Physical Design Methodology and DevOps Engineer

NVIDIA • Austin, TX

1d

About The Position

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by innovation and a dynamic workforce. Today, NVIDIA is leveraging AI to define the next era of computing, with GPUs acting as the brains for various intelligent systems. The company seeks creative and autonomous individuals to join its diverse and encouraging environment. This role is for a Physical Design Methodology and DevOps Engineer, a DevOps position involving both software development for EDA tools and ensuring their 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.
• The ability to design, implement and maintain a bespoke piece of software.
• 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.
• Background 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/CPU/Networking products.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees