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Principal Software Engineer (Post Training)

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Onsite

Principal Software Engineer (Post Training)

Waymo

Principal Software Engineer (Post Training)

Skills

Machine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$349,000 – $431,000 / year

Location:

Mountain View, CA, USA

Work mode:

Onsite

Published on:

4 September 2026

What they need


  • As Principal Software Engineer Post Training, you will play a key role in advancing the technology to power the Waymo Driver and especially help it scale to dramatically more miles and locations across the world
  • Your primary responsibility will be to develop and lead a strategy of a next-generation post-training system on top of existing large-scale models (whose development this role will also influence)
  • Post training is already used in the onboard software system, but we believe that there is a significant opportunity to advance its impact, in line with the advancements within the AI community in other applications
  • Your role would be to figure out how to accomplish that goal in the challenging, highly impactful problem of autonomously driving a vehicle in the real world at large scale
  • This role follows a hybrid work schedule and reports into the Onboard organization
  • Advance the state-of-the-art post-training techniques in the AI running on board the autonomous vehicle
  • Keep up with post-training research and find the right applications for the unique problems at Waymo
  • Participate in the leadership community advancing the ML stack across Waymo in general
  • Partner with teams developing ML platforms to develop them for effective, scalable post-training
  • Partner with teams not yet using post-training effectively to understand their needs and guide them to effective post-training strategies

Benefits

  • Medical, dental, and vision insurance for employees and dependents
  • Employee assistance programs focused on mental health
  • Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
  • Access to mental health apps
  • Onsite wellness centers
  • Second medical opinion for you and your loved ones
  • Support programs including menopause benefit
  • Medical advocacy program for transgender employees
  • Counseling services
  • Competitive compensation
  • Regular bonus and equity performance grant opportunities
  • Generous 401(k) and regional retirement plans
  • 1-on-1 financial coaching
  • Annual cross-company compensation review and pay equity analysis
  • Fertility and growing family assistance
  • Parental leave and baby bonding leave
  • Elder care and support
  • Backup childcare
  • Survivor income benefit
  • Caregiver leave
  • Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
  • Jury duty leave
  • Military leave
  • Hybrid work model with remote work opportunities also available
  • Educational reimbursement
  • Peer learning and coaching platform
  • Donation matching programs
  • Employee resource groups
  • Volunteer hours
  • Internal community groups and local culture clubs
  • Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
  • On-site meals and snacks
  • Fitness centers, massage programs, and ergonomic support
  • On-demand fitness, wellbeing, and cooking classes
  • Commuter benefits- An ability to balance influencing day-to-day leadership on the ground with developing and influencing engineering strategy
  • MS in computer science with an emphasis in machine learning or equivalent degree (PhD preferred)
  • Experience building metrics, data, and flywheels for post-training applications
  • 10+ years of leadership experience in a large-scale machine learned production system
  • Experience leading a post-training system that is used in production with 100M+ users, solving multiple targeted problems in parallel
  • Experience influencing without authority at the director and VP level or higher
  • Experience with utilizing ML in AV and/or other robotics applications
  • Experience building a post-training platform from scratch

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