Model Based Systems Engineer

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Vehicle OS Systems Engineering

This role is for a Systems Engineer with robotics and software expertise to define and manage system requirements for new autonomous systems products. The engineer will be involved in the entire development process, from conceptualization to deployment, ensuring the system meets intended requirements and converting customer needs into technical specifications using Model Based Systems Engineering (MBSE) approaches like SysML and Cameo.

What you'd actually do

  1. Monitor and manage full system-level requirements for the overall built system and ensure that the system meets the intended requirements
  2. Create system requirements and subsystem requirements and define system bounds, capabilities, and functional features
  3. Convert customer needs into system requirements and devise operational objectives for the system as a whole
  4. Monitor and manage validation and verification of requirements at the system and subsystem level
  5. Derive features from customer user journeys and use Cameo to build, maintain and analyze functional and logical architecture

Skills

Required

  • 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

Nice to have

  • Previous experience in a customer facing role
  • Experience in both initial requirements and final system validation
  • Experience in mechanical, electrical, and software engineering
  • Strong project management skills to make sure that the project deliverables are on track

What the JD emphasized

  • strong robotics and software expertise
  • Model Based Systems Engineering approaches, methods, and techniques
  • SysML and Cameo
  • testing real-world systems with sensors and production-level hardware and compute
  • requirements validation and verification