# Senior Solutions Architect, First Time Deployment Validation - NVIS

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

Canonical page: https://career.thegoodapps.co/jobs/6227e1ff-7d81-468b-9148-430fff250084

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

- Employment type: full time
- Seniority: Senior
- Salary: 148000 – 235750 USD per year

## Summary

This role involves validating NVIDIA's AI infrastructure systems through first-time deployment, running benchmarks and workloads on multi-GPU clusters to identify and resolve performance issues before customer handoff. It suits experienced systems engineers who combine deep Linux and HPC expertise with practical AI/ML infrastructure knowledge and enjoy collaborating across hardware, software, and product teams to operationalize large-scale AI systems.

_Our summary, not NVIDIA's wording._

## Skills named

Bash (Scripting), Benchmarking, Linux, Python, PyTorch, TensorFlow

## Required

- Bachelor's degree or equivalent in Computer Science, Mathematics, Engineering, Physics, or related field
- 6+ years managing Linux-based systems in HPC, distributed systems, or AI/ML environments
- Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters
- Practical knowledge of NCCL
- Understanding of collective communication patterns (AllReduce, AllToAll)
- Familiarity with LLM training and/or inference workflows using PyTorch or TensorFlow
- Proficiency with Python and Shell/Bash scripting
- Experience with benchmarking (design, execution, and interpretation)
- Comfortable interpreting observability data (metrics, logs, dashboards) for troubleshooting
- Strong cross-functional communication skills

## Nice to have

- Experience with AI factory or large-scale AI infrastructure build, deployment, or operations
- Background in HPC performance engineering, SRE, or GPU-accelerated systems performance analysis
- Familiarity with observability stacks (metrics/monitoring, logging, tracing systems) for large distributed systems
- Experience building automation and CI-style pipelines for benchmark validation at scale
- Demonstrated drive to use AI to solve practical problems and guide data-driven decisions

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--First-Time-Deployment-Validation---NVIS_JR2021226