Technical Trainer
Minnesota Jobs, Saint Paul, MN, United States
Technical Lead - Autonomous Driving Evaluation Infrastructure
As a Technical Lead of the Galileo team, you will be a senior individual contributor building and optimizing the infrastructure and required technology for all testing and evaluation workflows for both vehicle release and autonomous driving stack validation and verification. This includes building and optimizing data processing pipelines for large‑scale analysis. Your role will include defining and shaping the technical vision and strategy to ensure alignment with broader company objectives, designing and implementing systems to support AV / ADAS development. You will drive software engineering best practices within the team and develop tools that promote these standards company‑wide.
About the Organization The GM AV Simulation team builds world‑class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build insights for various evaluation needs, to the release team tracking top‑line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. Galileo is building the core infra and architecture to support testing at scale.
What You’ll Do
Act as technical architect, help define technical vision and strategy, and ensure that the technical direction of your team aligns with broader company objectives.
Design and implement systems capable of supporting simulating millions of miles of driving every day to predict on‑road performance.
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Drive software engineering best practices within your team and develop tools that promote these standards company‑wide.
Develop and oversee top‑tier software engineers within a dynamic, fast‑paced, and inclusive setting.
Help define, build, and embody GM engineering culture and principles.
Your Skills & Abilities
BS, MS, or PhD in Computer Science, Robotics, or equivalent experience.
A demonstrated track record of building high‑quality software and a focus on the customer through operational excellence.
Broad exposure to the end‑to‑end product engineering stack, from frontend to infrastructure.
Experience with SOA or microservice‑based architectures, large‑scale distributed systems, and common cloud platforms like AWS/GCP.
Strong organizational and communication skills.
Self‑motivation and passion to lead, mentor, encourage best practices, and constantly improve.
Familiarity with Python, Go, Node, React or other web development frameworks/languages.
PostgreSQL (or similar relational database) and data warehouse technologies like BigQuery or Amazon Redshift.
Passion for self‑driving technology and its potential impact on the world.
What Will Give You a Competitive Edge
A background in robotics, ROS, or the AV/ADAS industry.
Scientific analysis experience.
Experience with data pipelines/workflows supporting data scientists.
Experience building high‑quality dev productivity tools.
Experience writing modern production C++ applications.
Experience developing high‑quality software under significant latency and performance constraints.
Experience developing or working with safety‑critical code.
Remote This role is based remotely but if you live within a 50‑mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum.
Relocation This job may be eligible for relocation benefits.
Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Legal Compliance General Motors is a committed workplace that is free of unlawful discrimination and fosters inclusion and belonging. 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, veteran status, 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, please email Careers.Accommodations@GM.com and 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.
#GM-AV-1
#J-18808-Ljbffr
As a Technical Lead of the Galileo team, you will be a senior individual contributor building and optimizing the infrastructure and required technology for all testing and evaluation workflows for both vehicle release and autonomous driving stack validation and verification. This includes building and optimizing data processing pipelines for large‑scale analysis. Your role will include defining and shaping the technical vision and strategy to ensure alignment with broader company objectives, designing and implementing systems to support AV / ADAS development. You will drive software engineering best practices within the team and develop tools that promote these standards company‑wide.
About the Organization The GM AV Simulation team builds world‑class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build insights for various evaluation needs, to the release team tracking top‑line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. Galileo is building the core infra and architecture to support testing at scale.
What You’ll Do
Act as technical architect, help define technical vision and strategy, and ensure that the technical direction of your team aligns with broader company objectives.
Design and implement systems capable of supporting simulating millions of miles of driving every day to predict on‑road performance.
Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
Drive software engineering best practices within your team and develop tools that promote these standards company‑wide.
Develop and oversee top‑tier software engineers within a dynamic, fast‑paced, and inclusive setting.
Help define, build, and embody GM engineering culture and principles.
Your Skills & Abilities
BS, MS, or PhD in Computer Science, Robotics, or equivalent experience.
A demonstrated track record of building high‑quality software and a focus on the customer through operational excellence.
Broad exposure to the end‑to‑end product engineering stack, from frontend to infrastructure.
Experience with SOA or microservice‑based architectures, large‑scale distributed systems, and common cloud platforms like AWS/GCP.
Strong organizational and communication skills.
Self‑motivation and passion to lead, mentor, encourage best practices, and constantly improve.
Familiarity with Python, Go, Node, React or other web development frameworks/languages.
PostgreSQL (or similar relational database) and data warehouse technologies like BigQuery or Amazon Redshift.
Passion for self‑driving technology and its potential impact on the world.
What Will Give You a Competitive Edge
A background in robotics, ROS, or the AV/ADAS industry.
Scientific analysis experience.
Experience with data pipelines/workflows supporting data scientists.
Experience building high‑quality dev productivity tools.
Experience writing modern production C++ applications.
Experience developing high‑quality software under significant latency and performance constraints.
Experience developing or working with safety‑critical code.
Remote This role is based remotely but if you live within a 50‑mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum.
Relocation This job may be eligible for relocation benefits.
Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Legal Compliance General Motors is a committed workplace that is free of unlawful discrimination and fosters inclusion and belonging. 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, veteran status, 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, please email Careers.Accommodations@GM.com and 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.
#GM-AV-1
#J-18808-Ljbffr