Descrição
Work Arrangement:
Hybrid: This internship is categorized as a hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.
Location:
Sunnyvale, California
About the Team:
The AV / AI Capacity & Performance Engineering team helps provide the right compute, networking, storage, and AI infrastructure to support AI and ML innovation supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. The team builds capacity models, improves cloud efficiency, supports vendor planning, and develops tooling that makes capacity, demand, utilization, reliability, and cost visible to engineering stakeholders.
Our Capacity Intelligence system is being developed as the team’s operational interface and single point of truth for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related capacity insights. It is being expanded to incorporate new cloud providers and provide advanced modeling capabilities.
Our tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
About the Role:
As an intern, you will help develop and optimize our capacity intelligence system with a focus on integrating new capabilities.
What You’ll Do:
• Develop scalable infrastructure, tools and insights to support Model Training, Simulation, CI Build and Data Generation insights with the capacity intelligence program.
• Code deliverables in tandem with the engineering team.
• Perform specific responsibilities which vary by team.
Required Qualifications:
• Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or Master's degree in computer science or a related technical field.
• Experience in systems software or algorithms.
• Experience with modern object-oriented programming languages (e.g., Java,C++, Python). Experience coding in Python.
• Experience with SQL, BigQuery
• Strong communication skills with experience collaborating across cross-functional teams.
• Able to work full-time, 40 hours per week.
Preferred Qualifications:
• Demonstrated software engineer experience via an internship, work experience, coding competitions.
• Familiarity with AI-assisted engineering tools (e.g., for code generation, model analysis, or experiment planning).
• Demonstrated creativity and quick problem-solving capabilities.
• Research and/or work experience in machine learning infrastructure.
• Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm).
• Experience in scheduling algorithms, orchestration or compute.
• Intent to return to degree-program after internship.
• Graduating between December 2027 and August 2028.
Compensation:
• The monthly salary range for this role is $9,600 - $11,800 per month.
• GM will provide a one-time lump sum taxable stipend payment to eligible
students selected for the 2027 Student Program.
What You’ll Get from Us (Benefits):
• Paid US GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers
Informações sobre diversidade
A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego. Para saber mais, acesse Como contratamos.
Declaração de Igualdade de Oportunidades de Emprego (EUA)
A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais. Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido.
Adaptações (EUA e Canadá)
A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.