Used Tools & Technologies
LLM GPU GenAIRequired 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.
Machine Learning @ 3
TensorFlow @ 6
Communication @ 6
Product Management @ 3
PyTorch @ 6
Deep Learning @ 5
Generative AI @ 3
AI @ 3
- 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
We are looking for a strong and technical program manager to drive and deliver the Enterprise software releases. This position emphasizes program management experience and knowledge of Generative AI innovations, Large Language Models (LLMs), and traditional machine learning (ML). The work is within NVIDIA's visual and AI computing domain and involves collaboration across engineering, product management, and other stakeholders to develop robust processes and ensure successful execution and timely delivery of software products.
Responsibilities
- Drive release planning and collaborate with globally distributed Engineering and Product teams across time zones.
- Ensure overall consistency and coherence of specifications, set quality standards, and drive quality output of software releases.
- Inspect and assess project health; provide input for corrections or raise issues for quick resolution.
- Ensure systems are in place to manage product feedback from customers and internal stakeholders.
- Promote a positive environment and model behavior that supports good morale.
- Stay current with the state of the art in AI and scientific computing ecosystems.
- Lead a mix of infrastructure, full-stack, and AI/ML solutions; provide technical vision and foster an inclusive team culture.
- Identify opportunities for process improvements and optimizations; collaborate to implement standard methodologies and drive efficiency gains.
Requirements
- 5+ years proven track record in technical program management or related roles; at least 3+ years of this experience should include engineering (coding) and machine learning / deep learning software architecture and frameworks.
- Bachelor's degree in Computer Science, Electrical Engineering, or other technical field (or equivalent experience).
- Experience leading programs building software products using AI technologies.
- Deep hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch); up to speed on generative-AI advancements.
- Detailed knowledge of software engineering principles; experience with industry-standard configuration management tools, productivity tools, and process automation.
- Demonstrated ability to creatively resolve issues and resource conflicts; ability to think strategically and tactically and build consensus to make programs successful.
- Excellent knowledge of the theory and practice of Generative AI and Large Language Models, and specifically experience with NVIDIA GPUs and software libraries.
Ways to Stand Out
- Strong written and oral communication skills; ability to work independently and multitask effectively with minimal direction.
- Ability to cultivate teamwork among technical and non-technical members.
- Detail oriented with proven ability to multitask in a dynamic environment with shifting priorities.
- Proven track record of delivering complex products to customers.
Benefits
- Base salary ranges by level: Level 3: 136,000 USD - 212,750 USD; Level 4: 168,000 USD - 258,750 USD.
- Eligible for equity and company benefits (link provided in original posting).
Additional notes from posting:
- Applications accepted at least until June 2, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to an inclusive work environment.