# Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/5871e691-049f-4c65-98cd-ed6046f79be3

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 152000 – 287500 USD per year

## Summary

NVIDIA is seeking a distributed systems engineer to design and operate automation platforms for their GPU and CPU compute infrastructure supporting chip-design workloads. The role combines software engineering with infrastructure operations, requiring expertise in Linux systems, large-scale deployment automation, and reliability engineering across geographically distributed environments.

_Our summary, not NVIDIA's wording._

## Skills named

Go, Kubernetes, Linux, Networking, Python

## Required

- 5+ years of software or infrastructure engineering on large-scale production systems
- Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or equivalent experience
- Strong programming in Go or Python with solid grasp of data structures, algorithms, testing, and software design
- Experience automating distributed systems and large fleets of Linux compute nodes
- Understanding of performance, security, reliability, fault tolerance, state management, and data consistency in complex systems
- Experience with infrastructure automation, software deployment, observability, and operational recovery
- Strong communication and cross-team collaboration skills
- Systematic problem-solving approach with ownership mindset and focus on reducing operational toil

## Nice to have

- Experience designing or operating large-scale EDA or high-performance computing infrastructure
- Deep knowledge of Linux, GPU/CPU server architecture, networking, storage, and bare-metal lifecycle management
- Hands-on experience with Slurm, LSF, Kubernetes, or Bright Cluster Manager
- Experience supporting EDA applications, license-management systems, high-throughput batch workloads, or semiconductor design workflows
- Experience building automated health checks, break-fix remediation, firmware/OS upgrade workflows, or node-provisioning systems
- Track record of improving infrastructure reliability, utilization, and recovery time through production automation
- Experience operating infrastructure across multiple data centers or heterogeneous hardware environments

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Remote/Senior-Software-Engineer---Distributed-Systems-Engineer--EDA-Infrastructure_JR2024825-1