Senior Software Engineer - Fallback And Mission Planning

General Motors Australia & New Zealand

Australia
Base: 129,400 - 198,400; bonus/equity: incentive p...
C/c++/python development
Autonomous software systems
Motion planning and optimization algorithms
Lead the generation of technical solutions, including the specification of requirements and the functional decomposition, analysis, development, implementation, and verification of new or enhanced functionality within the Active Safety / Autonomous Driving planning software domain

Job Summary

  • Lead the generation of technical solutions, including the specification of requirements and the functional decomposition, analysis, development, implementation, and verification of new or enhanced functionality within the Active Safety / Autonomous Driving planning software domain.
  • Establish verification and validation strategies for the developed software, including simulation, hardware-in-the-loop, and on-road testing validation gates.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

Lead the generation of technical solutions, including the specification of requirements and the functional decomposition, analysis, development, implementation, and verification of new or enhanced functionality within the Active Safety / Autonomous Driving planning software domain.

Salary

Base: 129,400 - 198,400; Bonus/Equity: Incentive pay program based on performance; Benefits: Health and wellbeing programs, retirement savings, tuition assistance, vehicle discounts

Skills & Requirements

Must-have

  • C/C++/Python development
  • autonomous software systems
  • motion planning and optimization algorithms
  • embedded software algorithms
  • verification and validation strategies

Nice-to-have

  • passion to code
  • self-driving technology
  • continuous improvement
  • team culture and principles

Key Requirements

  • 2+ years automotive software engineering
  • BS, MS, or PhD in Computer Science, Robotics, or equivalent
  • Automotive software engineering experience
  • C/C++/Python in production environment
  • Controls, Planning, or Optimization system design expertise

Work Rights

Not specified

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