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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Artificial Intelligence
Posted
Jan 21, 2025
Salary
$118,000–$235,000 a year
Full-time

Systems Engineer, Perception - Autonomy Trucking

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, monitor and manage full subsystem-level requirements for full perception requirements and evaluate the subsystem to ensure that the it meets intended requirements
  • Support tools development to derive perception requirements from stakeholder needs and safety case to meet program level standards
  • Work with the team to develop and manage scalable V&V pipeline for perception to evaluate performance and support release
  • Coordinate with perception SW team to align on requirements
  • Work with HW teams on designing the perception sensor set and hardware
  • Provide clear goals for all areas of a project and manage tasks to oversee their timely execution

Job requirements

  • 3+ years of experience in a system engineering role responsible for owning system requirements, testing systems for verification, and designing system requirements in the automotive industry
  • Experience in working on perception systems
  • Expertise in different sensor modalities used for autonomous driving
  • Coding expertise developing scripts for overall perception requirements framework and evaluation (python preferred, C++ nice to have)
  • MS/BS degree in Computer Science, Mechanical, Systems Engineering or equivalent
  • Expertise in mechanical, electrical, and software engineering
  • Experience with ADAS, autonomous systems, and robotics (L2++ systems)

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