Autonomy Systems Software Engineer

We are looking for an Autonomy Software Systems Engineer who can derive requirements from first-principles for safe driving behavior for a self-driving vehicle. An ideal candidate will have background developing algorithms commonly used in autonomy or robotics applications in aerospace, automotive, or other domains.  This will be used to support our safety claims about safe perception, motion planning, and control for autonomous robots so that we can ethically and safely deploy autonomous trucks to save lives and transform the freight industry.

In this role, you will:

• Collaborate closely with Autonomy Software teams by using first-principles analysis to develop requirements for safe perception, localization, prediction, motion planning, and/or control algorithms.
• Identify edge cases that could help us expose weaknesses in our system prior to encountering them in on-road environments.
• Provide analysis to support complex autonomy system design trade-offs to inform system design decisions affecting safety and performance.
• Support development of simulation scenarios, structured track testing, on-road road testing, and hardware-in-the-loop testing.

What you’ll bring:

• Deep understanding of kinematics, dynamics, and system modeling
• Strong programming skills in Python, MATLAB, C++, or C
• Hands-on work across multiple of the following areas:
  • Sensor fusion and object tracking (e.g., Kalman filtering, particle filters, least squares estimation)
  • Machine learning methods (e.g., neural networks, SVMs, kNN, regression models, decision trees)
  • Classical computer vision (e.g., edge/corner detection, camera calibration, optics)
  • Motion planning (e.g., A*, RRT, potential fields)
  • Control systems (e.g., PID, nonlinear control, model predictive control)
• Strong foundation in probability and statistics, including appropriate application of distributions (e.g., Gaussian, Poisson, binomial)
• Working knowledge of autonomy system architectures and system-level design
• Background in one or more of the following:
  • Bayesian inference (e.g., beta and gamma distributions)
  • Markov models and probabilistic system modeling
  • Simulation development and validation environments
  • System reliability analysis
• Exposure to safety-critical standards such as ISO 26262, DO-178, or IEC 61508 (e.g., ASIL-D, DAL A, SIL 4)
• Experience with safety analysis methodologies (e.g., FTA, FMEA, HARA)
• Understanding of redundancy strategies and fault-tolerant system design
• Familiarity with SOTIF, UL 4600, and safety case development (e.g., Goal Structuring Notation)
• Knowledge of real-time, safety-critical systems
• Experience contributing to verification and validation (V&V) efforts or full testing campaigns

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)