> 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, Physical AI Cloud Canonical URL: https://nextmove.md/fde/jobs/7b345337fa7318b7 NVIDIA posts a senior FDE role to integrate and configure the product, remote, hiring in California, at $152,000–$287,500 base, above the senior FDE median of $190,000 across 1,864 postings with pay. NVIDIA is hiring a Senior Solutions Architect to help enterprises deploy and accelerate Physical AI workloads—robotics simulation, synthetic data generation, training, and inference—at scale. Read from the employer’s posting on November 8, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen Aug 10, 2026 · open on Workday as of Nov 8, 2026 **$152,000–$287,500** *annualized* Remote, hiring in California Full-time NVIDIA is hiring a Senior Solutions Architect to help enterprises deploy and accelerate Physical AI workloads—robotics simulation, synthetic data generation, training, and inference—at scale. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F7b345337fa7318b7&placement=top) - [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Physical-AI-Cloud_JR2022795) 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–$288K Above the median Midpoint $220K · median $190K This job $152K to $288K. 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 **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Configuration only - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** Solution Architecture or Infrastructure Engineering Background - **Software 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 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 - **Work arrangement**: Remote - **Remote work restrictions**: US, CA - **Employment type**: Full-time ## More like this [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 [Thatch](https://nextmove.md/fde/companies/thatch) ### [Partner Engineer](https://nextmove.md/fde/jobs/f0e7fcf68f87dedb) Austin, TX · New York, NY · +1 more · US remote Remote 11d ago $160,000–$195,000 [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 - [Other jobs at NVIDIA (30)](https://nextmove.md/fde/companies/nvidia) ## The job description from NVIDIA We're building a group of innovators to assist enterprises in deploying and accelerating NVIDIA’s three computer workloads for Physical AI. These include robotics simulation, synthetic data generation, multi-step model training, and inference, all on a large scale! We are seeking a hands-on Solutions Architect with deep expertise in backend infrastructure, inference and cloud-native applications to design and scale Kubernetes-native environments for distributed Robotics workloads. This role offers an outstanding chance to build within the rapidly growing field of Robotics AI & Simulation. You’ll work closely with our product management, engineering, and business teams to drive the adoption of NVIDIA's groundbreaking Physical AI technologies with our key ecosystem partners! ### What you’ll be doing - Help partners build scalable, observable, GPU-accelerated Physical AI pipelines through agentic workflows, cloud-native technologies, and NVIDIA frameworks such as OSMO. - Support development of Physical AI data factories for data ingestion, preprocessing, annotation, filtering, synthetic data generation, training, simulation, and evaluation. - Develop a deep understanding of robotics workload scaling and translate customer requirements into optimized cloud-native architectures, improving scheduling, cost, storage access, networking, and GPU utilization across hybrid infrastructure. - Accelerate distributed inference using NVIDIA technologies such as NIM, TensorRT-LLM, vLLM, and SGLang. - Collaborate with business, engineering, and product teams while providing technical guidance and mentorship to customers implementing Physical AI at scale. ### What we need to see - BS in Computer Science, Computer Engineering, or a related field, or equivalent experience. - 5+ Years of experience in Solution Architecture or Infrastructure Engineering, advancing AI/ML systems from proof of concept to production on private/public cloud environments. - Experience with scaling Robotics workloads in one or more areas, such as multimodal model training, inference, robot learning and simulation, large scale data processing and generation. - Strong hands-on experience designing, deploying, and operating Kubernetes-based platforms for distributed GPU and AI workloads. - Expertise in networking (DNS, LB, TCP/IP, firewalls), storage technology, workflow orchestration softwares (Airflow, Argo, etc), modern DevOps practices (GitOps, IaC, Observability), and orchestrating efficient GPU workloads - Excellent communication skills to convey technical concepts to diverse audiences. ### Ways to stand out from the crowd - Hands-on experience with robotics frameworks (e.g., ROS2) and NVIDIA simulation and AI platforms such as Isaac Lab, Isaac Sim, GR00T or Cosmos. - Previous exposure to large scale Robotics data curation, annotation, filtering pipelines, including the use of AI models for data labeling. - Experience deploying NVIDIA inference technologies (Dynamo, NIM, Triton, vLLM) using acceleration techniques like quantization. - Proficiency using and developing agentic workflows to accelerate software development, infrastructure automation, troubleshooting, and deployment workflows. - Broad technical expertise across networking, compute, and storage systems (e.g., S3, NFS, Lustre), with hands-on experience building and debugging APIs (REST, gRPC). 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 for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 14, 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--Physical-AI-Cloud_JR2022795) ## 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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