Senior Physical Design Engineer jobs at Nvidia in India, Bengaluru

What you’ll be doing:

• Own ASIC verification of IP/Cluster for complicated designs in RTL.

• Work with HW architects and designers to make the right implementation choices.

• Interact with the Performance verification teams to augment verification through dynamic simulations and/or Formal verification techniques.

• You will work with the specifications and ensure functional and code coverage of all the RTL which you will verify.

• Partner with and enable FPGA and S/W teams to ensure that S/W is tested.

• Be involved with post-silicon verification and debug.

What we need to see:

• BS / MS or equivalent experience.

• 2+ years of design experience.

• Experience in ASIC verification of complex design units for at least one or two projects.

• Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).

• Exposure to System Verilog and UVM based methodology for ASIC verification is highly desired.

Ways to stand out from the crowd:

• Knowledge of Memory controllers or prior experience with verification of IP/clusters involving access to Memory.

• Good debugging and problem solving skills.

• Scripting knowledge (Python/Perl/shell).

• Good interpersonal skills and ability & desire to work as a part of a team.

What you'll be doing:

• Modeling and analysis of graphics and / or SOC algorithms and features

• Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models

• Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required.

• Develop tests, test plans, and testing infrastructure for newarchitectures/features.

• Mentor younger engineers and help sustain good coding practices.

• Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change

• Help develop AI based tools to increase efficiency.

What we need to see:

• Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)

• 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience

• Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)

• Computer Architecture background with experience in performance modeling with C++ and SystemC preferred

• Familiarity with Docker, Jenkins, Python, Perl

• Excellent communication and interpersonal skills and ability to work in a distributed team environment.

What you will be doing:

• Lead design and development of NVIDIA’s Assembler and Disassembler for GPU compute.

• Work on binary analysis & instrumentation features like call graphs generation, program register usage and patching of GPU binaries

• Work with GPU architecture and debugger/profiler development teams to understand their requirements and deliver new features & product improvements.

• Collaborate closely with teams developing other related components to ensure compatibility, reliability, and high-quality code generation

• Working with customers/partners to collect feedback and drive innovative ideas and features to incorporate into the product

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or related fields with 5+ years of experience in low-level system SW development and a minimum of 3 years related to assemblers, binary analysis tools, debuggers

• Good analytical and C/C++ programming skills

• Experience in any one area of compiler development including feature support, code generation and compiler infrastructure

• Understanding of Assembly Language / Processor ISA (GPU ISA not required but a plus)

• Knowledge of object file formats such as ELF and debugging formats (DWARF).

Ways to stand out from the crowd:

• Understanding of debugger / profiler tools / bintools / Linker internals, experience in binary analysis / instrumentation tools like BOLT etc.

• Usage of AI tools in everyday work like Cursor, Windsurf etc.

• Knowledge of GPU development and compute APIs such as CUDA and OpenCL

What you'll be doing:

• Enable NVIDIA Cumulus Linux on next generation ASICs.

• Define, design and develop features for NVIDIA Cumulus Linux.

• Sustain the existing deployments of NVIDIA Cumulus Linux.

• Working closely with customers to understand the pain points, new use cases, deployment strategies and come up with innovative solutions.

• Translating requirements to the SDK and ASIC Engineers for enabling end-to-end solutions.

What we need to see:

• Strong knowledge of forwarding path for L2 and L3 including concepts like ECMP etc.

• Strong and proven experience in C and Python programming.

• Worked with VxLAN and EVPN routing protocols.

• Strong knowledge in areas of QoS, ACLs and VxLAN. And working knowledge of hardware resource management (tables, TCAMs, etc).

• Battle scars from troubleshooting production network deployments.

• BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.

• 5+ years of hands on experience.

Ways to stand out from the crowd:

• Experience with Merchant Silicon for Switching/Routing.

• Contributions to SONiC, SwitchDev or Switch Abstraction Interface (SAI) projects.