System Software Engineer, Distributed Systems

NVIDIA•Us, CA

59d

About The Position

We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms that supercharge their everyday work. From databases to web applications, build automation to machine learning, and on-prem infrastructure to cloud workloads, our team handles it all. Want to know how NVIDIA stays at the top of the pack? Come join us to find out! What you will be doing: You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms. Design, build, deploy, and improve highly scalable systems Translate high-level requirements into actionable plans/deliverables Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output Convert legacy codebases into modern powerhouses infused with industry best-practices Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

Requirements

B.S. CS/EE (or equivalent experience)
5+ years developing large-scale software applications in Go and Python
Solid computer science fundamentals in algorithms/data structures/complexity analyses
Understand processes, synchronization, locks, concurrency, and load-balancing
Excellent grasp of distributed systems and compute abstractions
Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Nice To Haves

5+ years in an enterprise engineering environment, shipping at scale
Experience in partitioning and optimizing complex interconnected systems
Understand filesystems, job-scheduling, and inter-process signaling
Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills
Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively

Responsibilities

Design, development, and delivery of core components of our next-generation VLSI productivity platforms.
Design, build, deploy, and improve highly scalable systems
Translate high-level requirements into actionable plans/deliverables
Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output
Convert legacy codebases into modern powerhouses infused with industry best-practices
Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks