Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
GPU
HPC @ 4
Networking @ 4
Project Management @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA Public Sector is seeking a Program Director to lead current and future government-funded programs. The role involves planning and executing complex, multidisciplinary infrastructure deployment programs and collaborating with internal and external partners to define and build solutions leveraging NVIDIA products for government platforms. The position engages with agency executives, program managers, engineers, and developers.
Due to the classified nature of the work, the selected candidate must be a U.S. citizen and possess and maintain an active U.S. Government TS/SCI clearance.
Responsibilities
- Capture program requirements from NVIDIA Federal customers and team members to shape projects for edge, on-premises data center, and cloud-based deployments.
- Define strategies and tactics for implementing GPU-based product solutions and integrating those solutions from evaluation and proof of concept through design, development, qualification, validation, and program execution.
- Prioritize and schedule projects, track and report project delivery, and communicate results to keep programs aligned with project plans.
- Work with NVIDIA technology partners to coordinate deliverables, manage dependencies, and maintain communication across companies and technical teams supporting high-visibility programs.
- Coordinate and lead program execution discussions, clearly communicating requirements and issuing status updates to customers and internal teams.
- Collaborate with engineering, operations, quality, product management, and sales teams to resolve technical and logistical issues, set accurate expectations, and keep project scope on track.
- Travel as needed.
- Live in the Washington Metro Area.
Requirements
- Active TS/SCI clearance.
- U.S. citizenship.
- BS/MS degree, or equivalent experience, in engineering, computer science, or business, with technical program management experience.
- Project Management Professional (PMP) certification or equivalent experience.
- Experience with HPC clustering or data center technologies.
- At least 10 years of project or program management experience in a technical setting.
- At least 5 years of validated delivery service experience in an HPC or data center setting.
- Experience managing significant and complex programs, particularly with strategic customers.
- Excellent interpersonal skills and the ability to work with complementary teams and functional groups.
- Proactive, self-starting approach with the ability to prioritize multiple tasks efficiently and adapt to changing priorities.
Preferred Qualifications
- Experience defining and implementing complex program schedules, including dependencies, critical paths, key achievements, and results.
- Experience working at both strategic and tactical levels to establish objectives, complete projects, and report program status.
- Knowledge of networking or the AI ecosystem.
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