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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Sep 11, 2025
Salary
$199,295–$264,500 a year
Full-time

Software Engineer - Performance Optimization

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

  • Analyze runtime performance of the application layer and identify potential resource contentions
  • Optimize compute usage to fit within embedded platform constraints without sacrificing algorithm accuracy or latency
  • Profile and tune performance on embedded targets under real-world operating conditions
  • Collaborate closely with ML runtime optimization engineers to ensure smooth model inference execution within the stack
  • Proactively design for contention avoidance and thread safety through code reviews and software architecture reviews; propose single threaded lock-free approaches where appropriate
  • Deploy and validate production code on QNX, Linux-based embedded, or similar RTOS platforms
  • Contribute to improving system-wide runtime, latency, and performance monitoring tools

Job requirements

  • Bachelors or Masters in Electrical Engineering or Computer Science or a related field
  • 5+ years of experience in software development
  • Strong C++ development skills with a focus on runtime performance
  • Experience profiling CPU, GPU, and memory usage performance on constrained compute
  • Proven ability to debug complex runtime issues and resolve onboard resource contention
Apply on Applied Intuition websiteSave

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