> 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 Software Engineer, Cloud-Native Stack – CSP Engagements Canonical URL: https://nextmove.md/fde/jobs/43f11df2b1b90b61 NVIDIA posts a senior FDE role to build what the customer runs in US · city not listed, at $184,000–$356,500 base, above the not stated FDE median of $180,000 across 50 postings with pay. This senior software engineering role supports cloud-native stacks for multi-rack, multi-tenant AI datacenters built with NVIDIA GPUs, working directly with cloud service providers. Read from the employer’s posting on November 8, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen Oct 24, 2026 · open on Eightfold as of Nov 8, 2026 **$184,000–$356,500** *annualized* US · city not listed Full-time This senior software engineering role supports cloud-native stacks for multi-rack, multi-tenant AI datacenters built with NVIDIA GPUs, working directly with cloud service providers. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F43f11df2b1b90b61&placement=top) - [View posting at NVIDIA](https://nvidia.eightfold.ai/careers/job/893383716258?domain=nvidia.com) 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 $180K This job $184K to $357K. Not stated FDE postings, 50 postings: the middle 50% of posted pay is $151K to $204K, median $180K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations Travel **Required, amount not stated** - **Coding**: Prototypes and scripts - **Builds for**: External customers - **Role**: Individual contributor ### What they ask for Experience - **10+ years** Professional software development in distributed systems Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 10+ years. How many do you have? 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**: US · city not listed - **Employment type**: Full-time - **Travel**: Travel required, amount not stated ## More like this [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Senior Software Engineer, Cloud-Native Stack – CSP Engagements](https://nextmove.md/fde/jobs/df4aff725c16c5b2) Multiple US offices 6mo ago $184,000–$356,500 [Trase Systems](https://nextmove.md/fde/companies/trase-systems) ### [Senior/Staff Full Stack Software Engineer, Federal](https://nextmove.md/fde/jobs/7ed8dedeb53c35c2) Seattle, WA · Mclean, VA Remote 9d ago $180,000–$240,000 [Crusoe](https://nextmove.md/fde/companies/crusoe) ### [Senior Staff Applied AI Inference Engineer](https://nextmove.md/fde/jobs/5d67843846305b6d) San Francisco, CA On-site 6w ago $250,000–$300,000 - [Other jobs at NVIDIA (30)](https://nextmove.md/fde/companies/nvidia) ## The job description from NVIDIA We are developing advanced multi-rack, multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for datacenter products like GB200. In this role, You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds as part of the CSP engagements team. ### What you’ll be doing - Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc. - Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities. - Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests. - Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites. - Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG. - Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. ### What we need to see - Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins). - Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters. - Proven track record debugging large-scale, cloud-native stacks across networking (RDMA/RoCE), storage, and control planes. - Customer-facing engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap influence. - Familiarity with CI/CD (GitHub Actions, Tekton), observability (Prometheus, OpenTelemetry), and infrastructure-as-code. - Excellent communication-able to switch between deep technical detail and high-level business impact. - 10+ years of professional software development experience in distributed systems (Go, Rust, C/C++ or Python for tooling). - BS or MS (or equivalent experience) in Computer Engineering, Computer Science, or related field. ### Ways to stand out from the crowd - Upstream contributions to Kubernetes, Slurm, Volcano, or similar projects. - Experience with GPU computing (CUDA), deep learning workloads NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 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 November 3, 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.eightfold.ai/careers/job/893383716258?domain=nvidia.com) ## About NVIDIA Builds accelerated computing platforms spanning processors, networking, systems, software, and services for data centers, gaming, professional visualization, and automotive markets. 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