Staff Software Engineer, ML Foundations Platform

April 2

Cruise

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A self-driving service designed for the cities we love. Sign up to take fully driverless rides: getcruise.com

Self-Driving Cars • Autonomous Vehicles • Robotics • Artificial Intelligence (AI) • Deep Learning

1001 - 5000

Description

• 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 engage in team’s planning, code reviews and design discussions • Consider the effects of projects across multiple teams and proactively manage prioritization. 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.

Requirements

• 5+ years of experience building large-scale distributed applications with high-quality API design • Experience with ML development lifecycle and ML Ops • Strong coding in Python or C++ • Experience with distributed training • 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 • Knowledge and experience with machine learning algorithms • Experience building distributed systems on cloud infrastructure • Deep learning frameworks like PyTorch, TensorFlow, etc • Building frameworks with high quality lasting APIs • Understanding of SOTA training optimization algorithms, their performance profiles and their effects on model convergence • Experience scaling model performance optimization work across many teams • Experience with build systems (Bazel, Buck, Blaze or Cmake) • Experience working with Docker and Kubernetes

Benefits

• 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)