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The Performance Lab Jobs in California (NOW HIRING)

Broadcom

AI Systems Performance Engineer

San Jose, CA · On-site

Broadcom is seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within their Performance Lab. This role involves driving the performance ...

Broadcom

AI Systems Performance Engineer

San Jose, CA · Remote

$141K - $226K/yr

We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within our Performance Lab. In this high-impact position, you will drive the ...

Red Bull

Performance Science Manager

Santa Monica, CA · On-site

$85K - $128K/yr

The Performance Science Manager must operate across lab, gym, rehab, and field environments ensuring that athlete data is reported and communicated in a way that improves training, rehabilitation ...

Red Bull

Performance Science Manager

Santa Monica, CA

$85K - $128K/yr

The Performance Science Manager must operate across lab, gym, rehab, and field environments ensuring that athlete data is reported and communicated in a way that improves training, rehabilitation ...

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The Performance Lab information

What is the difference between The Performance Lab vs Performance Analyst?

AspectThe Performance LabPerformance Analyst
CredentialsRelevant certifications in performance testing, data analysis, or related fieldsCertifications in data analysis, statistics, or performance testing often preferred
Work EnvironmentTypically in labs, testing centers, or specialized facilitiesOffice settings, client sites, or remote work environments
Industry UsageUsed across sports, gaming, and tech industries for performance optimizationCommonly found in corporate, sports, and tech sectors analyzing performance metrics
Job FocusPerformance testing, data collection, and analysis of systems or athletesAnalyzing performance data to improve efficiency and outcomes

The Performance Lab and Performance Analyst roles share overlapping skills in data analysis and performance testing but differ mainly in their work environments and specific focus areas. The Performance Lab often involves hands-on testing in specialized facilities, while a Performance Analyst typically works in office settings analyzing data to inform improvements.

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The Performance Lab jobs near you

System Software Engineer - Performance Lab

NVIDIA AI

Santa Clara, CA • On-site

$164K/yr

Full-time

Posted 10 days ago

Job description

Job Summary:
NVIDIA AI is a leader in computer graphics and accelerated computing, now focusing on AI technologies. The role involves developing software solutions for NVIDIA's Performance Lab, specifically targeting GPU workloads and benchmarking in financial services.
Responsibilities:
• Writing and maintaining containerized GPU accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.
• Running, validating, and analyzing benchmarking models at scale on HPC clusters.
• Visualizing performance data, building charts and dashboards using internal schemas and tooling.
• Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.
Qualifications:
Required:
• Bachelors degree in Computer Engineering, Software Engineering, Computer Science, or related field (or equivalent experience) with 8+ years of experience.
• Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.
• Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships.
• 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).
Preferred:
• Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.
• Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.
• Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).
• Experience with containerized applications and resource management.
• Interest in quantitative finance and applying performance data to real-world problems.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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