Senior Software Engineer
General Motors
- Location
- United States
- Job Type
- full-time
- Salary
- $185,400 to $205,000
- Posted
- August 13, 2025
Job Description
Description
DUTIES: Develop and design software applications for driverless technology company. Duties may include: Building best-in-class robotics and machine learning tools for accelerating autonomous vehicles development. Design
and implement systems capable of simulating millions of miles of driving every day to predict on-road performance. Carefully measure improvements to our AV development toolchain to understand their impact on AV engineering productivity and our core company metrics. Drive software engineering best practices both within your team and across the company. Mentor, coach, and grow junior engineers. Design and implement systems capable of deploying and coordinating fleets of thousands of autonomous vehicles on the road. May telecommute.
Additional Description
REQUIREMENTS: Bachelor’s degree or foreign equivalent degree in Computer Science, Electrical Engineering, Computer Engineering or a related field, and two years of work experience as a software Engineer or a related occupation. In lieu of Bachelor’s degree or foreign equivalent degree and two years of experience, employer will also accept four years of work experience as a Software Engineer or a related occupation. Experience or background must include: Typescript; Golang; Nodejs; HTML/CSS; Unit / Integration Testing; Algorithms & Data Structures; Databases; Version Control; and Systems design.
Compensation:
- The expected base compensation for this role is $185,400.00 to $205,000.00 Annually.
- Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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.
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
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 Careers.Accommodations@GM.com or call us at 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.
π― Who is this job for?
This role is ideal for a Senior-level software engineer with strong expertise in TypeScript, Golang, Node.js, HTML/CSS, databases, algorithms, and systems design. It suits someone experienced in building large-scale, high-performance systems, ideally in robotics, machine learning, or autonomous vehicle technologies. The candidate should be comfortable mentoring junior engineers, leading best practices, and working on simulation, deployment, and coordination of large autonomous fleets.
π¬ Potential Interview Questions
-
How would you design a simulation system capable of running millions of miles of autonomous driving scenarios daily?
Leverage distributed computing, container orchestration (e.g., Kubernetes), and optimized data pipelines to parallelize workloads and ensure scalability. -
What are some considerations when designing software to deploy and coordinate thousands of autonomous vehicles simultaneously?
Account for real-time communication, failover strategies, load balancing, and fleet health monitoring to ensure safety and reliability. -
Can you explain how you would use Golang for building high-performance backend services in an AV simulation platform?
Use Go’s concurrency model with goroutines and channels, combined with efficient memory management, to handle large volumes of simulation data in real time. -
What is the difference between unit testing and integration testing, and how would you apply them in AV development tools?
Unit tests validate isolated components, while integration tests verify interactions between modules; both ensure that simulation and control systems work reliably together. -
How would you optimize a large-scale autonomous vehicle development toolchain for engineering productivity?
Implement CI/CD pipelines, automate repetitive tasks, measure build/test execution times, and continuously track developer feedback to identify bottlenecks. -
How would you design a database schema for storing simulation data from millions of test miles?
Use a combination of relational databases for structured metadata and time-series or NoSQL databases for high-volume telemetry, ensuring efficient indexing and querying. -
What are some best practices for implementing TypeScript in a large-scale Node.js project?
Use strict type checking, modular architecture, shared type definitions, and linting tools to maintain code quality and scalability. -
How would you approach the problem of predicting real-world AV performance from simulated test data?
Use statistical modeling and machine learning techniques, calibrate simulation models against real-world sensor data, and validate predictions through controlled on-road tests. -
What version control strategies would you recommend for a multi-team AV development project?
Adopt GitFlow or trunk-based development, enforce code review policies, and use feature flags to manage incremental releases safely. -
How would you ensure your systems design can handle both current requirements and future scaling for AV deployment?
Design with modular, loosely coupled services, define clear APIs, and choose cloud-native architectures that can scale horizontally with minimal refactoring.
π Job Summary
General Motors is hiring a Senior Software Engineer to develop cutting-edge applications for autonomous vehicle technology. You’ll work remotely on large-scale robotics, machine learning, and simulation systems capable of modeling millions of miles of driving daily, as well as tools for deploying and managing AV fleets. Tech stack includes TypeScript, Golang, Node.js, HTML/CSS, databases, and modern testing practices, with a strong focus on systems design and engineering best practices. This role offers a competitive base salary of \$185K–\$205K plus bonus potential, and the chance to shape the future of mobility while contributing to GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion.