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.