Architect and implement metrics and analyses to introspect autonomous driving software performance at subsystem interfaces across the autonomy stack; work closely with autonomy developers and system engineers.
Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.
Develop and apply methods to introspect the operation of ML components in the autonomy stack.
Create informative, interactive results and dashboards that provide rapid insight for development and verification, and are routinely used by partner teams.

Requirements

5+ years applied experience with robotics or autonomous systems software, from sensors and perception through planning and control of the vehicle.
3+ years evaluating dynamic systems using numerical and ML approaches, including time series data, state derivatives, dynamics, and interconnected subsystems.
Proficiency developing Python in production team environments.
Comfort working with C++ codebases, including reading and instrumenting core algorithms.
Demonstrated technical leadership, including driving decisions and influencing architecture.
PhD, Master’s, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.

Benefits

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++machine learningstatistical methodsnumerical methodstime series analysisdynamic systems evaluationautonomous systems softwareroboticsperformance metrics

Soft Skills

technical leadershipdecision makinginfluencing architecturecollaborationcommunication