2027 Intern - AI/ML Engineer - Capacity & Performance Engineering, Autonomous Vehicles

Description

The AV and AI Capacity and Performance Engineering team supplies compute, networking, storage and AI infrastructure for AI and ML work across groups such as Embodied AI, Simulation and Data Science.

The team models capacity, makes cloud usage more efficient, helps plan with vendors, and builds tools that show capacity, demand, utilization, reliability and cost to engineers.

The Capacity Intelligence system is the team's main interface and single source of truth for capacity requests, cloud spend, budget pacing, quota and queue analysis, egress forecasting and capacity insights. It is being extended to cover new cloud providers and more advanced modeling.

As an intern, you will help build out and improve this system, with a focus on adding new capabilities.

Responsibilities

• Build scalable infrastructure, tools and insights for model training, simulation, CI builds and data generation inside the Capacity Intelligence program.
• Write code for deliverables alongside the engineering team.
• Take on additional tasks that differ by team.

Requirements

• You must be enrolled full time in a degree program and working toward a Bachelor's or Master's in computer science or a related technical field.
• You have experience with systems software or algorithms.
• You know an object-oriented language such as Java, C++ or Python, and you have written Python code.
• You have worked with SQL and BigQuery.
• You communicate well and have worked with teams across functions.
• You can work full time, 40 hours a week.
• Preferred: you have shown software engineering skill through an internship, paid work or coding competitions.
• Preferred: you are familiar with AI-assisted engineering tools for code generation, model analysis or experiment planning.
• Preferred: you bring creativity and solve problems quickly.
• Preferred: you have research or work experience in machine learning infrastructure.
• Preferred: you have worked with distributed systems such as Spark, Ray, Kubernetes or Slurm.
• Preferred: you have experience with scheduling algorithms, orchestration or compute.
• Preferred: you plan to return to your degree program after the internship.
• Preferred: you graduate between December 2027 and August 2028.

Conditions

Based in Sunnyvale, California.

Hybrid: you report to the office up to three days per week, or as the team sets.

Monthly pay is $9,600 to $11,800.

Eligible students selected for the 2027 Student Program receive a one-time lump sum stipend, which is taxable.

The company does not discriminate unlawfully and aims for an inclusive workplace.

Benefits

• Paid US company holidays.
• A discount on vehicles through the Family First program.
• Room to grow within the company, based on results.
• Intern events for networking with company leaders and peers.