Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - Inference Infrastructure Ops

Platform EngineeringUpdated on Nov 10

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
At least 5 years of software development experience focused on infrastructure software and datacenter operations for large-scale GPU/HPC clusters.
Strong programming skills in Python, Go, or Bash.
Experience with Slurm resource management and job scheduling systems.
Experience with distributed high-performance storage systems.
Strong understanding of system design principles, including scalability, availability, and reliability.
Experience with agile development methodologies and version control systems such as Git.
Knowledge of containerization technologies such as Docker or Kubernetes.

Responsibilities

Design and develop infrastructure control-plane software components for resource management and allocation, provisioning and automation of infrastructure components, monitoring and management of datacenter resources, and integration with distributed storage systems.
Collaborate with cross-functional teams to integrate software with datacenter infrastructure.
Develop and maintain infrastructure software focused on scalability and performance optimization, availability, reliability and fault tolerance, and automation and orchestration of datacenter operations.
Work with the operations team to ensure smooth deployment and operation of infrastructure software.
Test and validate infrastructure software to ensure it meets quality and reliability standards.
Collaborate with other engineers to identify and resolve technical issues and continuously improve the design and operation of datacenter infrastructure.

Category	Engineering & Information Technology
Location	Palo Alto, California
Requisition ID	253398
Type	Full-time

Job Description

<div class="MSWordContent"><p>The Supercomputing team is responsible for the high-performance computing and machine learning (SI/ML/HPC) infrastructure that drives the development of all the innovations in Super Intelligence, Full-Self-Driving (FSD), Robotaxi & Optimus engineering. We are seeking a highly skilled Software Engineer to join our team and contribute to the development of Supercomputing platform. As a key member of our infrastructure team, you will design, develop, and deploy software that ensures the reliability, availability, and scalability of our datacenter operations. You will focus on building the control plane for our infrastructure, including resource management, provisioning, observability and automation.</div>

Job Responsibilities

Design and develop software components for our infrastructure control plane, including: resource management and allocation; provisioning & automation of infrastructure components; monitoring and management of datacenter resources; integration with distributed storage systems
Collaborate with cross-functional teams to ensure seamless integration of our software with our datacenter infrastructure
Develop and maintain code for infrastructure software, focusing on areas such as: scalability & performance optimization; availability, reliability, & fault tolerance; automation & orchestration of datacenter operations
Work closely with the operations team to ensure smooth deployment and operation of infrastructure software
Participate in the testing and validation of infrastructure software to ensure it meets quality and reliability standards
Collaborate with other Engineers to identify and resolve technical issues, and to continuously improve the design and operation of our datacenter infrastructure

Job Requirements

Degree in Computer Science, Electrical Engineering, or related field or equivalent experience
5+ years of experience in software development, with a focus on infrastructure software and datacenter operations for large scale gpu/hpc clusters
Strong programming skills in languages such as Python, Go, or Bash
Experience with Slurm resource management and job scheduling systems
Experience with distributed high performance storage systems
Strong understanding of system design principles, including scalability, availability, and reliability
Experience with agile development methodologies and version control systems such as Git
Excellent problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions
Strong communication and collaboration skills, with the ability to work effectively with cross-functional team
Knowledge of containerization technologies, such as Docker or Kubernetes

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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