> 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. # Senior Solutions Architect, AI Inference Canonical URL: https://nextmove.md/fde/jobs/d22e034dd514242b NVIDIA posts a senior FDE role to integrate and configure the product, remote, hiring in California, at $184,000–$356,500 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Senior Solutions Architect on NVIDIA's ISP team, driving adoption of full-stack inference technologies (Dynamo, TensorRT-LLM, vLLM) with strategic partners. Read from the employer’s posting on November 8, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen Aug 22, 2026 · open on Workday as of Nov 8, 2026 **$184,000–$356,500** *annualized* Remote, hiring in California Full-time Senior Solutions Architect on NVIDIA's ISP team, driving adoption of full-stack inference technologies (Dynamo, TensorRT-LLM, vLLM) with strategic partners. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fd22e034dd514242b&placement=top) - [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Inference-Service-Providers_JR2023533) 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 $184K–$357K Above the median Midpoint $270K · median $190K This job $184K to $357K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Integrates and configures it Balance **Mixed** Project stages 1. Pre-sales 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 - **6+ years** Solutions Architecture (or Solution Engineering, Forward-Deployed Engineering, or similar) driving customer engagements to deploy distributed systems - **2+ years** AI workloads on Kubernetes Background - **Software engineering** - **Solutions and customer engineering** - **Forward deployed engineering** ### Do you meet what the posting states? The posting asks for 2+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? 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 · US remote - **Work arrangement**: Remote - **Remote work restrictions**: US - **Employment type**: Full-time ## More like this [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior Solutions Architect, AI Inference](https://nextmove.md/fde/jobs/5ff50f4b70982a72) US · city not listed 2w ago $184,000–$356,500 [Figma](https://nextmove.md/fde/companies/figma) ### [Field Engineer](https://nextmove.md/fde/jobs/920ea649ea394e40) San Francisco, CA · New York, NY Remote 2mo ago $140,000–$296,000 [Commure](https://nextmove.md/fde/companies/commure) ### [Senior Forward Deployed Engineer](https://nextmove.md/fde/jobs/cd14e4328d349710) Mountain View, CA Remote 5mo ago $180,000–$230,000 - [Other jobs at NVIDIA (30)](https://nextmove.md/fde/companies/nvidia) ## The job description from NVIDIA We are looking for an architect that wants to change how the AI inference industry works. With agent adoption taking off and GPUs in shortage, NVIDIA has a key part to play in solving the technical challenges that scale token generation on finite resources. Our ISP (inference service provider) team supports some of our most strategic partners who rely on SA support to push the boundaries of performance, squeezing value and reliability out of vast NCP (NVIDIA Cloud Partner) infrastructure. You’ll master full-stack inference with every SOTA bell and whistle, from smarter routing to rack-scale disaggregation down to kernel optimization. You’ll write reference architectures adopted by 10k+ gpu clusters. You’ll teach C-level executives, distinguished engineers and datacenter developers how to scale their businesses, systems and infrastructure. This role covers a wide range of technical skills and the ability to lead high-stakes conversations with partners. Nobody can cover everything! For that reason, we're looking for someone with fast-learning technical agility and comfort with partners or customers. We’ll build a leading tech stack internally, then bake all our best tricks into a reference architecture and guide the industry to follow in our footsteps. ### What you'll be doing - Work with inference partners who build cutting-edge inference services, teach them the value of our stack and bring back product insights that benefit the whole industry. - Build and operate inference recipes with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency. - Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference. - Evangelize devops best-practices for such as managing kubernetes clusters, configuring compute fabrics, and observability. - 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 - 6+ Years in Solutions Architecture (or Solution Engineering, Forward-Deployed Engineering, or similar) driving customer engagements to deploy distributed systems, including 2+ years with AI workloads on Kubernetes. - Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving. - Deep knowledge of modern inference best practices including disaggregated serving, multi-tier KV cache management, speculative decoding, quantization and custom inference kernels. - Hands-on full-stack agent design with modern sandboxing, memory and retrieval systems with evaluation, skill design and governance. - BS in CS/Engineering or equivalent experience. ### Ways to stand out from the crowd - Prior experience deploying NVIDIA inference technologies such as Dynamo, NIXL and Grove. - Experience with model customization techniques such as SFT, DPO, GRPO, RLVR and corresponding data curation techniques. - Contributions to open-source projects relevant to the above. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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/Senior-Solutions-Architect--Inference-Service-Providers_JR2023533) ## 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. 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