Staff Software Engineer, Vehicle AI

GM

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Job Description

Work Arrangement:
This role is categorized as hybrid/Remote. 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 or Remote Washington location.

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 Youll 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)

  • Bachelors 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)

  • Masters 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 ($189300 - $290000). 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.

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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 were looking out for your well-beingat work and at homeso 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.

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 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.


Required Experience:

Staff IC

Job DescriptionWork Arrangement: This role is categorized as hybrid/Remote. 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 or Remote Washington location.The RoleGM is looking to hire highly ski...
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Key Skills

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  • Automobile

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