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Internship, Software Compiler Engineer, AI Inference (Fall 2025)

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Tesla

3d ago

  • Internship
    Full-time
    Placement Program
  • Data
    Software Engineering
  • Palo Alto

AI generated summary

  • You must be pursuing a CS or related degree, graduating between Dec 2025-May 2026, skilled in C++ and Python, and have a solid grasp of ML concepts. Relocation to Palo Alto is necessary.
  • You will own parts of the AI Inference stack, collaborate with teams to enhance neural networks, optimize performance, and debug issues on parallel systems.

Requirements

  • Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between December 2025 -May 2026
  • Must be able to relocate and work on site in Palo Alto, CA
  • Strong C++ programming skills and familiarity with Python
  • Solid understanding of machine learning concepts and fundamentals
  • Capable of delivering results with minimal oversight
  • Experience with quantization, MLIR, CUDA, and LLMs is a huge plus

Responsibilities

  • Take ownership of parts of AI Inference stack (Export/Compiler/Runtime) (flexible, based on skills/interests/needs)
  • Closely collaborate with AI team to guide them on the design and the development of Neural Networks into production
  • Collaborate with HW team to understand current HW architecture and propose future improvements
  • Develop algorithms to improve performance and reduce compiler overhead
  • Debug functional and performance issues on massively-parallel systems
  • Work on architecture-specific neural network optimization algorithms for high performance computing

FAQs

What are the start and end dates for the internship?

The internship is expected to start around August or September 2025 and continue through the Fall term, ending approximately December 2025, with the possibility of extending into Winter/Spring 2026.

Is this position open to recent graduates?

No, this internship is only for students who are actively enrolled in an academic program. Recent graduates should apply for full-time positions instead.

What is the minimum duration and work schedule for the internship?

The minimum duration for the internship is 12 weeks, and it requires full-time, on-site work, meaning interns must be able to work 40 hours per week.

Are international students eligible to apply?

Yes, but if your work authorization is through CPT, you must consult your school regarding your ability to work 40 hours per week before applying.

Where is the internship located?

The internship is located in Palo Alto, CA, and interns must be able to relocate and work on-site.

What academic background is required for this position?

Candidates must be pursuing a degree in Computer Science, Computer Engineering, or a relevant field of study, with a graduation date between December 2025 and May 2026.

What programming skills are necessary for this role?

Strong C++ programming skills are required, along with familiarity with Python.

What knowledge is preferred for prospective candidates regarding machine learning?

A solid understanding of machine learning concepts and fundamentals is necessary, and experience with quantization, MLIR, CUDA, and LLMs is a huge plus.

What kind of problems will the intern be expected to solve?

Interns will address functional and performance issues on massively-parallel systems and develop algorithms to improve performance and reduce compiler overhead.

What benefits will interns receive?

Interns will be eligible for various benefits, including medical plans with $0 payroll deduction, dental and vision coverage, a 401(k), employee stock purchase plans, and more.

What is the expected compensation for this internship?

The expected compensation ranges from $100,000 to $150,000 annual salary, plus benefits, but may vary based on individual factors such as skills and experience.

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Tesla

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.