About the role
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!
Our team is responsible for development and support of infrastructure tools used by design engineers for build and verification of architectural, rtl, and gate level designs. As a software engineer, you will craft highly efficient software to automate and facilitate chip design and verification processes.
What You'll be Doing:
Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide.
Develop software tools in C++/Golang to analyze and construct chip designs described in C++, Verilog or domain-specific languages (DSLs).
Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.
Optimize the daily workflows of the world's top chip modelers and designers.
What We Need to See:
BS (or equivalent experience) and 5+ years of software development experience., MS (or PHD) preferred.
Experienced with C++ or Golang, Unix/Linux.
Solid understanding of algorithms, computer architecture and computer science theory
Experienced with VLSI frontend design and verification
Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements
Ways to stand out from the crowd:
Good architecture and RTL design knowledge
Strong expertise in modern C++, compiler, build systems, and database.
Experienced with static and dynamic code analysis tools
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills & Tags
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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