About the role
ASIC-PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow. Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world.
What You’ll Be Doing
Invent and optimize new methods for increasing chip frequency while minimizing power consumption across a suite of internal optimization tools.
Improve algorithms (in C++) for IR drop optimization, simulation
As with any software engineering team, we do write a lot of code, but this is broader than a typical CAD or EDA role. Instead, we as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment.
What We Need To See
BS, MS, PhD in Electrical Engineering or Computer Science or equivalent experience
Minimum 2+ years of relevant experience in CAD software and VLSI hardware design
Strength in both CAD software and VLSI design
Understanding of VLSI IR drop optimization or simulation and related concepts, including constraints, corner, CCSP, FSDB etc.
Demonstrated ability in software development using C++
Strong communication and interpersonal skills
Ways To Stand Out From The Crowd
Familiarity with RedHawk and typical design flows written in Perl, Tcl, and Python.
C++14 or newer experience, such as lambdas and concurrency
Experience in high-performance software design including multithreading, distributed computing, efficient memory, and I/O use, etc.
Experience in IR drop optimization, calculation
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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