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Performance Driver Jobs in California (NOW HIRING)

Delos

Head of Performance Visibility

San Jose, CA · On-site

$150 - $200/hr

Working at the intersection of hardware design, driver architecture, runtime systems, and ML infrastructure, you will shape how these layers expose and consume performance intelligence. This is a ...

Qualcomm

Windows Performance Engineer, Staff

San Diego, CA · On-site

$148K/yr

... Drivers, Assembly Language, CPU microarchitecture and SoC/Memory/Bus architecture. As a Windows ... Implement software optimizations to ensure performance criteria is met * Develop and enhance ...

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Performance Driver information

What is a performance driver?

Performance drivers, also known as professional race car drivers or stunt drivers, are individuals who operate vehicles at high speeds or in demanding conditions for competitive racing, testing, or entertainment purposes. Their main role is to push vehicles to their limits, often in motorsport events, automotive testing, or for film and television productions. They require advanced driving skills, quick reflexes, and a deep understanding of vehicle mechanics and dynamics. Performance drivers often work with teams to optimize vehicle performance and ensure safety during high-speed maneuvers.

What are the key skills and qualifications needed to thrive as a performance driver?

To thrive as a Performance Driver, you need advanced driving skills, in-depth knowledge of vehicle dynamics, and often a valid professional racing or high-performance driving license. Familiarity with telemetry systems, data analysis tools, and industry-standard safety equipment is crucial. Exceptional focus, quick decision-making, and strong communication skills help drivers adapt to rapidly changing conditions and work effectively with teams. These abilities are essential for achieving peak vehicle performance, ensuring safety, and succeeding in competitive or testing environments.

What are some common challenges faced by performance drivers, and how can they be overcome?

Performance Drivers often face challenges such as adapting to different vehicles, managing high-pressure situations during competitions or testing, and maintaining peak physical and mental condition. To overcome these challenges, drivers typically undergo rigorous training to familiarize themselves with various car dynamics, work closely with technical teams to fine-tune vehicle performance, and follow strict fitness and nutrition regimens. Effective communication with engineers and consistent practice are key to success in this dynamic and demanding role.

What is the difference between Performance Driver vs Sales Associate?

AspectPerformance DriverSales Associate
Required CredentialsRelevant certifications or experience in sales or marketingHigh school diploma or equivalent, sales training
Work EnvironmentCorporate offices, client sites, or retail settingsRetail stores, showrooms, or direct customer interactions
Employer & Industry UsageUsed in marketing, sales, and business development sectorsCommon in retail, hospitality, and customer service industries
Search & Comparison IntentUnderstanding roles focused on driving performance metricsLooking for entry-level sales roles or retail positions

Performance Drivers focus on developing strategies to improve business outcomes and often require marketing or sales experience. Sales Associates primarily engage in direct customer sales and service. While both roles involve sales skills, Performance Drivers are more strategic, whereas Sales Associates are more customer-facing and transactional.

What cities in California are hiring for Performance Driver jobs? Cities in California with the most Performance Driver job openings:
Performance Driver jobs near you
Infographic showing various Performance Driver job openings in California as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Senior CPU Performance Architect

Nvidia Corporation

Santa Clara, CA • On-site

$196K/yr

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!
What you'll be doing:
  • Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.
  • Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.
  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.
  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.
  • Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.
  • Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.

What we need to see:
  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
  • 12+ years of relevant experience.
  • Experience with CPU workloads and performance analysis.
  • Knowledge of performance test development and benchmarking for CPU and I/O.
  • Deep knowledge of CPU microarchitecture and system architecture.
  • Experience with the ARM instruction set architecture (ISA) preferable but not required.

Ways to stand out from the crowd:
  • PhD or Research experience.
  • GPU driver experience.
  • Knowledge of GPU-accelerated workloads and modeling performance of accelerated workloads.
  • Experience with performance optimization of AI frameworks such as PyTorch.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research. With the introduction of the Grace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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