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Server Performance Architect - Hardware

Nvidia

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610 open performance roles across 170 companies are on ApplySarthi right now, most of them in Bengaluru (46), Hyderabad (22), Pune (8).

What performance roles keep asking for: C++ (15%), Python (14%) — counted across their open postings here.

C++ jobs · Deep learning jobs · Excel jobs · Python jobs

Nvidia has 2,064 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Tell me about yourself, and why this role is the right next step.
  4. Tell me about a problem you solved at work that you are proud of.
  5. Tell me about a time you disagreed with your manager. What happened?

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NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! NVIDIA is seeking architects to drive architectural performance for its next-generation AI server systems. This position demands a unique capability to bridge deep architectural knowledge, workload analysis, and hands-on silicon investigations. Candidates should be adept at working directly with silicon, high-level models, and simulators. Responsibilities include conducting performance investigations on both NVIDIA and competitive platforms, and developing targeted microbenchmarks to examine specific architectural aspects. The role does not heavily involve modeling tasks (functional or performance), though occasional focused assignments may arise. What you'll be doing: Analyze workloads of interest on existing silicon, with an emphasis on at-scale AI workloads, and high-performance computing (HPC) applications. Collaborate with cross-functional teams to define performance metrics and key use-case scenarios, then develop robust tests and benchmarking methodologies. Conduct comprehensive performance evaluations, identify bottlenecks, and recommend effective solutions using appropriate tools and platforms. Utilize insights from workload analysis and silicon studies to propose architectural features that optimize system performance and scalability. Work closely with software and hardware teams to influence design choices that impact overall system performance. Act as a subject matter expert on system performance, providing guidance and support to the broader engineering team. Bridge architectural principles, workload understanding, and direct silicon evaluation to ensure NVIDIA's AI server systems deliver cutting-edge performance. What we need to see: Bachelor’s or Master’s degree in a relevant field; a PhD is a plus. 10+ years of practical experience in hardware architecture across areas such as CPU, GPU, cache, memory subsystem, PCIe, networking, or storage. Expertise in high-performance networking technologies, including InfiniBand and RoCE, or a strong familiarity with communication libraries like MPI and UCX. Alternatively, a proven track record in performance optimizations for deep learning training or inference systems, high-performance computing, or cloud computing environments. Expertise in benchmarking tools and methodologies, with demonstrated skill in developing and implementing targeted microbenchmarks. Solid understanding of performance analysis tools and techniques; experience with performance simulators is highly desirable. Proficiency in programming languages such as C, C++, and Python. Strong ability to work within large, complex, and unfamiliar software repositories. NVIDIA is a technology leader, renowned for innovation and excellence. Our team thrives on creativity, determination, and a drive to solve complex problems. We seek individuals ready to push boundaries and transform the future. By joining NVIDIA, you will help advance agentic AI systems and shape a new era of computing, making a real impact at the cutting edge. If you’re inspired to grow and lead in groundbreaking advancements, we invite you to join our dynamic and visionary team. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid

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Listed on workday · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.