Senior MLAI Software Engineer – Evaluation Insights

Job Description

The Role:

GMs autonomy stack generates far more numerical data than anyone can review manually. The Evaluation Insights team builds tools that turn this data into a single trustworthy view of performanceaccelerating model iteration and improving vehicle safety.

As a Senior ML/AI Software Engineer on the Sim Insights team you will help stakeholdersfrom AV developers and system engineers to leadershipreach accurate actionable conclusions about the autonomy stacks performance. You will apply your expertise in robotic systems statistical analysis and data visualization to engineer tools that answer a wide range of questions about AV stack performance.

About the Organization:

The Evaluation team is dedicated to creating maintaining and evolving the evaluation ecosystem that underpins GMs pursuit of safe high-performing and scalable driverless technology. The team delivers trusted metrics automated workflows and scalable tools that enable data-driven decision-making at every stage of AV development. Evaluation team members collaborate closely with Simulation Motion Perception and Release teams acting as system-level integrators and arbiters of end-to-end AV system quality. The organizations remit includes development of test scenario libraries deployment of continuous evaluation pipelines and ownership of critical risk assessment and release gating processes. The team treats road data mining training and metrics as equal use cases for our analytics framework and evaluation goals. By joining this team you will guide the evolution of core evaluation platforms and frameworks champion the interpretation and communication of system-level results and play a central role in accelerating GMs progress toward safe validated AV deployment at scale.

What Youll Do

• Design and implement analysis algorithms that summarize aggregate and cluster metrics produced by simulations of the autonomy stack
• Build and maintain GMs 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 mine 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.
• Bachelors 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 robotic systems including sensor data (camera lidar radar) and time-series analysis.
• A strong curiosity to question anomalous data and root-cause discrepancies

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

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.

Benefits Overview

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