Senior ASIC Engineer, Power Integrity

Job description

NVIDIA has been at the forefront of technological innovation for over two decades. Our journey began with the invention of the GPU in 1999, which revolutionized the PC gaming market, redefined modern computer graphics, and transformed parallel computing. More recently, our advancements in GPU deep learning have ignited the era of modern AI, positioning NVIDIA as a leader in this next wave of computing. We are now looking for a motivated Senior Engineer with expertise in Power Integrity, Modeling and Simulation to join our dynamic and growing Circuits Solutions Group. If you are looking for a significant and exciting role in improving the netlist and timing quality of our designs and if you are a strong self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today! What you’ll be doing: Participate in innovative Processor design in deep submicron technologies. Work as part of a global circuits team to design innovative power delivery and power management solutions. Build models of analog and digital circuits and systems in a variety of environments with different degrees of abstraction and complexity. Perform detailed block-level and system-level simulations to ensure good reliability, performance, and stability of the designs. Be a mentor/technical lead for junior team members. What we need to see: BSEE (or equivalent experience)/MS or PhD degree in Electrical or Computer Engineering with 5+ years of experience. Experience with industry-standard EDA (Cadence Virtuoso, Allegro) and simulation tools (VCS, HSpice, Spectre, Primesim, etc.). Experience modeling and simulating digital and analog circuits and systems. Experience/familiarity with Analog and Mixed Signal (AMS) simulations, as well as standard languages like Verilog and VerilogA. Ways to stand out from the crowd: Hands-on experience modeling and simulating complex power delivery networks (PDN) from die level all the way to platform level. Familiarity with other industry-standard tools such as Ansys Siwave, HFSS, Sigrity, Matlab/Simulink, Simplis, etc. Understanding of control loops and feedback systems is a plus. Proficiency in scripting language, such as, Perl, Tcl, Python, Skill, and automation methods/algorithms is a plus. We are dedicated to solving some of the world's most complex problems, from healthcare to robotics, self-driving cars to blockbuster movies, and beyond. Our work in AI and digital twins is transforming industries and profoundly impacting society. We thrive on seamless collaboration, shared success, and a commitment to diversity and individuality. Everyone at NVIDIA contributes, and everyone belongs. Join us at NVIDIA, where you will be part of an eclectic, passionate group of professionals dedicated to making a lasting impact on the world. Together, we will continue to push the frontiers of technology and create a better tomorrow.