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Job Description

Embedded Software Engineer role focused on body controls software architecture, integration, validation, and functional safety.

  • Location: Palo Alto, CA (onsite)
  • Pay: USD 55 - 60 per hour
  • Schedule: 40.0 hours/week
  • Experience: 10+ years

Responsibilities

  • Evolve body controls software architecture, creating solutions and defining hardware/software interfaces
  • Lead early-stage hardware and software integration, validating system performance against requirements
  • Convert high-level vehicle objectives into software specifications for body control systems
  • Use field data to refine and optimize body control system performance
  • Partner with validation teams to design test strategies for body control functionality
  • Diagnose and resolve complex hardware/software interactions across the product lifecycle
  • Evaluate design changes and determine impacts across hardware and software components
  • Support functional safety using DFMEA and HARA for body control systems
  • Advise cross-functional teams and guide technical decisions across electrical, software, manufacturing, and mechanical areas
  • Enable cross-domain alignment by clarifying system interdependencies to support seamless vehicle integration

Requirements

  • Technical degree in a relevant field (e.g., Mechatronics, Electrical Engineering, Computer Engineering, Systems Engineering)
  • C/C++ proficiency and scripting familiarity (e.g., Python)
  • Strong problem-solving in complex, networked embedded systems
  • Ability to interpret data to optimize system performance
  • Knowledge of hardware/software development lifecycles
  • Proven experience leading collaborative engineering projects
  • Solid understanding of electrical engineering principles and mechatronic systems
  • Experience with CAN and/or LIN communication protocols and associated tools
  • Knowledge of DFMEA, HARA, and fault tree analysis methodologies
  • State machine diagram creation capability
    • Create and draw a state machine diagram based on a provided scenario
    • They will do a state machine diagram on Glider and then with KCS
  • Ability to visually construct a state machine is required

Technologies

  • C/C++, Python
  • CAN, LIN
  • QNX, Android
  • UART, SPI, I2C
  • ISO 26262, ASIL-D

Applicable Skills

  • 10+ years embedded software and systems engineering experience with C/C++ and Python across automotive and safety-critical platforms
  • Automotive background from General Motors; experience supporting QNX and Android vehicle platforms
  • Hands-on vehicle networking and embedded diagnostics including CAN, LIN, ECU/ECM, UART, SPI, and I2C
  • Functional safety experience including ISO 26262 and ASIL-D
  • Experience translating system requirements into test, validation, and observability approaches, including support for OTA software releases and cross-functional teams
  • Debugging and troubleshooting across hardware/software domains, including root-cause analysis and field-data-driven optimization

Preferred

  • Broad body control experience (doors, trunk, frunk, windows, seating, lighting, mirrors, wipers, heaters, steering wheel controls, and other actuators and sensors)
  • Experience with vehicle software organizations and cross-functional collaboration
  • Experience driving body controls functionality and performance across the product lifecycle
  • Experience with electric vehicle systems and architectures
  • Interest in automotive technology and shaping vehicle experiences

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