Performance Engineer, Deep Learning and HPC

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $116,000–$189,750 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $153k

$99k $278k

below market most similar roles pay here above market

This role pays less than 89% of similar roles. Most pay $177,287–$235,750 — the blue band above. At the midpoint, this role pays about $153k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1463 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Performance Engineer, Deep Learning and HPC

Role Posting Log in to save

JOB TITLE: Performance Engineer, Deep Learning and HPC The Performance Engineer, Deep Learning and HPC joins a team responsible for generating benchmark data across a growing catalog of Deep Learning and High-Performance Computing frameworks and applications. You will plan and execute performance benchmarking, aggregate and analyze testing data, and generate written and visual reports for internal sales, marketing, software, and hardware teams. Daily tasks include developing Python scripts to automate testing, debugging performance issues with internal engineering teams, and assisting with tool development to improve automated testing processes. Required skills include proficiency in Python or Unix shell, Linux systems like Ubuntu and CentOS, and compiling software from source code. Candidates should also have experience with container platforms like Docker or Singularity and data analysis skills to summarize findings.

Skills

Python Deep Learning High-Performance Computing PyTorch TensorRT MXNet Docker Singularity Linux Unix Shell AWS GCP Azure GNU Intel Composer PGI Benchmarking Data Analysis

What you'll do

Plan and execute performance benchmarking across various HPC and DL frameworks and applications.
Aggregate and analyze testing data to generate written and visual reports for internal teams.
Develop Python scripts to automate the testing of DL and HPC-focused applications.
Work with internal engineering teams to debug performance issues.
Assist with the development of tools and processes to improve automated testing capabilities.
Learn and utilize the latest applications in advanced machine learning and HPC.

What we're looking for

B.S. in Computer Engineering, Computer Science, or a related technical field or equivalent experience.
2+ years of experience.
Excellent programming and debugging skills in a scripting language such as Python or Unix shell.
Advanced knowledge using Linux-based systems, with Ubuntu and CentOS strongly preferred.
Proficiency in compiling software from source code and debugging encountered errors.
Excellent English verbal and written interpersonal skills.
Excellent data analysis skills and the ability to summarize findings in a written report.
Familiarity using a container platform such as Docker or Singularity.

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