• Architect automated workflows for supporting deliverables to multiple cross functional teams
• Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL
• Improve quality of existing tools and flows used by the team

Software Engineering, Develop Methodologies, Computer Graphics, Gaming, GPU (Graphics Processing Unit), Parallel Computing, Power Amplifier, Human Intelligence (HUMINT), Machine Learning, RTL Design, The NVIDIA Clocks group is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role., * BS or MS (preferred) degree or equivalent experience in CE or EE

• At least 3+ years of work experience
• Strong coding skills in C++
• Good understanding of ASIC Design and understanding of Verilog RTL
• Strong interpersonal and collaboration skills.

Ways to stand out from the crowd:

• Prior experience in RTL design (Verilog), verification and synthesis.
• Proficiency in C++, Perl, Python, Make scripting.
• Knowledge of Clocks/Resets design and verification

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked 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 opportunities that are hard to pursue, that only we can tackle, 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.