Staff Software Engineer
Machine Learning Platform
Confirmed live in the last 24 hours
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
CUDA
Data Structures & Algorithms
C/C++/C#
Pytorch
Tensorflow
Python
Requirements
  • Strong coding in Python or C++
  • Experience with distributed training (PyTorch, Tensorflow, etc)
  • Experience with optimizing model training performance
  • Experience to scale model training to large number of GPUs/CPUs or other accelerators
  • Passionate about self-driving technology and its potential impact on the world
  • BS, MS or PhD in CS, Math or equivalent real-world experience
  • Can do attitude and willingness to code
Responsibilities
  • Design, implement and deploy platforms and tools to support machine learning models training/evaluation workflows at Cruise
  • 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
  • Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns
Desired Qualifications
  • Experience building distributed systems on cloud infrastructure
  • Understanding of SOTA training optimization algorithms, their performance profiles and their effects on model convergence
  • Knowledge and experience with machine learning algorithms
  • Experience scaling model performance optimization which work across many teams
  • Experience with build systems (Bazel, Buck, Blaze or Cmake)
  • Experience with CUDA
Cruise

1,001-5,000 employees

Self-driving car service
Company Overview
Cruise's is building self-driving vehicles to improve life in our cities. The company makes autonomous, sustainable, self-driving EVs.
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
Company Core Values
  • Stay safe
  • Stay focused
  • Own it
  • Seek truth
  • Work together
  • Be humble