설명
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
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Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment.
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Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance.
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Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions.
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Conduct complex code reviews, system design reviews, and provide constructive feedback.
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Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure.
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Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack.
Your Skills & Abilities (Required Qualifications)
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Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
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5+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure.
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Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin.
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Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents.
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Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives.
What Will Give You a Competitive Edge (Preferred
Qualifications)
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Master's or Ph.D. in Computer Science or a related quantitative field.
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Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs)).
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Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
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Proficient with Android development with a proven ability to design and deploy high performance applications.
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Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
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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.
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The salary range for this role is ($174,900 - $222,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
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Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
This Job may be eligible for relocation benefits.
#LI-SA2
이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.
선발된 지원자는 이 직무를 위해 25% 미만의 출장을 다녀야 합니다.
이 직무는 리로케이션 혜택을 받을 수 있습니다.
다양성 정보
General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다. 자세한 정보는 GM 채용 과정 안내를 참고하십시오.
공평한 취업 기회 선언 (미국)
General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다. 자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다.
숙소 (미국 및 캐나다)
General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.