Description
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to
Mountain View, CA three times per week at minimum or other frequency dictated by the business.
The Role
GM is looking to hire highly skilled and experienced Staff Software Engineers to join our team focused on developing cutting-edge AI agents. This role involves leading the design, development, and deployment of robust, scalable, and intelligent software agents that drive innovation across our products and services. The ideal candidate will have a deep understanding of AI/ML principles, distributed systems, and a track record of technical leadership.
What You'll Do
- Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment.
- Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance.
- Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices.
- Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions.
- Conduct complex code reviews, system design reviews, and provide constructive feedback.
- Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure.
- Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack.
Your Skills & Abilities (Required Qualifications)
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
- 8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure.
- Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin.
- Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents.
- Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives.
What Will Give You a Competitive Edge (Preferred
Qualifications)
- Master's or Ph.D. in Computer Science or a related quantitative field.
- Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs)).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Proficient with Android development with a proven ability to design and deploy high performance applications.
- Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
- A strong portfolio of contributions to open-source projects or relevant publications.
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
- The salary range for this role is ($189,300 - $290,000). The actual base salary a successful candidate will be offered within this 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.
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. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.
#LI-SA2
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}.
The selected candidate will be required to travel < 25% for this role.
This job may be eligible for relocation benefits.
About GMOur 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 UsWe 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.
Total Rewards | Benefits OverviewFrom 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.
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. To learn more, visit How we Hire.
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