Physical Design Methodology and DevOps Engineer

Nvidia • Santa Clara, CA

70d • $108,000 - $184,000

About The Position

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's motivated by phenomenal technology—with incredible people with a dynamic workforce! Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are now looking for a Physical Design Methodology and DevOps Engineer! This is a DevOps role where you will be both writing software to manage EDA tools and will be seeing to its successful operation.

Requirements

• Bachelor's or Master's degree in Computer Science or Computer Systems Engineering (or equivalent experience).
• 3+ years of software development and operations experience, or related fields.
• Programming and scripting languages, such as perl, python, C, Javascript.
• Knowledge and experience with distributed systems.
• Web technologies and programming.
• A strong understanding of linux systems.

Nice To Haves

• Experience in a DevOps environment and Agile Methodology.
• Familiarity with MSSQL/mysql/Perl.
• Experience with Elasticsearch / Kibana / Vega.
• Experience with Static Timing Analysis / VLSI Physical design.
• Debugging experience for Relational databases and No-SQL datastores as well as experience debugging and administering linux systems.

Responsibilities

• Designing and supporting mechanisms for coordinating and maintaining a large number of semiconductor design tasks across multiple datacenters.
• Building web interfaces to configure, launch and analyze tools.
• Debugging and improving services on platforms ranging from web browsers to containerized services to bare metal Linux hosts.
• Data mining and analyzing large datasets of job execution telemetry and tool Quality of Result to improve flows.
• Helping to invent the next generation in semiconductor design methodology.
• Optionally, contributing to the physical design of GPU/SoC products.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree