> 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 Hyperscalers Canonical URL: https://nextmove.md/fde/jobs/057dd9c8c44f65f7 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. NVIDIA seeks a Senior Solutions Architect to lead technical engagement with hyperscale cloud customers, driving adoption of NVIDIA's AI/ML infrastructure at massive scale. Read from the employer’s posting on November 8, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen May 13, 2026 · open on Workday as of Nov 8, 2026 **$184,000–$356,500** *annualized* Remote, hiring in California Full-time NVIDIA seeks a Senior Solutions Architect to lead technical engagement with hyperscale cloud customers, driving adoption of NVIDIA's AI/ML infrastructure at massive scale. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F057dd9c8c44f65f7&placement=top) - [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--AI-Hyperscalers_JR2017895) 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 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **8+ years** engineering experience with AI/ML-focused projects or enterprise-grade solutions Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 8+ 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? 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[What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Santa Clara, CA - **Work arrangement**: Remote - **Remote work restrictions**: California, US - **Employment type**: Full-time ## More like this [CoreWeave](https://nextmove.md/fde/companies/coreweave) ### [Senior Specialist Field Engineer - SaaS](https://nextmove.md/fde/jobs/c383682d25fbd0ee) Sunnyvale, CA · San Francisco, CA 2mo ago $182,000–$242,000 [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 [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 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by extraordinary technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale. You will work across multiple organizations within NVIDIA as well as at the customer to ensure successful and trouble-free deployments. If you would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure and are interested in the optimization and characterization of customer specific AI models and pipelines - you should apply! ### What you’ll be doing - As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure. - Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle. - Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy. Translate these insights into product requirements and innovative solutions. - Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements. - Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks. - Lead workshops, demos, and proof-of-concepts to showcase NVIDIA’s AI/ML capabilities. - Guide customers on standard processes for scalable AI model deployment and inference optimization. ### What we need to see - Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience. - 8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions. - Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads. - Strong understanding of data science and machine learning infrastructure—software and hardware. - Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations. - Excellent follow-up and interpersonal skills, with a true passion for problem-solving. - Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful. - Shown eagerness to learn and apply new technologies. ### Ways to stand out from the crowd - Experience with Chatbots, RAG pipelines, vector databases, and distributed training or inference workloads. - Experience or background in HPC (High Performance Computing) environments for AI or ML applications. - Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads. - Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes - Background with common deep learning frameworks such as PyTorch or JAX. 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 May 17, 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/Senior-Solutions-Architect--AI-Hyperscalers_JR2017895) ## 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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