> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Solutions Architect, Inference Deployments

Canonical URL: https://nextmove.md/fde/jobs/04939b40f7e54618

NVIDIA posts a FDE role to build what the customer runs in Santa Clara, CA, at $152,000–$241,500 base, level with the senior FDE median of $190,000 across 1,864 postings with pay. NVIDIA is building a team to roll out and enhance AI inference solutions at scale, leveraging GPU technology and Kubernetes. Read from the employer’s posting on November 8, 2026.

- [NVIDIA](https://nextmove.md/fde/companies/nvidia)

First seen Apr 22, 2026 · open on Workday as of Nov 8, 2026

**$152,000–$241,500** *annualized* Santa Clara, CA Full-time

NVIDIA is building a team to roll out and enhance AI inference solutions at scale, leveraging GPU technology and Kubernetes.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F04939b40f7e54618&placement=top)
- [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Inference-Deployments_JR2014105)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$152K–$242K Level with the median

Midpoint $197K · median $190K

This job $152K to $242K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Configuration only

- **Builds for**: Both

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** Solutions Architecture

Background

- **Solutions and customer engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Santa Clara, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Santa Clara, CA

- **Employment type**: Full-time

## More like this

[NVIDIA](https://nextmove.md/fde/companies/nvidia) Integrates and configures it

### [Solutions Architect, Inference Deployments](https://nextmove.md/fde/jobs/ee2fe300c19a3dc3)

Santa Clara, CA 2w ago

$152,000–$287,500

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### [Member of Technical Staff, Cloud Software Engineer](https://nextmove.md/fde/jobs/ec956d3e06abdc40)

San Francisco, CA On-site 2mo ago

$175,000–$240,000

- [Other jobs at NVIDIA (30)](https://nextmove.md/fde/companies/nvidia)

## The job description from NVIDIA

We’re forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA’s GPU technology and Kubernetes. As a Solutions Architect focused on inference, you’ll collaborate closely with our engineering, DevOps, and customers to develop enterprise AI solutions. Together, we'll deliver generative AI to production!

### What you'll be doing

- Build inference pipelines with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency.
- Collaborate with DevOps teams to orchestrate disaggregated inference using Kubernetes for complex workloads.
- Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference.
- Provide mentorship and technical leadership to customers and internal teams, guiding them through the deployment of disaggregated inference systems and resolving complex issues.

### What we need to see

- 5+ Years in Solutions Architecture with a proven track record of deploying distributed systems and AI inference workloads on Kubernetes.
- Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving.
- GPU orchestration using NVIDIA GPU Operator, NIM Operator, and Multi-Instance GPU (MIG) partitioning.
- Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX).
- Demonstrated success in tuning large language models for low-latency inference in enterprise environments.
- BS in CS/Engineering or equivalent experience.

### Ways to stand out from the crowd

- Prior experience deploying NVIDIA inference technologies such as Dynamo, NIM, NIXL and Grove.
- Deep understanding of transformer neural network, and inference acceleration technologies like quantization, speculative decoding, WideEP etc.
- NVIDIA Certified AI Engineer or similar credentials.
- Contributions to open-source projects including NVIDIA Dynamo, vLLM, KServe, or SGLang.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

[View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Inference-Deployments_JR2014105)

## About NVIDIA

Full-stack accelerated computing and AI infrastructure company building GPUs, CPUs, networking, systems, software and platforms for data centers, gaming, professional visualization, automotive and robotics.

Public · 5000+ people

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