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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep technical expertise in system management software, operating systems, and hardware infrastructure, with hands-on experience in deploying AI-focused solutions. Proven ability to communicate complex technical ideas effectively to diverse audiences and drive product integrations.
Highest-signal resume keywords
System Management Software ExpertiseHands-On Experience with AI-Focused SolutionsTechnical Partnerships and Solutions ArchitectureCluster Management Tools ExperienceWorkload Orchestration Software Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Compute HardwareNetworking HardwareStorage HardwareOperating SystemsSystem FirmwareWorkload Management SoftwareCluster Management SoftwareNVIDIA SDKsAI Factory PlatformsSystem/Rack-Scale Hardware
Soft Skills
Problem-Solving SkillsIntellectual CuriosityCommunication Skills
Tools & Technologies
NVIDIA Base Command ManagerMaaSSlurmKubernetes
Industry Keywords
Solutions ArchitectureTechnical PartnershipsDeveloper RelationsProduct Management
Tech Stack
Tools & technologiesKubernetes
About the role
Key responsibilities & impact- Serve as a trusted advisor by mapping complex customer workloads to NVIDIA’s technology stack
- Co-design scalable architectures with NVIDIA integration partners, select OEMs, and end customers
- Define technical direction, integration milestones, and deployment plans
- Design, validate, and support customer solutions hands-on
- Identify gaps between customer and partner needs and NVIDIA offerings
- Communicate insights shaping internal product and engineering priorities
- Lead technical engagements and help customers troubleshoot complex issues
- Drive technical enablement and adoption of NVIDIA SDKs, frameworks, and systems
- Partner with engineering and product teams for successful deployment and continuous improvement
- Build and share knowledge and infrastructure insights for NVIDIA platforms
- Tailor on-premises solutions to specific environments and workloads while balancing risk, performance, and supportability
- Support NVIDIA partners, OEMs, developers, enterprises, and customers adopting and scaling AI Factory platforms
Requirements
What you’ll need- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field
- 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management
- 3–5+ years of direct, hands-on experience with compute, networking, and storage hardware and software platforms
- Deep technical expertise in system management software, operating systems, system firmware, and hardware infrastructure deployed at scale
- Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries
- Ability to communicate complex technical ideas to technical and non-technical audiences, from engineers to C-level executives
- Strong problem-solving skills and intellectual curiosity
- Hands-on experience deploying, using, and operating on-premises AI-focused solutions
- Experience with system architectures, rack-scale firmware, cluster management software, workload management software, and associated hardware
- Experience with cluster management tools such as NVIDIA Base Command Manager and MaaS
- Experience with workload orchestration software such as Slurm and Kubernetes
- Practical knowledge of BMCs, PCIe communication, network topologies, and system/rack-scale hardware
Benefits
Comp & perks- Equity
- Benefits
- Remote work locations
- Occasional travel to local customer visits and industry events