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Senior Performance Engineer Jobs in Raleigh, NC (NOW HIRING)

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more ... We are looking for AI Accelerator Architecture Engineers to drive functional, performance and power ...

ACA Group

Senior Angular Engineer

Durham, NC · On-site

$125K - $156K/yr

As a cloud-native SaaS provider, we ensure scalability, security, and performance. Our agile team of talented engineers works collaboratively to push the boundaries of what's possible, creating ...

ACA Group

Senior Angular Engineer

Durham, NC · Hybrid

$125K - $156K/yr

As a cloud-native SaaS provider, we ensure scalability, security, and performance. Our agile team of talented engineers works collaboratively to push the boundaries of what's possible, creating ...

ACA Group

Senior Angular Engineer

Durham, NC · On-site

$117K - $146K/yr

As a cloud-native SaaS provider, we ensure scalability, security, and performance. Our agile team of talented engineers works collaboratively to push the boundaries of what's possible, creating ...

Dell Careers

Senior Systems Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell

Senior Systems Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell Careers

Senior Systems Engineer

Durham, NC · On-site

$101K - $138K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell Careers

Senior Systems Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell Careers

Senior Systems Engineer

Durham, NC · On-site

$101K - $138K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell Careers

Senior Systems Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell Careers

Senior Systems Engineer

Durham, NC · On-site

$101K - $138K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

Dell

Senior Systems Engineer

Raleigh, NC

$101K - $139K/yr

Senior Systems Engineer, Data ManagementOur field sales professionals rely on proactive technical ... Here's what we are looking for with this role: ETL/ELT concepts (staging, modeling, performance ...

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Senior Performance Engineer information

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How much do senior performance engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior performance engineer in Raleigh, NC is $123,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a senior performance engineer?

A Senior Performance Engineer is responsible for optimizing the performance, scalability, and reliability of software applications and systems. They analyze performance metrics, conduct load and stress testing, identify bottlenecks, and work with development teams to implement improvements. This role requires expertise in profiling tools, performance tuning, and system architecture to ensure optimal user experience. Additionally, they may establish best practices for performance testing and contribute to overall system design decisions.

What does a senior performance engineer do?

A Senior Performance Engineer typically oversees performance testing cycles, analyzes system metrics, and collaborates with development and operations teams to diagnose and resolve performance issues. Daily tasks often include designing and executing test plans, monitoring application behavior under load, and recommending improvements for scalability and efficiency. They also participate in code reviews and architectural discussions to identify potential bottlenecks early in the development cycle. Consistent communication with both technical and non-technical stakeholders is key, ensuring that performance goals align with business objectives.

What skills and qualifications are needed to thrive as a senior performance engineer?

To thrive as a Senior Performance Engineer, expertise in performance analysis, capacity planning, and system optimization—often backed by a degree in computer science or a related field—is crucial. Familiarity with tools such as LoadRunner, JMeter, APM solutions, profiling tools, and relevant certifications like CPPE or PMP are highly beneficial. Strong problem-solving, collaboration, and clear communication skills are vital for identifying bottlenecks and working closely with cross-functional teams. These combine to ensure robust system performance, user satisfaction, and reliable application scalability in demanding technical environments.

What are the most commonly searched types of Performance Engineer jobs in Raleigh, NC?

The most popular types of Performance Engineer jobs in Raleigh, NC are:

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For Senior Performance Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

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Senior Performance Engineer jobs near you

Senior Software Engineer, CUTLASS Performance

Nvidia

Durham, NC • On-site

$118K - $156K/yr

Full-time

Re-posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today!

What you'll be doing:

  • Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities.

  • Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.

  • Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks.

  • Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong programming skills in Python and C++.

  • Experience in software performance analysis and optimization.

  • Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures.

Ways to stand out from the crowd:

  • Deep understanding of state-of-the art DL model architectures.

  • Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.

  • Experience in developing performance models and performance regression systems.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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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