NVIDIA

2 weeks ago

Performance Engineer Intern, Systems Software- Fall 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Join the team responsible for Desktop Gaming Performance testing, maintaining and developing GPU-accelerated workloads on Linux and Windows. You’ll run and analyze benchmarking models at scale on HPC clusters, visualize performance results with charts and dashboards, and partner with teams working on financial AI reference models. This internship is focused on containerized workloads, performance data, and applied machine learning lifecycle concepts.

Location: St. Louis

Workplace: Onsite

Employment Type: Internship

Job Function: Healthcare (Clinical, Medical, Wellness)

Seniority: Intern level

Key Responsibilities

•Write and maintain containerized GPU-accelerated workloads for financial services use cases such as deep learning training/inference, portfolio optimization, and backtesting.
•Run, validate, and analyze benchmarking models at scale on HPC clusters.
•Visualize performance data by building charts and dashboards using internal schemas and tooling.
•Work closely with financial AI model and tooling teams to help build reference models for NVIDIA.
•Collaborate with the team to support the maintenance, development, and execution of Desktop Gaming Performance testing.

Pay and Benefits

Salary: USD 20 - 71 hourly

Key Requirements

•Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.
•Active experience with Python.
•Comfort working in a Linux command-line environment with version control.
•Ability to improve code quality using computer science fundamentals, algorithms, and data structures.
•Foundational understanding and interest in the machine learning lifecycle (training, evaluation, and inference).

Experience:Machine learningHPCFinancial servicesGPU computingContainers

Education:Bachelor's in Computer Engineering, Software Engineering, Computer Science, or related field

Skills:TeamworkCollaborationProblem-solvingCross-functional partnershipCode quality focus

Tech Stack:PythonLinuxWindowsContainerizationGPU computingPyTorchCUDACuOPTCUTLASSCuDNNKubernetesSlurmHPC clustersVersion control

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 weeks ago

Performance Engineer Intern, Systems Software- Fall 2026

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: St. Louis

Workplace: Onsite

Employment Type: Internship

Job Function: Healthcare (Clinical, Medical, Wellness)

Seniority: Intern level

Key Responsibilities

•Write and maintain containerized GPU-accelerated workloads for financial services use cases such as deep learning training/inference, portfolio optimization, and backtesting.
•Run, validate, and analyze benchmarking models at scale on HPC clusters.
•Visualize performance data by building charts and dashboards using internal schemas and tooling.
•Work closely with financial AI model and tooling teams to help build reference models for NVIDIA.
•Collaborate with the team to support the maintenance, development, and execution of Desktop Gaming Performance testing.

Pay and Benefits

Salary: USD 20 - 71 hourly

Key Requirements

•Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.
•Active experience with Python.
•Comfort working in a Linux command-line environment with version control.
•Ability to improve code quality using computer science fundamentals, algorithms, and data structures.
•Foundational understanding and interest in the machine learning lifecycle (training, evaluation, and inference).

Experience:Machine learningHPCFinancial servicesGPU computingContainers

Education:Bachelor's in Computer Engineering, Software Engineering, Computer Science, or related field

Skills:TeamworkCollaborationProblem-solvingCross-functional partnershipCode quality focus

Tech Stack:PythonLinuxWindowsContainerizationGPU computingPyTorchCUDACuOPTCUTLASSCuDNNKubernetesSlurmHPC clustersVersion control

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor