Tesla

Makes electric cars, robotaxis and grid batteries

HPC Engineer - SI Infrastructure

Platform EngineeringUpdated on Nov 8

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

About the Job

Requirements

Proficiency with Linux operating systems and network fundamentals.
Proficiency with LSF scheduler deployment and management.
Proficiency with scripting languages such as Python or Bash.
Experience with InfiniBand network management.
A degree in Computer Science, Computer Engineering, Electrical Engineering, or Physics, or proof of exceptional skills in a related field.
At least 3 years of additional equivalent experience or evidence of exceptional ability related to the position.

Responsibilities

Support the HPC cluster infrastructure used by SI Hardware engineers for silicon development.
Manage CPU and GPU platforms, focusing on systems automation, configuration management, and deployment at scale.
Provision and manage compute and storage clusters, workload allocation and cluster scheduling, and software applications.
Troubleshoot job submission and execution with users, identify root causes, and resolve issues.
Improve monitoring and self-healing pipelines and the security posture.
Work with hardware and storage vendors to tune and optimize server, storage, and network performance.
Tune performance and provision operating systems on Linux systems.
Perform automation and systems engineering.
Participate in a 24x7 on-call rotation.

Desired Qualifications

Experience with configuration management software such as Ansible, systems monitoring and alerting tools such as Prometheus, Grafana, Telegraf, or Splunk.
Experience with high-throughput, low-latency networks, GPU-based computing systems, and/or high-performance storage systems.
Experience with Slurm and storage management of parallel file systems.

Category	Engineering & Information Technology
Location	Palo Alto, California
Requisition ID	276297
Type	Full-time

Job Description

Tesla's Supercomputing/Super Intelligence infrastructure team works directly with the high-performance computing and machine learning infrastructure on which our ML algorithms run; this includes virtual simulations, Autopilot hardware, silicon design, and Dojo. As cluster builds grow in size and complexity continuous development/automation of deployment, monitoring, self-healing and alerting processes is imperative to the success of our engineering groups. As the scope and impact of our Optimus, Full-Self-Driving (FSD) & Robotaxi efforts continue to scale, so does the value of this team and its work. <br> <br>As an HPC Engineer, you will be responsible for maintaining and improving our platform to ensure our SI hardware engineering teams have the necessary tools and resources to be productive. This includes managing/operating our SI infrastructure, monitoring compute/GPU/network metrics, Linux troubleshooting & performance tuning, and collaborating with our Data Center team to coordinate the smooth operation of hundreds of servers & bring up new capacity.

Job Responsibilities

Support the HPC cluster infrastructure used by our SI Hardware engineers for silicon development
CPU and GPU platforms, focusing on systems automation, configuration management and deployment at scale
Provision and manage compute and storage clusters, workload allocation and cluster scheduling, and software applications
Work with users to troubleshoot job submission and execution, root cause and resolve issues
Improve our monitoring & self-healing pipelines, as well as security posture
Work with hardware and storage vendors to tune and optimize our server, storage and network performance
Performance tuning & OS provisioning on Linux systems
Automation and systems engineering
Participate in 24x7 on-call rotation

Job Requirements

Proficiency with Linux OS & network fundamentals
Proficiency with LSF scheduler deployment and management
Proficiency with scripting languages such as Python or Bash
Experience with Infiniband network management
Experience with configuration management software (Ansible, etc.), systems monitoring & alerting (Prometheus, Grafana, Telegraf, Splunk, etc.) is a plus
Experience with high-throughput low-latency networks, GPU-based computing systems, and/or high-performance storage systems is a plus
Experience with Slurm and storage management of parallel file systems is a plus
Degree in Computer Science, Computer Engineering, Electrical Engineering, Physics or proof of exceptional skills in related field
3+ years of additional equivalent experience or evidence of exceptional ability related to the position

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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