Senior Performance Engineer
Sign up free to see how well your resume matches this role.
What you'll do
- Work directly with Marketing, Architecture, and Engineering across Enterprise business units to provide competitive and internal data analysis.
- 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 they're looking for
- 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.
Nice to have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
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.Company
Company facts come from this company's own listings. We only show what the postings themselves carry.