ML / AI Software Engineer - C++ Metrics Frameworks

General Motors; San Francisco; Hybrid; VES 114,667,000 - 176,356,000; Full time

Job summary

General Motors Company in the Mountain View area seeks an AI/ML Engineer to help build and optimize infrastructure for autonomous vehicle development, testing, and deployment. You will create analytics frameworks and tools to enable quantitative pipelines and metrics that guide feature design and evaluation.

You will collaborate with Simulation Evaluation, Embodied AI, and Data Infra teams, writing Python and C++ in production, and contributing to scalable libraries, dashboards, and automation

Qualifications

• Experience developing scalable software used by many developers.
• Experience writing Python and C++ in a production environment (unit testing, code review, performance considerations).
• Experience developing automation scripts (Python and Bash).
• BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering.
• 5+ years of industry experience.
• Strong organizational and communication skills.

Responsibilities

• Create tooling that can receive signals from various sources and allow users to easily build quantitative analysis pipelines to extract usable insights.
• Accelerate team’s effectiveness by designing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.
• Design and implement extensible and well-tested shared libraries used by many engineers across the organization.
• Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity.
• Work closely with autonomous vehicle engineering to enable rapid development and model feedback.
• Maintain a high technical standard for code quality through architectural design and code reviews.

Skills

Python

C++

Python scripting

Bash scripting

Communication skills

Education

BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering

Tools

ROS

Pandas

Python bindings for C++

Plotting/visualization libraries

Big Query

DuckDB

Job description

Job Description

As an AI/ML Engineer on the Metrics Frameworks team, part of the Simulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized analytics frameworks and tools. We are seeking experienced software engineers to build analytical frameworks and tools that empower internal users to construct quantitative analysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our analytics framework equally supports road event monitoring, data mining and training, and simulation metrics.

About the Organization

The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results.

#GM-AV-1

What You’ll Do

• Create tooling that can receive signals from various sources (Simulation, Road, etc) and allow users to easily build quantitative analysis pipelines to extract usable insights.
• Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.
• Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization.
• Collaborate with other frameworks and data infra teams to build and deploy tools to improve productivity.
• Work closely with autonomous vehicle engineering to enable rapid development and model feedback.
• Maintain a high technical standard for code quality on the team, through architectural design and code reviews.

Your Skills & Abilities

• Experience developing scalable software solutions that will be used by many developers
• Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)
• Experience developing automation scripts (Python and Bash scripts)
• BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering
• 5+ years of industry experience
• Strong organizational and communication skills

What Will Give You A Competitive Edge

• Experience with SQL and related tools/tech (Big Query, DuckDB, etc)
• Experience with time-series data analysis and online performance monitoring tools
• Experience building high performance framework / infrastructure and performance optimization in C++/Python
• Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries
• Familiarity with Data orchestration and transformation tools like AirTable, AirFlow, DBT, etc

Compensation

The salary range for this role is ($129,000 and $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Hybrid

This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View, San Francisco, Warren or Milford Technical Center three times per week, at minimum.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

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

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.