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Staff Software Engineer, Vehicle AI

  • Ubicación
    • Mountain View, California
  • Tipo de trabajo Full time
  • Publicado
  • Job Requisition JR-202610583

Descripción

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

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

El candidato seleccionado deberá viajar menos del 25 % del tiempo para este puesto.

Este puesto podría ser elegible para beneficios de relocalización.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.

 

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