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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Oct 6, 2026
Salary
$185,000–$250,000 a year
Full-time

Senior Software Engineer - Neural Simulation

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

  • Design and build scalable closed loop simulation systems using Neural Reconstruction
  • Architect systems that process and manage large-scale data
  • Develop infrastructure for ML workflows, including: Training pipelines
  • Evaluation and validation systems
  • Model inference pipelines
  • Design and optimize storage solutions for structured, unstructured, and multimodal data (e.g., sensor, 3D, logs)
  • Improve system reliability, observability, and performance across distributed services
  • Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions

Job requirements

  • 5+ years of experience shipping complex, large-scale software
  • A minimum of a Bachelor's degree in computer science, computer engineering, or equivalent practical experience
  • A proven track record of designing, building, and operating scalable distributed systems, data pipelines, and data storage solutions (such as SQL, NoSQL, vector databases, or data lakes)
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes)
  • Experience with backend development in languages such as Python and Go
  • Strong system design and problem-solving skills

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