Applied

Technical Program Manager - Vehicle OS

Sunnyvale. Posted 3 months ago

The role

The Technical Program Manager will architect and manage complex engineering projects. This role involves collaborating with subject matter experts and customers to implement solutions for technical pain points.

What you will do

  • Support the sales team with strategic pre-sales activities to identify customer pain points
  • Lead pursuits from customer RFQ release and create detailed technical proposals
  • Evaluate project timings and adjust resource needs based on customer requirements
  • Execute projects as the single point of contact
  • Track progress and ensure completion of milestones, metrics, and final deliverables
  • Engage customers to understand further pain points and areas for more project engagements
  • Provide regular touch points with internal teams regarding customer use cases and workflows

Required qualifications

  • 3+ years of industry knowledge in leveraging data or simulation for vehicle development
  • Master's degree in Mechanical, Electronics, Computer Science or related fields
  • Familiarity with the various data management and simulation providers available in the market
  • An understanding of the current data and simulation workflows within OEMs and Tier1s
  • Willingness to travel abroad to support project needs (up to 25%)

Nice to have

  • Hands-on experience with data or simulation software used for ADAS / AV or vehicle software validation
  • Knowledge in both software and hardware development testing such as high-performance computing and realtime test systems
  • Experience managing a team of engineers in a leadership role

Benefits

  • Base salary
  • Equity in the form of options and/or restricted stock units
  • Comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.