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Internship, QA Software Engineer, Dojo (Summer 2025)

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Tesla

9d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Palo Alto

AI generated summary

  • You should have strong Python skills, be comfortable with C++, know Linux, have test infrastructure experience, be familiar with PyTorch, and understand machine learning fundamentals.
  • You will develop Python libraries for deep learning workflows, write tests for Dojo's stack, and ensure neural networks perform correctly and efficiently on the platform.

Requirements

  • Strong proficiency with Python and comfortable with C++
  • Familiarity with Linux
  • Experience with setting up test infrastructure preferred
  • Experience with Pytorch
  • Machine Learning fundamentals

Responsibilities

  • Developing Python libraries to run, monitor, measure, and troubleshoot deep learning workflows running on Dojo
  • Writing tests to guarantee correctness at every level of the Dojo stack, from high-level pytorch integration, through every stage of the ML compiler stack, down to our custom hardware.
  • Ensuring that neural networks of interest to our users function correctly on Dojo at the expected high performance. Writing tools to run, monitor, measure, and troubleshoot deep learning workflows running on Dojo

FAQs

When does the internship for QA Software Engineer, Dojo start?

The internship is expected to start around May 2025.

How long is the internship program?

The internship program lasts for a minimum of 12 weeks, and it continues through the Summer term, approximately until August 2025, with potential extension into Fall 2025 if available.

Is this internship open to international students?

Yes, international students can apply, but if your work authorization is through CPT, you must consult your school about your ability to work 40 hours per week before applying.

What are the main responsibilities of the internship?

Interns will be responsible for developing Python libraries for deep learning workflows, writing tests to ensure correctness across the Dojo stack, and ensuring neural networks function correctly at high performance.

What qualifications or skills are required for this role?

Candidates should have strong proficiency with Python, be comfortable with C++, and have familiarity with Linux, experience with setting up test infrastructure, experience with PyTorch, and a grasp of machine learning fundamentals.

What compensation and benefits can an intern expect?

Interns can expect compensation between $40.00 - $56.13 per hour, along with various benefits including medical, dental, and vision plans, 401(k), employee stock purchase plans, sick time, paid holidays, and more.

Is this position a full-time role, and is it on-site?

Yes, this position is full-time and requires on-site work.

Are there any specific benefits related to family planning?

Yes, the benefits package includes family-building, fertility, adoption, and surrogacy benefits.

Does Tesla offer any support for childcare?

Yes, Tesla provides back-up childcare and parenting support resources.

What kind of work will interns be involved with?

Interns will automate the compilation of PyTorch-derived neural network graphs and troubleshoot performance and correctness on Tesla's custom Dojo accelerators.

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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.