Chip Architect jobs at Nvidia

What you’ll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

• Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

• Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.

• Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.

• Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.

• Analyzing and developing solutions for customer performance issues for both AI and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 4+ years of engineering(performance/system/solution)experience.

• Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.

• Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.

• Effective engineering program management with the capability of balancing multiple tasks.

• Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Ways to stand out from the crowd:

• Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).

• Familiarity with deep learning architectures and the latest LLM developments.

• Background with NVIDIA hardware and software, performance tuning, and error diagnostics.

• Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.

• Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.

What You'll Be Doing:

• Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.

• Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.

• Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.

What We Need To See:

• 4+ years of experience in cloud computing and/or large-scale AI systems.

• A BS in EE, CS, Math, or Physics, or equivalent experience.

• A proven understanding of cloud computing and large-scale computing systems.

• Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.

• Passion for machine learning and AI, and the drive to continually learn and apply new technologies.

• Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.

Ways To Stand Out From The Crowd:

• Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.

• Knowledge of Azure cloud and AzureML services.

• Experience with CUDA programming and optimization.

• Familiarity with NVIDIA networking technologies such as Infiniband.

• Proficiency in Linux, Windows Subsystem for Linux, and Windows.

What you’ll be doing:

• Collaborating with business development in guiding the customer through the solution adoption process for our Metropolis, Isaac and IGX AI SW platforms, GPU Computing and IGX/Jetson, being responsible for the technical relationship and assisting customers in building creative solutions based on NVIDIA

• Be an industry leader with vision on integrating NVIDIA technology into intelligent machines’ architectures

• You will engage with customers to develop a keen understanding of their goals, vision and plans, as well as technical needs – and help to define and deliver high-value solutions that meet these needs

• Train customers on the adoption of our AI platforms, develop and optimize proof of concepts using the Nvidia robotics and Metropolis platforms as well as the Jetson/IGX SDKs

• Establish positive relationships and communication channels with internal teams

What we need to see:

• BS or MS in Electrical Engineering or Computer Science or equivalent experience

• 8+ years of work-related experience in a high-tech electronics industry in a similar role as a systems or solution architect

• AI practitioner experience

• C, C++, and Python coding

• Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects

Ways to stand out from the crowd:

• NVIDIA GPU development experience

• Experience with Omniverse, ISAAC and Metropolis

• Experience with generative AI on Jetson or IGX, RIVA, VSS

What you’ll be doing:

• Pre-silicon Power Estimation: Model and estimate CPU power at C-model, RTL, and netlist stages using industry-standard tools.

• Power Optimization: Identify inefficiencies and drive design improvements in collaboration with architects, RTL designers, and PD engineers.

• Test Development: Create targeted power characterization tests (e.g., peak power, di/dt stress patterns) for both simulation and silicon.

• Silicon Validation: Measure CPU power and performance in the lab; correlate silicon results with pre-silicon estimates to refine models.

• Cross-functional Collaboration: Partner with multiple engineering disciplines to achieve optimal power efficiency without compromising performance.

What we need to see:

• BS/MS in EE, CE, or CS or equivalent experience.

• 3+ years of experience working in ASIC power measurement and optimization.

• Strong understanding of leakage and dynamic power in VLSI circuits

• Experience with RTL and netlist power analysis tools such as Power Artist, PrimeTime PX, or equivalent.

• Familiarity with CPU microarchitecture (CPU pipeline design, out-of-order execution, cache hierarchy, branch prediction) and understanding of microarchitectural power model.

Ways to stand out from the crowd:

• Proficiency in Python for automation and data analysis.

• Experience with DVFS, clock gating, power gating, and multi-voltage domain design.

• Knowledge of lab instrumentation for power measurement.

• Strong communication skills for cross-team technical discussions.

What you’ll be doing:

• Introduce and integrate NVIDIA networking products with Hyperscalers

• Build customers’ trust and understand their unique needs

• Address sophisticated and obvious customer issues alongside engineering and support teams

• Conduct technical meetings for project/product details, feature discussions, and debugging sessions

• Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms

• Develop Proof of Concept (PoC) solutions for critical business needs

• Prepare and deliver technical presentations and workshops to customers

What we need to see:

• Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)

• 12+ years of Solutions Engineering or similar engineering experience

• Passion to enhance customer experience

• Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture

• Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance

• Experience in configuring, testing, and troubleshooting in networking environments

• Ability to work independently and manage multiple priorities

• Excellent communication skills to act as a trusted advisor to customers

Ways to stand out from the crowd:

• Experience working with custom network OS (such as SONiC, FBOSS, or similar)

• Experience working with or calling on Cloud Service Providers (e.g., Meta)

• Exemplify a unique combination of strong interpersonal skills and technical proficiency

• Showcase in-depth knowledge of RDMA, including performance testing and AI benchmarking

• Background with NVIDIA hardware and software

What you'll be doing:

• Invent and innovate low power architectural/RTL solutions and drive features and roadmaps for improving efficiency of our Desktop, Notebook and server platforms.

• You'll work cross functionally with other System/SW Architects, and Product engineers to understand energy efficiency improvements.

• Architect, Design and Verify features to help improve battery life and energy efficiency.

• Participate in architectural studies, tradeoff analysis, micro-architecture, and design, planning, verification, and validation efforts.

• Contribute to the development of techniques to develop highly accurate power and performance models for our GPUs, CPUs, Switches, and platforms.

• Drive performance vs power analysis to enable management/marketing with meaningful product decisions and customer interaction.

What we need to see:

• MSEE/MSCE (or equivalent experience) and 4 + years’ proven experience or PhD, with a specialization in Low Power Architectures or energy efficient design techniques is essential.

• Design experience with industry tools such as SystemVerilog RTL, UVM, Verdi, UPF, VCS NLP, Python, C++ are essential.

• Cross-discipline experience with understanding of HW/SW/System level interactions in important power efficiency scenarios.

• Solid understanding of advanced digital and analog circuits is highly desirable.

• Exposure to lab setup including power measurement equipment such as scope/DAQ. Your ability to analyze board-level power issues like supply voltage, over-current etc is helpful.

• Strong interpersonal and organizational skills and the ability & desire to work as a phenomenal teammate

Ways to stand out from the crowd:

• Background with HW/SW interactions

• Experience with Power what iffs and tradeoffs

• Experience in Clock tree power reduction and CG strategies.

• Background with RAM power optimization.

• Experience with directed and random functional testing including writing test plans and directed or random diagnostics.

What you’ll be doing:

• As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system

• You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs

• Create functional and performance models, often in C++, along with test plans to validate the features you design

• Actively support post-silicon validation activities

• Constantly learning and growing!

What we need to see:

• BS or MS in compute architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience

• 8+ years of experience crafting production code in C or C++

• Course workor industry experience in Computer Architecture, Operation systems, and/or system architecture

Ways to stand out from the crowd:

• Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar)

• Experience with scripting languages such as Perl

• Understanding of modern security constructs and/or encryption

• Knowledge of RiscV architecture and microcode development