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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Sep 10, 2026
Salary
$200,000–$300,000 a year
Full-time

Prediction and Planning - Technical Lead

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

  • Lead the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users
  • Drive architecture reviews and leverage established products at Applied Intuition to build scalable software and infrastructure foundations for behavior ML development
  • Mentor and guide engineers while collaborating with cross-functional leadership, perception, planning, and research teams on state-of-the-art models and techniques

Job requirements

  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
  • Proven track record of technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction
  • Proven track record of shipping production ML software in complex, real-world environments
  • Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization.
  • Experience with the end-to-end development cycle of deep learning models
  • 3+ years of experience building production software using modern software practices
  • Fluency in Python with intermediate experience in C++

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