Senior Software Engineer

Job Description

About Us
The Scaled Engineering Operations (SEO) team applies human intelligence to solve some of the toughest problems facing autonomy technology at General Motors (GM). We work closely with cross-functional teams across Engineering and Product Management to deliver high-quality, scalable data products and test systems that accelerate the development of GM’s Advanced Driver Assistance Systems (ADAS) and autonomy roadmap.

Our products include annotated datasets for machine learning and pareto development, simulated test creation and management, and structured reviews of critical on-road events & simulations to understand the performance of the vehicle on-road and in simulation.

The Role 

We are looking for a Senior Software Engineer to elevate the quality, trust, and operational efficiency of simulated tests, with a specific focus on driving test quality metrics within the Simulation organization at large. 

This role will build out infrastructure components to augment the offshore vendor team by better automating their workflows, adding observability to process steps, and expanding infrastructure to support custom solutions and integrations with GM simulation tooling workflows. 

You will complement an existing development team by bringing systems thinking, technical depth, and quality rigor while driving end-to-end accountability for simulation test efficiency.  

What You'll Do

• Build highly scalable infrastructure and automations to empower large-volume test creation, full-lifecycle health monitoring, and process improvements.

• Influence technical roadmaps and strategic priorities while partnering cross-functionally to identify and resolve efficiency pain points from team members and customers.

• Writing software in a relatively new vertical unconstrained by legacy bloat.

• Leverage AI tools (e.g., code assistants, automated test generation, analytics) to boost productivity, code quality, and innovation in simulation testing. 

• Uphold high code quality and architecture standards through code reviews and technical leadership, including providing mentorship to other engineers on simulation testing and software best practices.

• Mentor peers to uplevel their software engineering skills (primarily Python). Implement best practices for design, testing, and reviews. Provide in-depth design and code reviews. 

What we do NOT do:

• Build simulation frameworks 

• Data science 

• Validation / safety requirements 

• Manual simulation test creation

Your Skills & Abilities (Required Qualifications)

• BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.

• 3+ years of experience developing scalable software solutions using Python in a production environment. 

• Proven experience in building backend infrastructure supporting internal tooling and dashboards. 

• Strong communication and collaboration skills. 

What Will Give You a Competitive Edge

• Experience supporting autonomy, ADAS, robotic, or complex simulation systems

• Experience using or integrating AI-powered development tools (e.g., GitHub Copilot, Cursor) for code generation.  

• Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment, maintaining a high bar for system design clarity and comprehensive technical documentation

• Familiarity with SQL, BigQuery, time-series data analysis, performance monitoring tools, and dashboarding systems (e.g., Looker, Streamlit).

• Knowledge of data orchestration tools (Airflow, DBT), and event-driven system design.

• Familiarity with machine learning data operations, test quality frameworks, or simulation validation workflows

• Comfort asking hard questions, challenging assumptions, and advocating for quality and rigor.