
Senior Performance Engineer
Required skills
- Performance Engineer
- AI
- accelerated computing
- modern graphics technologies
- Enterprise
- competitive data analysis
- pre-production hardware
- reference hardware
- consumer hardware
- Professional Visualization
Nice to have
- benchmarking
- competitive analysis
- LLM development
- LLM deployment
- NVIDIA hardware
- NVIDIA software products
Role summary
NVIDIA is seeking a Senior Performance Engineer to join their advanced technology team. This role involves analyzing performance data for AI, accelerated computing, and graphics technologies, working with Marketing, Architecture, and Engineering teams. Responsibilities include bringing up and debugging hardware, running performance and power tests on GPUs for various applications, developing Python automation scripts for benchmarking, and creating reports. A Bachelor's degree or equivalent experience with 5+ years in a technical or business marketing field is required, along with expertise in application benchmarking, performance analysis, 3D application testing methods, Python scripting, and hardware component analysis to identify bottlenecks. Preferred qualifications include experience in competitive analysis, LLM development/deployment, and NVIDIA hardware/software knowledge.
As a Performance Engineer at NVIDIA, you will be part of a team that’s advancing the limits of what technology can achieve. This is an outstanding opportunity to work at the forefront of AI, accelerated computing, and modern graphics technologies. You will play a crucial role in crafting the future of our products and influencing key business decisions. If you’re passionate about performance analysis and eager to contribute to world-class innovations, this is the perfect role for you!
What you’ll be doing:
Work directly with Marketing, Architecture, and Engineering across Enterprise business units to provide competitive and internal data analysis. Your insights will set industry performance expectations, support new product initiatives, and influence business decisions.
Bring-up, maintain, and debug pre-production, reference, and consumer hardware to help build the next great NVIDIA product.
Run performance, image quality, and power tests of Professional Visualization, AI, and LLM benchmark applications on various GPUs
Develop and maintain Python-based automation scripts and tools to streamline benchmarking procedures and balance configuration files.
Design new tools and create efficient processes to improve benchmarking analysis and reporting workflows
Analyze and validate results from test runs and craft reports that will be used by various groups within the company.
What we need to see:
Bachelor’s degree (or equivalent experience) with 5+ years of experience in a technical or business marketing field.
Knowledge of Enterprise Workstation/AI/LLM application benchmarking fundamentals, performance analysis, and competitive data comparisons.
Deep understanding in the field 3D application performance testing methods and techniques.
Excellent programming and debugging skills in a scripting language; Python preferred.
Expert knowledge of hardware & PC components to identify and root-cause performance bottlenecks.
Strong verbal and written interpersonal skills.
Demonstrated ability to balance multiple simultaneous projects successfully.
Ways to stand out from the crowd:
Strong skills or previous experience in benchmarking and competitive analysis.
Experience with LLM development and deployment.
Knowledge of NVIDIA hardware and NVIDIA software products.
Strong collaboration and interpersonal skills.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 21, 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.Sample NVIDIA interview questions
- 1
Design a system for a rock paper scissors game
system designmedium - 2
Implement a distributed data migration management platform.
system designmedium - 3
Design a Distributed Build System with Cross-Data Center Artifact Sharing
system designhard - 4
Design a distributed training system for a trillion-parameter language model
system designmedium - 5
Develop a distributed tracing system for tracking and debugging.
system designmedium
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