- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Hardware
- Posted
- Jul 24, 2026
- Salary
- $150,000–$220,000 a year
Systems Engineer, Vehicle OS
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
- Monitor and manage full system-level and software-level requirements for the overall built system and ensure that the system meets the intended requirements
- Create system requirements and software requirements and define system bounds, capabilities, and functional features
- Convert customer needs into system requirements and devise operational objectives for the system as a whole
- Monitor and manage validation and verification of requirements at the system and software level
- Derive features from customer user journeys and use Cameo to build, maintain and analyze functional and logical architecture
- Ensure traceability of system artifacts across User Journeys, Features, System requirements, Subsystem requirements and test cases
- Work with developers on a daily basis to provide guidance on technical implementation to ensure the actual design is as close as possible to the intended design
- Define processes for ASPICE level 2 compliance
Job requirements
- 2+ years of experience with systems engineering involving system requirements, functional decomposition and allocation, analysis, and verification
- 2+ years of experience involving Model Based Systems Engineering approaches, methods, and techniques
- Extensive experience working with SysML and Cameo in Automotive, defense or aerospace industry
- Experience testing real-world systems with sensors and production-level hardware and compute
- Experience with requirements validation and verification for subsystems as well as integrated system level components
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