{"id":1524830,"url":"https://alion.io/job/nvidia-solutions-architect-virtualization","title":"Solutions Architect, Virtualization","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":297,"ghost_share":0.02,"stale_share":0.367,"repost_share":0.04,"time_to_fill_p50_days":28,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":170000,"max_usd":329000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":211},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Hyper-V","optional":false},{"name":"Kubernetes","optional":false},{"name":"KVM","optional":false},{"name":"LLM","optional":false},{"name":"OpenShift","optional":false},{"name":"VMWare","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T18:49:34Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We’re hiring a Senior Solutions Architect to drive technical engagement with VMware across vGPU and Virtualization solutions. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you!\nWhat you’ll be doing:\nServe as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.\nCo-design advanced, scalable architectures with VMware, defining technical direction, integration milestones, and deployment plans.\nEngage hands-on with deep technical topics-designing, validating, and supporting solutions that enable customer and partner success.\nIdentify gaps between VMware needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.\nLead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.\nDrive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.\nPartner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.\nPartner with the VMware/Broadcom alliance team on joint validation, reference architectures, and customer-driven roadmap feedback.\nEnable vGPU Compute for AI inference, LLM routing, accelerated data science, and agentic AI workloads.\nWork with Red Hat, SUSE, Nutanix, and other ecosystem partners to support virtualization and workload management on NVIDIA hardware.\nWhat we need to see:\nBachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.\n8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management - with 3-5+ years of direct, hands-on experience in virtualization or virtual desktop infrastructure .\nDeep technical expertise in vGPU profiles, Multi-Instance GPU (MIG), GPU passthrough, VM sizing and density, and hypervisor-based delivery, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.\nDemonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.\nStrong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.\nA track record of balancing empathy for VMware needs with the ability to drive complex product decisions through trusted relationships.\nExperience designing, validating, and deploying GPU-accelerated visualization, compute, or AI solutions in virtualized and containerized environments.\nWays to Stand Out from the Crowd:\nA hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.\nHistory of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.\nA technical vision that influences product and engineering decisions and drives production outcomes.\nContainer-orchestration integration with VMware Tanzu, Red Hat OpenShift, or upstream Kubernetes, including NVIDIA GPU Operator operations.\nFamiliarity beyond VMware with Nutanix, Red Hat/OpenShift, Hyper-V, or KVM environments.\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!\nYour 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.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 3, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA 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.","description_format":"text","description_chars":5112,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-30T13:36:32Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":28,"reasons":["conf:5","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-solutions-architect-virtualization","json_url":"https://alion.io/job/nvidia-solutions-architect-virtualization.json","meta":{"generated_at":"2026-10-02T03:01:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4108,"day_limit":5000,"remaining_today":892,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}