About the role
NVIDIA NVLink™ Fusion delivers industry-leading AI scale-up and scale-out performance with NVIDIA technology plus semi-custom ASICs or CPUs . NVIDIA is seeking a Senior Custom SOC/IP Verification Engineer to verify the next generation NVLink Fusion semi-custom silicon. We are looking for special individuals with passion and desire to deliver innovative products. If you are a motivated individual that understands how complex SOC and IPs are built, and understand various development cycles, this is your place to be.
What you'll be doing:
Responsible for ASIC design verification for various IPs at IP and SOC levels
Responsible for reference model development and integration
Participate in IP/SOC architecture, micro-architecture reviews, interface with Architecture, SW/FW, Design, and Modeling to work out comprehensive first-time right verification plans
Contribute to the innovative verification methodology development, functional and code coverage closure.
Work on the complex TB creation, direct/random tests and drive the function and coverage to closure.
Contribute to the development of silicon and platform verification strategy and methodology
Triage the fail on SOC level with SOCV/EMU/SW team
Collaborate with IP development teams, and participate in, and support soft and hard IP identification, selection, and IP licensing
What we need to see:
Clear understanding of complexities involved with various design verification tools, including Synopsys VCS or Cadence Xcelium Simulator, Verdi, JasperGold or VC Formal
Track record of first-pass success in ASIC Development
B.S. or M.S. degree in Computer Engineering or Electrical Engineering
Experience working across multiple projects and adjusting priorities in partnership with stakeholders
5+ years of experience owning processing ASIC, IP or SoC design verification
Experience managing and delivering complex mixed language UVM and C++ testbenches
Ability to interpret functional specs and creating comprehensive test plans
Ability to write directed and constraint random test to achieve coverage-driven verification closure
Strong programming skills in C++/SystemC. Familiar with the GDB debugging.
Experience developing tools and infrastructure using Perl or Python
Ways to stand out from the crowd:
Hands-on background with AMBA protocols such as AXI, ACE, CHI, etc.
Hands-on experience with complex subsystems in new technologies like ARM CPU complex, LPDDR, HBM, GPU’s, UCIE, PCIE or Network on chip and with performance verification
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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