Software Engineer, Autonomous Vehicles Software...

General Motors
Warren, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Warren, United States of America

Tech stack

Artificial Intelligence
Data analysis
Systems Engineering
C++
Data Visualization
Iterative and Incremental Development
Systems Analysis
Python
Software Engineering
Verification and Validation (Software)
SQL Databases
Jupyter Notebook
Information Technology
Production Code
Data Analytics
Build Tools
Looker Analytics

Job description

Role: As a Software Engineer on the Software Validation team within the AV organization, you will play a critical role in the development of methods, tools and processes for the validation of autonomous vehicle behavior. You will leverage your experience in software engineering to convert validation strategies into well-architected and implemented code that analyzes AV behavior. Creating methods an tools to execute comprehensive, repeatable and precise validation for autonomy software and hardware. You will work with a team of engineers to define best practices, raise the bar internally on coding quality, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

About the Organization: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Behavior Validation team focuses on unlocking software launches and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.

What You'll Do:

  • Develop and prototype strategies to benchmark autonomy systems' performance.

  • Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles

  • Utilize performance data gathered from in-simulation, on-bench, on-road testing, to create actionable insights for AI developers to continuously improve the stack performance

  • Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions

  • Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI

  • Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization

Requirements

  • Recently completed or completing Master's degree in Spring 2026 in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields

  • Experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields

  • Strong skills in utilizing AI to accelerate SW development

  • Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products

  • Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions

  • Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons

  • Excellent communication skills, capable of switching between high-level and detailed discussions

What Will Give You A Competitive Edge

  • Proven track record of successful software engineering on a safety-critical projects, especially as it related to verification and validation tools

  • Experience with robotics, autonomous vehicles, vehicle development, or ADAS development

  • Experience working with robotics simulation environments

  • Experience analyzing automotive collision data

  • Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks

About the company

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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