ZipRecruiter

Log In

1

Cpu Workload Analysis Jobs (NOW HIRING)

Nvidia

Senior CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

Develop infrastructure to visualize CPU performance bottlenecks on important workloads. * Develop performance analysis tools. * Analyze and debug performance scaling bottlenecks on multi-core and ...

next page

Showing results 1-20

People also search for

All JobsCpu Workload Analysis Jobs

Cpu Workload Analysis information

See salary details

$37.5K

$95.9K

$144.5K

How much do cpu workload analysis jobs pay per year?

As of Jun 5, 2026, the average yearly pay for cpu workload analysis in the United States is $95,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $112,000.00 per year, depending on experience, location, and employer.

What is the difference between Cpu Workload Analysis vs Cpu Performance Testing?

AspectCpu Workload AnalysisCpu Performance Testing
PurposeEvaluates CPU workload distribution and resource utilization to optimize performanceMeasures CPU performance metrics under specific conditions to assess capabilities
Tools & TechniquesMonitoring software, workload simulation, system analysis toolsBenchmarking tools, stress testing software, performance profiling
Work EnvironmentData centers, IT departments, system administratorsTesting labs, quality assurance teams, hardware manufacturers
CredentialsIT certifications, system analysis experienceHardware testing certifications, performance analysis skills

While Cpu Workload Analysis focuses on understanding how CPU resources are utilized during normal operation, Cpu Performance Testing evaluates the CPU's capabilities under controlled stress conditions. Both roles require technical knowledge of hardware and system monitoring tools but serve different purposes in maintaining optimal CPU performance.

What is CPU workload analysis?

CPU workload analysis is the process of monitoring, measuring, and evaluating how the central processing unit (CPU) of a computer system handles various tasks and operations. This analysis helps identify patterns of resource usage, bottlenecks, and inefficiencies, allowing system administrators and engineers to optimize performance. It is often used to ensure that applications and systems are running efficiently, to anticipate capacity needs, and to troubleshoot performance issues. Tools and techniques for CPU workload analysis can vary depending on the platform and the complexity of the environment.

What are the key skills and qualifications needed to thrive as a CPU Workload Analyst, and why are they important?

To thrive as a CPU Workload Analyst, you need a strong background in computer science, data analytics, and performance tuning, often supported by a relevant degree or certifications. Familiarity with performance monitoring tools (like Perf, top, or Intel VTune), scripting languages, and system profiling software is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with technical teams. These competencies are important for optimizing system performance, identifying bottlenecks, and ensuring efficient resource utilization in complex computing environments.

What are some common challenges faced by professionals in CPU workload analysis roles, and how can these be addressed?

Professionals in CPU workload analysis often encounter challenges such as managing large volumes of performance data, distinguishing between normal and abnormal workload patterns, and ensuring analysis tools are compatible with evolving hardware architectures. Staying current with the latest profiling tools and developing strong scripting skills can help streamline data analysis. Additionally, collaborating closely with hardware engineers and software developers enables more accurate interpretation of results and identification of optimization opportunities.
Infographic showing various Cpu Workload Analysis job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 22% Full Time, 6% Temporary, 60% Contract, and 6% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $95,935 per year, or $46.1 per hour.
Senior System Simulation Architect

Senior System Simulation Architect

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 29 days ago

Job description

Do you want to help drive the development of CPU architectures to fuel the explosive growth in artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team as a Senior System Simulation Architect and help us push performance boundaries for NVIDIA's line of CPU products!

What you'll be doing:

  • Develop full-system functional models capable of running complex multi-threaded heterogeneous (CPU/GPU) workloads - with special focus on the CPU subsystem.

  • Integrate functional models from various frameworks with RTL simulators and emulators, hardware (HW-in-the-loop), and detailed performance models.

  • Bring up system and application software in simulation and emulation - including firmware, Linux, drivers, benchmarks, and CPU/GPU workloads such as deep-learning (DL) and high-performance computing (HPC) workloads.

  • Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs.

  • Support CPU architects and performance engineers in their use of functional models, performance models, and emulation to drive next-generation CPU architectures.

What we need to see:

  • BS/MS in EE, CE, or CS or equivalent experience

  • 6 or more years of relevant experience

  • Excellent C/C++/Python programming skills

  • Experience in development of functional simulators and/or low-level software (OS, firmware, drivers); preferably both

  • Excellent debugging skills - of both system software/firmware and application software

  • Experience with the ARM ISA

  • Excellent communication and teamwork skills

Ways to stand out from the crowd:

  • Experience working with hardware emulators and/or FPGAs

  • Background in CPU workload analysis (SimPoint, etc.)

  • Experience with Linux kernel bringup and debug

  • Familiarity with CUDA

  • Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks

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 theGrace 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 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.
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

View All Nvidia Jobs

Apply