The Senior ML/AI Software Engineer will build analysis algorithms and maintain evaluation dashboards for GM's autonomy stack performance leveraging large datasets and statistical methods.

Description
The Role:
General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500000 Super Cruise-equipped vehicles on the road and over 700 million hands-free miles driven GM is proving that automation can be trusted intuitive and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization:
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM's autonomous driving technology. We develop metrics automated workflows and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy Simulation Systems and Safety teams we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries continuous evaluation pipelines and critical risk assessment and release gating components treating road testing data mining training and metrics as first-class use cases in a unified analytics framework. By joining this team you will help shape GM's core evaluation platforms turn system-level results into clear feedback and help accelerate validated AV deployment at scale.
What You'll Do

• Design and implement analysis algorithms that summarize aggregate and cluster metrics produced by simulations of the autonomy stack

• Build and maintain GM's primary autonomy evaluation dashboards and reports that provide clear explainable insights to engineering and leadership including trend analysis drift detection and scenario coverage.

• Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance critical scenarios and prioritize validation efforts integrating human-in-the-loop where appropriate.

• Maintain a high technical standard through architectural design code reviews and by following software-engineering best practices.

• Interface with cross-org partners to articulate requirements resolve handoff issues and share best practices.

Your Skills & Abilities (Required Qualifications)

• 3+ years applied experience in data analysis ML evaluation or autonomy analytics working with large-scale datasets and statistical methods.

• Proficiency with Pandas NumPy SciPy and plotting/visualization libraries.

• Bachelor's or higher degree in Computer Science Data Science Mechanical or Aerospace Engineering or equivalent practical experience.

What Will Give You a Competitive Edge (Preferred Qualifications)

• A strong understanding of how to visualize quantitative information effectively and transparently. The ability to decompose a multi-dimensional space into something consumable.

• Experience evaluating robotics systems or autonomous vehicles including sensor data (camera lidar radar) and time-series analysis.

• A strong curiosity to question anomalous data and root-cause discrepancies

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