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New Grad, Machine Learning Infrastructure Software Engineer, Dojo (Spring/Summer 2025)

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Tesla

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
    Engineering
  • Palo Alto

AI generated summary

  • You must graduate Spring/Summer 2025 in Engineering/Computer Science, be proficient in C++/Python, and have an interest in distributed systems and hardware/software optimization. Strong communication skills are essential.
  • You will optimize training workloads, improve neural network performance, identify system bottlenecks, enhance training software, ensure system reliability, and collaborate across teams for efficient workflows.

Requirements

  • Degree in Engineering, Computer Science and graduating Spring or Summer 2025, or equivalent in experience and evidence of exceptional ability
  • Strong proficiency in C++ and/or Python programming
  • Experience or interest in distributed systems, parallel programming, and hardware/software optimization
  • A willingness to work across different technical areas, from deep learning frameworks to hardware systems
  • Strong communication skills and an ability to work in a fast-paced, collaborative environment
  • An eagerness to learn and tackle new technical challenges in AI and machine learning systems

Responsibilities

  • Collaborate with machine learning researchers and engineers to optimize training workloads on Tesla's Dojo system
  • Work on a variety of tasks, from improving the performance of neural network training to optimizing hardware-software interactions
  • Help identify and solve bottlenecks across distributed systems to ensure efficient training and faster model convergence
  • Contribute to the development and optimization of training software, ensuring smooth operation of the system and integration with Tesla’s broader infrastructure
  • Support the reliability and performance of the Dojo system, including monitoring, troubleshooting, and making improvements where needed
  • Collaborate with cross-functional teams to ensure that training workflows run efficiently, from data management to system-level optimizations

FAQs

What is the role of a Machine Learning Infrastructure Software Engineer at Tesla's Dojo team?

The role involves building the infrastructure used for training neural networks on Tesla's custom-built supercomputer, collaborating with various teams to solve challenges related to performance, scalability, and reliability.

What programming languages are preferred for this position?

Strong proficiency in C++ and/or Python programming is required.

When should candidates expect to graduate to be eligible for this position?

Candidates should be graduating in Spring or Summer 2025.

Is experience in distributed systems or parallel programming necessary for this role?

While prior experience is beneficial, a strong interest in distributed systems, parallel programming, and hardware/software optimization is also acceptable.

What types of optimization will I be working on in this role?

You will work on optimizing training workloads, improving neural network training performance, optimizing hardware-software interactions, and addressing bottlenecks in distributed systems.

What kind of teams will I collaborate with in this position?

You will collaborate with machine learning researchers, engineers, and cross-functional teams to ensure efficient training workflows and system-level optimizations.

Are there any specific skills that I should have for this position?

Strong communication skills, the ability to work in a fast-paced collaborative environment, and an eagerness to learn about AI and machine learning systems are essential.

What benefits are offered to full-time employees at Tesla?

Employees are eligible for benefits such as medical, dental, and vision plans, 401(k) with employer match, employee stock purchase plans, paid time off, and various wellness programs among others.

What is the expected salary range for this position?

The expected compensation is between $132,000 - $300,000 annually, along with cash, stock awards, and benefits.

Will I be part of a team that focuses on the development of training software?

Yes, you will contribute to the development and optimization of training software within the Dojo system.

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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.