NVIDIA

4 weeks ago

System Software Engineer - Performance Lab

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Join NVIDIA’s Performance Lab to build and optimize containerized GPU-accelerated workloads for AI, graphics, and datacenter applications. You’ll run benchmarks at scale on HPC clusters, visualize performance data, and collaborate on reference models with cutting-edge ML tools and CUDA libraries to advance NVIDIA’s AI and GPU computing initiatives.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Write and maintain containerized GPU-accelerated workloads for AI applications and the financial services industry, from deep learning training and inference to portfolio optimization and backtesting.
•Run, validate, and analyze benchmarking models at scale on HPC clusters.
•Visualize performance data and build charts and dashboards using internal schemas and tooling.
•Work closely with the latest financial AI models and tooling to help build reference models for NVIDIA.
•Collaborate across teams to improve code quality and develop partnerships across functions.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, or related field (or equivalent experience) with 8+ years of experience
•Professional experience with Python
•Working comfort in a Linux command-line environment with version control
•Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference)
•Desire to improve code quality by learning and applying CS fundamentals, algorithms, and data structures

Experience:8+ yearsFinanceAIGPU computingHPCMachine learning

Education:Bachelor's

Skills:PythonLinuxPyTorchCUDACUDA libraries cuOPT cuDNNKubernetesSlurmDockerContainerization

Languages:English

Tech Stack:PythonLinuxPyTorchCUDACuOPTCUTLASSCuDNNKubernetesSlurmDocker

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

4 weeks ago

System Software Engineer - Performance Lab

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Write and maintain containerized GPU-accelerated workloads for AI applications and the financial services industry, from deep learning training and inference to portfolio optimization and backtesting.
•Run, validate, and analyze benchmarking models at scale on HPC clusters.
•Visualize performance data and build charts and dashboards using internal schemas and tooling.
•Work closely with the latest financial AI models and tooling to help build reference models for NVIDIA.
•Collaborate across teams to improve code quality and develop partnerships across functions.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, or related field (or equivalent experience) with 8+ years of experience
•Professional experience with Python
•Working comfort in a Linux command-line environment with version control
•Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference)
•Desire to improve code quality by learning and applying CS fundamentals, algorithms, and data structures

Experience:8+ yearsFinanceAIGPU computingHPCMachine learning

Education:Bachelor's

Skills:PythonLinuxPyTorchCUDACUDA libraries cuOPT cuDNNKubernetesSlurmDockerContainerization

Languages:English

Tech Stack:PythonLinuxPyTorchCUDACuOPTCUTLASSCuDNNKubernetesSlurmDocker

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