Implementation Methodology Engineer - GPU

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 136,000 - 265,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an Implementation Methodology Engineer to join the VLSI team in Santa Clara, CA. You will own front-end design implementation methodologies, including synthesis, formal equivalence checking, and flow automation, to improve power, performance and area on critical designs.

You will collaborate with logic and physical designers and EDA vendors, providing tool support and developing new solutions.

Qualifications

• BS or MS in Electrical or Computer Engineering or related field.
• 4+ years in logic design implementation or physical design implementation.
• Deep understanding of optimization trade-offs for area, timing and power.
• Strong knowledge of physical design flows including synthesis, placement, routing and logic restructuring.
• Power user of EDA tools from Synopsys (DC/FC) and Cadence (Genus/Innovus).
• Strong debugging and collaboration skills.

Responsibilities

• Own front-end design implementation methodologies (synthesis, formal-equivalence-checking) and flow automation.
• Collaborate with logic designers, physical designers and EDA vendors to improve power, performance and area.
• Provide tool support and develop new flows and solutions.

Skills

Logic design implementation

Physical design implementation

EDA tools

Education

BS/MS in Electrical/Computer Engineering

Tools

Synopsys DC/FC

Cadence Genus/Innovus

Job description

We are looking for an Implementation Methodology Engineer to join NVIDIA 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. Use NVIDIA implementation flows and EDA tool expertise to improve power, performance and area on NVIDIA's most critical designs. You will collaborate with logic designers, physical designers and EDA vendors to solve exciting implementation issues and develop new solutions. Provide support for EDA tools and flows.

What we need to see

• BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience).
• 4+ years of experience in logic design implementation and/or physical design implementation
• Deep understanding of logic optimization techniques and relative area, timing, and power trade-offs
• Strong understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc.
• Should be a power user of synthesis and/or place and route EDA tools from Synopsys (DC/FC), Cadence (Genus/Innovus)
• 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 experience in physical implementation
• Proficiency in 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.

Come, join NVIDIA VLSI team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Robotics and Autonomous Driving, Gaming and High Performance Computing.

#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. 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.