- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Product
- Posted
- Feb 23, 2026
- Salary
- $115,000–$222,000 a year
Technical Program Manager
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Partner with Simulation teams to define and shape the long-term vision and strategy for Applied's Autonomy Tooling platforms
- Drive the execution of programs that integrate simulation deeply into the ML development loop, establishing a seamless, reliable path for model training, offline evaluation, and validation
- Lead complex, cross-functional programs to platformatize and scale critical simulation workflows for both internal and external customers, accelerating developer velocity
- Own programs spanning multiple organizations, tracking progress and ensuring successful delivery of milestones, metrics, and final deliverables
- Continuously engage customers to surface pain points, translate their workflows into product gaps, and inform future engagements
- Navigate ambiguity and manage critical upstream/downstream dependencies across organizational boundaries, serving as a trusted technical partner to Engineering and Product
Job requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience
- 3+ years steering technical programs within a software engineering or large-scale infrastructure environment
- Background leading projects that touch autonomous system development, simulation techniques and data pipelines
- A history of taking complex technical programs from start to finish, keeping timelines, risks, and dependencies aligned across many stakeholders
- Sharp communication and interpersonal instincts, able to translate complex technical ideas for both research and infrastructure audiences
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