Senior Software Engineer, Simulation Infrastructure Specialist

4 weeks ago


Mountain View, Arkansas, United States Waymo Full time

Waymo is a pioneering autonomous driving technology company dedicated to making transportation safer and more accessible. Our mission is to be the most trusted driver, and we're committed to achieving this goal through innovative technologies and cutting-edge solutions.

The Simulation Infrastructure Team plays a crucial role in this mission by creating reliable, scalable, and cost-effective simulation-based products that evaluate the Waymo Driver's software stack at a massive scale. As a member of this team, you'll have the opportunity to solve complex technical challenges and build services and tools for a broad range of customers, including Software Engineers, Product, Data Science, System Engineering, and more.

Your Key Responsibilities will include:

  • Designing and developing a large-scale simulation and inference infrastructure that meets the needs of our customers and stakeholders.
  • Ensuring the reliability, latency, and cost-effectiveness of our simulations, and identifying opportunities for improvement and optimization.

What We're Looking For in a candidate:

  • A Bachelor's degree in Computer Science or a related field, or equivalent experience.
  • 5+ years of experience with C++ and Golang programming languages.
  • 5+ years of experience building large-scale distributed systems.

Preferred Qualifications include:

  • Experience with distributed systems principles, including scheduling, load balancing, and fault tolerance.
  • Experience working with large FAANG-scale distributed systems.
  • Experience working with large-scale distributed inference services.
  • Experience working with popular ML frameworks, TPUs, and optimizing models for serving.

Waymo employees are eligible to participate in our discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Salary Range: $192,000 - $243,000 USD



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