> Markdown version of [/jobs/ext/1425723-sr-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/1425723-sr-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Solutions Engineer - **Company:** Vcluster Labs - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cloud Engineering, Open Source Technology, Weka, AI Infrastructure, Kubernetes, Hardware Infrastructure - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=adce17f5e66d28d1 ## About the Role * NVIDIA ecosystem experience: DGX, Dynamo, GPU Operator, AI Enterprise, or NVIDIA certifications, plus an understanding of how NVIDIA blueprints and partner validation actually work. * AI infrastructure depth: GPU infrastructure, storage, and networking for AI factories and GPU clouds (Weka- and VAST-class storage literacy is a plus). * AI Cloud or GPU-as-a-Service experience: Time building or supporting GPU-as-a-Service or Kubernetes-as-a-Service platforms at AI Cloud providers or service providers. ## Description As a Senior Partner Solutions Engineer at vCluster Labs, you aren't just supporting partner deals; you are building the technical foundation of our partner ecosystem from the ground up. You will be our first dedicated partner-facing pre-sales engineer, turning relationships with NVIDIA, WWT, AMD, and AI Cloud providers like Nebius into validated reference architectures, enabled partner architects, and partner-sourced pipeline. Where there's a GPU, vCluster needs to be there, and you are the person who makes that real: someone who can whiteboard a GPU cloud architecture with an NVIDIA solution architect in the morning and train a room of partner sellers in the afternoon., As a Senior Partner Solutions Engineer, your role will include: * Joint Reference Architectures: Design and validate reference architectures with strategic partners, from NVIDIA blueprints and AMD foundations up through the platform layer: vCluster, vNode, vMetal, and vCluster Platform. Turn one successful deployment into a repeatable, sellable solution with bills of material, deployment guides, demo environments, and benchmarks. * Partner Enablement: Build and deliver technical enablement for partner architects and sellers, including training dozens of architects at partner Centers of Excellence on the value proposition, cost, and performance story of the vCluster product family, so partners position us to win when we are not in the room. * Field Enablement: Enable vCluster's internal field SEs to engage partners effectively, so the partner motion scales beyond one person and the field is never pulled off customers to cover channel work. * Partner-Led Opportunities: Own technical discovery, demos, and Proofs of Concept for partner-sourced opportunities, always in support of direct field ownership. Run a disciplined POC model: validated business problem, named sponsor, clear success criteria, and a defined production milestone. * Centers of Excellence: Stand up vCluster presence inside partner Centers of Excellence, such as WWT's in St. Louis, tied to named customers and qualified pipeline rather than marketing labs. * Ecosystem Navigation: Build technical credibility across a focused set of 6-8 priority partners, cultivating executive sponsors and technical champions without becoming dependent on a single contact or business unit., * Deep Kubernetes expertise: You go deep on cluster architecture, Tenant Isolation, and the cloud-native ecosystem, and you can master vCluster, vNode, and vMetal inside and out. This one is required, not preferred. * Partner pre-sales experience: You have worked with partners (OEMs, GSIs, resellers, or cloud providers) in a technical pre-sales capacity and you understand the partner dynamic: co-selling, joint validation, and winning through someone else's sellers. * Solutions engineering craft: Years of discovery, whiteboarding, demos, and POCs that actually convert to production, with the qualification discipline to say no to science projects. * Enablement building: You have created enablement content, workshops, hands-on labs, or certification paths from scratch, and the partners you enabled kept winning after you left the room. * Executive presence: You can hold the room with a Kubernetes engineer and a CIO in the same meeting, and you move people you don't manage., * Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business. * Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers. * Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights. * Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy - the strongest ideas win, no matter who or where they come from. * Build Tomorrow's Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms. Compensation Range: $140K - $180K ## Related Videos - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Turn Community Events Into a Powerful AI GTM Engine: The Daytona Playbook](https://www.wearedevelopers.com/magazine/732-how-to-turn-community-events-into-a-powerful-ai-gtm-engine-the-daytona-playbook)