Used Tools & Technologies
Not specified
Required Skills & Competences ?
Ansible @ 2 Terraform @ 2 GCP @ 2 Leadership @ 3 AWS @ 2 Azure @ 2 Django @ 6 FastAPI @ 6 Flask @ 6 Git @ 2 React @ 6 Angular @ 6 API @ 3Details
This role is with the NVIDIA Enterprise Product Group. The Technical Product Manager will help expand the capabilities of NVIDIA LaunchPad, a global service for research and development with customers and partners. The role focuses on crafting end-to-end solutions that integrate NVIDIA products with community projects and enabling automated experiences for experimenting with AI technologies.
Responsibilities
- Design, build, and deploy features that deliver AI infrastructure and guided experiences to internal users, external customers, and partners.
- Work across backend, frontend, and automation technologies; this is a full-stack-focused product role.
- Spend significant time learning and building hands-on expertise with NVIDIA, partner, and community technologies (programming frameworks, automation tooling, APIs).
- Work closely with strategic customers and partners to collect requirements and define joint initiatives and proofs of concept.
- Author requirements documents and collaborate with engineering and program management to develop product roadmaps and prioritize features.
- Make informed product decisions based on experience, research, and customer feedback.
Requirements
- 8+ years of experience developing REST APIs using frameworks such as Django REST Framework, FastAPI, or Flask.
- 8+ years of experience developing web-based user interfaces using frameworks such as Angular or React.
- 8+ years building and shipping software and platform infrastructure solutions for enterprises.
- BS or MS in Computer Science, Electrical Engineering, or equivalent experience.
- Familiarity with automation tooling (Ansible, Terraform), version control (Git), and cloud services (AWS, GCP, Azure).
- Flexibility to context-switch between technology stacks and priorities.
- Leadership and grit: proven track record of building consensus across teams, reducing friction, and driving progress.
Ways to stand out
- Evidence of recent research publications and/or contributions to open source.
- Ability to reduce complexity to simplicity.
- Hands-on experience building or using Generative AI solutions.
- Experience with diverse data center infrastructure, including GPUs, DPUs, ARM CPU architecture, and Infiniband.
- Knowledge of trends around LLMs, RAG, and Generative AI.
Compensation & Benefits
- Base salary range: 168,000 USD - 258,750 USD for Level 4; 208,000 USD - 327,750 USD for Level 5 (final base salary determined by location, experience, and internal pay equity).
- Eligible for equity and benefits.
Other
- Applications accepted at least until September 29, 2025.
- NVIDIA is an equal opportunity employer and values diversity in its workforce.