Architect - Tegra jobs at Nvidia in India, Bengaluru

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'll be doing:

• Performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).

• Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system.

• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.

• Understand key performance usecases for the product. Develop workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications running on these products.

• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.

• Develop required infrastructure including performance simulators, testbench components and analysis tools.

What we need to see:

• BE/BTech or MS/MTech, or equivalent experience in relevant area, PhD is a plus.

• 3+ years of relevant experience dealing with system level architecture and performance issues.

• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, CPU architecture, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.

• Solid programming (C/C++) and scripting (Bash/Perl/Python) skills. Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.

• Strong debugging and analysis (including data and statistical analysis) skills, including use of RTL dumps to debug failures.

• Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus.

• Excellent communication and organization skills.

• Ability to work in a global team environment.

Ways to stand out from the crowd:

• Strong background in System Level Performance aspects for Graphics and High Performance Computing.

• Exposure to GPU application programming interfaces like CUDA, OpenGL, DirectX.

• Expertise in data analysis and visualization.

What you will be doing:

• Contribute to advancing GPU Streaming Multiprocessor (SM) Architecture, Simulators, compilers and testing infrastructure.

• Understand and model in architecture compiler, features for AI and graphics GPU SM.

• Develop test plans and testing infrastructure for next generation GPU SM.

• Develop tools to validate performance models and verify functional models.

What we need to see:

• A Masters/Bachelor’s degree in CS or Math, with 3+ years of relevant experience in Compilers, Parallel programming, computer architecture or related field.

• Strong programming ability in C, C++, Python.

• Strong understanding of Compiler and data structure is a must.

• Ability to work with teams spanning both hardware and software boundaries.

Ways to stand out from the crowd:

• Experience in GPU compilers and architectural exploration.

• Solid programming skills and CPU core architecture background.

• Understanding of ISA of CPU (GPU ISA will be a big plus)

What you'll be doing:

• System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).

• Work on hardware models of different levels of abstraction, including performance models, RTL test benches ,emulators and silicon to analyze performance and find performance bottlenecks in the system.

• Understand key performance use-cases of the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.

• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.

• Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools.

• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.

What we need to see:

• BE/BTech, or MS/MTech in relevant area, PhD is a plus, or equivalent experience.

• 3+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures.

• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.

• Expert hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.

• Strong debugging and analysis (including data and statistical analysis) skills, including use for RTL dumps to debug failures.

• Hands on experience developing performance simulators, cycle accurate/approximate models for pre-silicon performance analysis is a strong plus.

What you'll be doing:

• Performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).

• Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators, to find performance bottlenecks in the system.

• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.

• Understand key performance usecases or the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.

• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.

• Develop required infrastructure including performance simulators, testbench components and analysis tools.

What we need to see:

• BE/BTech or MS/MTech in relevant area, PhD is a plus.

• 2+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures.

• Demonstrated history of technical leadership.

• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.

• Expert hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.

• Strong debugging and analysis (including data and statistical analysis) skills, including use for rtl dumps to debug failures.

What you'll be doing:

• In the key role of a System Architect in the Architecture team, the candidate will be responsible for invention, development and solving state of the art boot, power management and security architecture problems.

• The profile includes definition and specification of System on Chip Boot sequences from reset, wake up from deep sleep states, analyzing platform security considerations, evaluating HW and SW security attacks and suggesting mitigations that fit the SoC Architecture.

• Define BootROM software flows, design boot staging and key association choices, and apply crypto algorithms to a secure boot sequence for the platform.

• You would be required to specify complex hardware and software interactions, perform architecture validation and use-case analysis towards meeting the requirements of various products.

• The role may need you to architect power management hardware, state machines to sequence sleep states, order various units in power up and shutdown usecases for the SOC.

• The role may also include platform modeling of the above interactions in addition building / debugging / maintaining the models, and developing validation tools for next generation secure boot software.

• Work with multiple multi-functional teams in the organization including but not limited to Architecture, Security, ASIC design, SW, product/marketing, and customer facing teams.

What we need to see:

• Bachelors in Electrical Engineering or Computer Science (Masters degree or higher preferred).

• 5+ years of experience

• Past experience in C++ development, embedded software, and at least some exposure to system level design.

• Processor architecture, system bus architecture, ARM processor-based architecture fundamentals, strong software design fundamentals, strong hardware architecture fundamentals.

• Exposure to security architecture and applied cryptography is a plus.

• Exposure to low power SOC architecture is a big plus

• Strong analytical skills and aptitude, eager to tackle complex problems.

• Good