Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Kubernetes @ 1
Communication @ 4
Prioritization @ 4
Jira @ 4
Product Management @ 4
Engineering Management @ 4
Agile @ 4
Deep Learning @ 4
AI @ 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’s deep learning platforms are widely adopted across academia and industry. The DGX Cloud Technical Program Manager will coordinate between global cloud service providers and NVIDIA engineering teams to build cloud infrastructure and user experiences for DGX Cloud customers.
Responsibilities
- Act as the link between global cloud service providers and NVIDIA engineering teams.
- Collect requirements, lead prioritization, timelines, and planning for all stages of the product life cycle.
- Manage risks and resolve issues impacting scope, schedule, and quality to ensure programs meet quality standards.
- Develop and lead schedules and milestones for many moving parts.
- Lead and improve existing product development; collaborate with engineering management to improve development workflow and engineering efficiency.
- Partner with engineering and product management to define and deliver project roadmaps, schedules, and achievements.
- Develop and drive a communication strategy that provides cross-functional and organizational visibility on program progress and engineering delivery.
- Drive organizational efficiency by coordinating with cross-functional leads and streamlining processes.
- Foster ongoing development and identify opportunities for process improvements.
Requirements
- 10+ years of Program Management experience driving planning and execution of large programs and software engineering projects in a matrix environment.
- Experience successfully leading global projects across time zones.
- Experience with Jira and/or JAMA (required); ability to guide engineering teams on using these tools and implementing them in an Agile/Scrum manner.
- Ability to think strategically and tactically and build consensus to make programs successful; ability to resolve technical issues and resource conflicts.
- Expert in enterprise-scale lean process development and rolling out new efficiencies organization-wide.
- Ability to drive cross-organization alignment across senior and executive leaders.
- Excellent communication and technical presentation skills.
- MS in Electrical Engineering (EE) or Computer Science (CS), or equivalent experience.
Ways to stand out
- Strong communication skills and proven track record working successfully with multifunctional teams and coordinating across organizational boundaries and geographies.
- Working understanding of cloud technologies (a plus).
- Background with new product introduction and leading research teams.
- Experience with productivity tools and process automation is a big plus.
- Kubernetes platform experience is a huge plus.
Compensation & Benefits
- Base salary ranges by level and location:
- Level 5: 200,000 USD - 322,000 USD
- Level 6: 240,000 USD - 379,500 USD
- Eligible for equity and company benefits (link to NVIDIA benefits referenced).
Other details
- Applications accepted at least until July 3, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and committed to fostering an inclusive work environment.