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Senior Build and Release Methodology Engineer

NVIDIANVIDIA·Semiconductors

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Posted

10 days

Sponsorship

H-1B history

This company has a track record of sponsoring H-1B visas.

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About the role

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!

We are looking for a Senior Engineer for our Build and Release Methodology Group catering to our pioneering SOCs. As the SOC development becomes more complex requiring packing of more and more IPs and the need for doing more SOCs increase, we need to have a scalable infrastructure to be able to complete SOC development in fastest as well as most efficient way possible. This requires an SOC Build and IP Release infrastructure that caters to and keeps up with these ever-increasing complexities. In this position, you will work first-hand on architecting and developing this methodology. If you have real passion for methodologies and automation solutions, you will fit in great!

What you'll be doing:

  • Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner.

  • Architect and implement core build flows so as to optimize build and make it simpler and efficient.

  • Improve build, release, and integration tools and procedures.

  • Identify and develop Checks to enforce the best practices for the Build and Release guidelines.

  • Develop solutions to enable abstraction and compartmentalization for customer IPs.

  • Identify difficulties and inefficiencies in the SOC implementation process and propose ideas to solve them.

  • Support IP teams with Build and Release related issues.

What we need to see:

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

  • 4+ years of industry experience as Build and Release Engineer, Build Automation, IP integration and related areas.

  • Strong coding skills in Perl, Python, Makefile, Shell script, or other industry-standard scripting languages.

  • Excellent analytical and problem-solving skills.

  • Excellent interpersonal skills to work with multi-functional teams and collaborate with team members across sites and cultures to build consensus.

  • Background in RTL (Verilog), Verification (UVM, System Verilog) and C/C++ is a plus - Not must.

  • Experience in synthesis and physical design is a plus - Not must.

#LI-Hybrid

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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.

Synthesized from recent postings & public sources

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?

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About NVIDIA

NVDA$230.48-2.94%

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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