Senior CPU Implementation Methodology Engineer

We are looking for a Senior CPU Implementation Methodology Engineer to join our VLSI team! If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!

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 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.

What you’ll be doing:

• You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support of industry-leading CPU designs.

• Focus on generating new ideas, proving those, putting together flows/methodologies around those, and incorporating those in NVIDIA’s implementation flow for CPU designs.

• Use NVIDIA implementation flows and EDA tool expertise to improve PPA (power, performance and area) on CPU designs by collaborating with logic designers, physical designers and EDA vendors

• Provide support for EDA tools and flows

What we need to see:

• BS or MS (or equivalent experience)

• 6+ years of CPU design implementation experience

• Deep understanding of logic optimization techniques and relative area, timing, and power trade-offs

• Should be a power user of synthesis and/or place and route EDA tools from Synopsys (DC/FC), Cadence (Genus/Innovus)

• Strong understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc.

• Good debugging and problem-solving skills

• Strong interpersonal skills along with the ability to work in a dynamic team

Ways to stand out from the crowd:

• Prior CPU experience in physical implementation methodology

• Proficiency in Perl, Python, Tcl, Make scripting

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you.