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Weekend Performance Engineer Jobs in Redmond, WA

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ... Partner with compiler, architecture, and performance teams to validate impact on representative ...

We work closely with product managers, product designers, and security engineers to deliver highly reliable, high-performance systems for customers worldwide. We pride ourselves on a culture of ...

New

Develop performance improvement plan, based on business objectives * Assess business challenges and ... Experience installing and administering multiple industry leading DevOps tools * Good knowledge and ...

... optimal performance and reliability. • Seamlessly integrate software with hardware components ... and weekends as necessary to support critical project milestones. • Must be a U.S. citizen ...

Showing results 41-60

Weekend Performance Engineer information

See Redmond, WA salary details

$12

$67

$109

How much do weekend performance engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for weekend performance engineer in Redmond, WA is $67.31, according to ZipRecruiter salary data. Most workers in this role earn between $55.19 and $76.20 per hour, depending on experience, location, and employer.

What is the difference between Weekend Performance Engineer vs Weekend Network Engineer?

AspectWeekend Performance EngineerWeekend Network Engineer
Primary FocusSystem performance, application optimization, and server efficiencyNetwork infrastructure, connectivity, and network security
Required SkillsPerformance testing, troubleshooting, server managementNetwork protocols, hardware setup, troubleshooting network issues
CertificationsPerformance-related certifications (e.g., AWS, Linux)Network certifications (e.g., Cisco CCNA, CompTIA Network+)
Work EnvironmentData centers, cloud environments, IT departmentsNetwork operation centers, enterprise IT settings

The Weekend Performance Engineer and Weekend Network Engineer roles share similarities in working during weekends and requiring technical certifications. However, the Performance Engineer focuses on optimizing system and application performance, while the Network Engineer specializes in maintaining and troubleshooting network infrastructure. Both roles are essential in IT operations but serve different technical domains.

What are popular job titles related to Weekend Performance Engineer jobs in Redmond, WA?

For Weekend Performance Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Weekend Performance Engineer jobs in Redmond, WA look for?

The top searched job categories for Weekend Performance Engineer jobs in Redmond, WA are:

Infographic showing various Weekend Performance Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $140,015 per year, or $67.3 per hour.

Senior Software Engineer, CUTLASS Performance

Nvidia

Redmond, WA • On-site

$137K - $180K/yr

Full-time

Re-posted 14 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 244 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