Urgent! DGX Cloud Performance Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs).
We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of Nvidia’s DGX Cloud clusters.
The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems.
Candidates will work closely with the cross functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop world class AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc).
What you will be doing :
+ Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services;
+ Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective;
+ Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both).
+ Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice.
+ Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space
+ Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud
What we need to see:
+ Expertise in working with large scale parallel and distributed accelerator-based system systems
+ Expertise optimizing performance and AI workloads on large scale systems
+ Experience with performance modeling and benchmarking at scale
+ Strong background in Computer Architecture, Networking, Storage systems, Accelerators
+ Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others
+ Experience with AI/ML models and workloads, in particular LLMs as well as an u nderstanding of DNNs and their use in emerging AI/ML applications and services
+ Bachelors/Masters in Engineering or equivalent experience (preferably, Electrical Engineering, Computer Engineering, or Computer Science)
+ 10 years experience in the above areas
+ Proficiency in Python, C/C+
+
+ Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …);
Ways to stand out from the crowd :
+ PhD in the relevant areas
+ Very high intellectual curiosity; Confidence to dig in as needed; Not afraid of confronting complexity; Able to pick up new areas quickly;
+ Proficiency in CUDA, XLA
+ Excellent interpersonal skills
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us.
If you're creative, autonomous and love a challenge, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until October 25, 2025.
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.
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Unlock Your DGX Cloud Potential: Insight & Career Growth Guide
Real-time DGX Cloud Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for DGX Cloud in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 20294 jobs in United States and 235 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in DGX Cloud roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a DGX Cloud Performance Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a DGX Cloud Performance Engineer Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for DGX Cloud Performance Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your DGX Cloud Performance Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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