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Sr Performance Analyst Jobs (NOW HIRING)

Nvidia

Senior Performance Architect, Nemotron

Hillsboro, OR · On-site

$181K/yr

We are now looking for a Senior Performance Architect for Nemotron! At NVIDIA, we are redefining ... Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques ...

Nvidia

Senior Performance Architect, Nemotron

Redmond, WA · On-site

$187K/yr

We are now looking for a Senior Performance Architect for Nemotron! At NVIDIA, we are redefining ... Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques ...

NC SECU

Senior Performance Engineer

Raleigh, NC · Hybrid

$136K/yr

The purpose of the Senior Performance Engineer position is to serve as a senior member of the ... tests, analyzing test results, and providing recommendations to optimize performance and ...

Freddie Mac

Marketing Performance Analyst Senior

Mclean, VA · On-site

$103K - $127K/yr

As a Marketing Performance Analyst, Senior, you will transform data into strategic insights to optimize marketing ROI and fuel business growth. You will analyze performance metrics across paid and ...

Freddie Mac

Marketing Performance Analyst Senior

Mclean, VA

$103K - $127K/yr

As a Marketing Performance Analyst, Senior, you will transform data into strategic insights to optimize marketing ROI and fuel business growth. You will analyze performance metrics across paid and ...

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Sr Performance Analyst information

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$27.5K

$75.2K

$128.5K

How much do sr performance analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for sr performance analyst in the United States is $75,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $89,500.00 per year, depending on experience, location, and employer.

What does a Sr Performance Analyst do?

A Sr Performance Analyst is responsible for evaluating and improving the efficiency and effectiveness of business operations. They analyze data to identify trends, measure performance against key metrics, and make recommendations for process improvements. Their work often involves collaborating with various departments to implement strategies that enhance productivity and profitability. Additionally, they may design performance dashboards and provide regular reports to senior management. This role requires strong analytical, problem-solving, and communication skills.

What is the difference between Sr Performance Analyst vs Performance Analyst?

AspectSr Performance AnalystPerformance Analyst
Required CredentialsBachelor's degree, experience in data analysis, possibly certifications like CPLP or Six SigmaBachelor's degree in related field, entry to mid-level experience in data analysis
Work EnvironmentCorporate offices, finance, marketing, or operations teamsSimilar environments, often within same departments or industries
Employer & Industry UsageUsed in finance, healthcare, marketing, and tech sectors for senior-level data rolesCommonly used across industries for entry to mid-level performance analysis roles

The main difference between a Sr Performance Analyst and a Performance Analyst lies in experience and responsibility level. The senior role typically requires more experience, advanced skills, and may involve mentoring or leading projects. Both roles are vital for analyzing performance data, but the Sr Performance Analyst often handles more complex analysis and strategic insights.

What are some common challenges faced by Sr Performance Analysts and how can they be addressed?

Sr Performance Analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and effectively communicating insights to diverse stakeholders. To address these, it's important to use robust data validation techniques, stay updated on the latest analytical tools, and tailor presentations to the audience's technical understanding. Collaborating closely with cross-functional teams also helps ensure that analysis aligns with business objectives and that recommendations are actionable.

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

To thrive as a Sr Performance Analyst, you need strong analytical skills, expertise in data interpretation, and a background in finance, business, or related fields, often supported by a bachelor's or master's degree. Proficiency with analytics and reporting tools such as Excel, SQL, Power BI, and Tableau is typically required, along with experience using ERP systems. Exceptional problem-solving, communication, and stakeholder management skills help you present insights clearly and drive actionable recommendations. These competencies are crucial to enabling data-driven decision-making and optimizing organizational performance.
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Sr Performance Analyst jobs near you
Senior Performance Architect, Nemotron

Senior Performance Architect, Nemotron

Nvidia

Hillsboro, OR • On-site

$181K/yr

Full-time

Posted 2 days ago

Job description

We are now looking for a Senior Performance Architect for Nemotron! At NVIDIA, we are redefining the future of AI systems through deep model-system-hardware co-design. We are looking for a forward-thinking Nemotron Performance Architect to shape the next generation of Nemotron models through performance modeling, analysis, and forward projections. In this role, you will predict before we build - developing high-fidelity models to evaluate how architectural choices translate into real-world deployment efficiency. You will ensure that future models achieve Pareto-optimal trade-offs across accuracy, throughput, and interactivity on target platforms.

Recent efforts such as LatentMoE architectures and the Nemotron Super model exemplify the kind of performance-driven co-design you will help advance-where modeling insights directly shape model architecture and system efficiency at scale. This role sits at the center of Generative AI evolution, partnering across research, framework development, compiler, and hardware teams to guide decisions that determine how efficiently intelligence scales in production.

What You'll Be Doing:

  • Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques & hardware optimizations to drive model-hardware co-design Nemotron family of models.

  • Prioritize features to guide future software and hardware roadmap based on detailed performance modeling and analysis

  • Model end-to-end performance impact of emerging GenAI workflows - such as Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, RL etc. - to understand future datacenter needs

  • This position requires you to keep up with the latest DL research and collaborate with diverse teams, including DL researchers, hardware architects, and software engineers.

What we need to see:

  • A minimum qualification of a Master's degree (or equivalent experience) in Computer Science, Electrical Engineering or related fields.

  • Strong background in computer architecture, roofline modeling, queuing theory and statistical performance analysis techniques.

  • Solid understanding of ML fundamentals, model parallelism and inference serving techniques.

  • Proficiency in Python (and optionally C++) for simulator design and data analysis.

  • 3+ years of hands-on experience in system evaluation of AI/ML workloads or performance analysis, modeling and optimizations for AI.

  • Comfortable defining metrics, designing experiments and visualizing large performance datasets to identify resource bottlenecks.

  • Experience with deep learning frameworks like PyTorch, TRT-LLM, VLLM, SGLang

  • A Growth mindset and pragmatic "measure, iterate, deliver" approach.

Ways to Stand Out from the Crowd

  • Proven track record of working in multi-functional teams, spanning algorithms, software and hardware architecture.

  • Ability to distill complex analyses into clear recommendations for both technical and non-technical collaborators.

  • Experience with GPU computing (CUDA)

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 May 23, 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

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