Used Tools & Technologies
Not specified
Required Skills & Competences ?
Ansible @ 2 Terraform @ 2 GCP @ 3 Leadership @ 6 AWS @ 3 Azure @ 3 Communication @ 6 Django @ 6 FastAPI @ 6 Flask @ 6 Git @ 3 React @ 6 Angular @ 6 API @ 3 Experimentation @ 6Details
This role is with the NVIDIA Enterprise Product Group. The team is expanding the capabilities of NVIDIA LaunchPad, a global service for research and development with customers and partners. The position is focused on crafting end-to-end solutions that integrate NVIDIA products with community projects, with a strong emphasis on Generative AI and guided experimentation.
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; deep full-stack knowledge is required for feature development.
- Spend significant time learning and building hands-on expertise with NVIDIA, partner, and community technologies (programming frameworks, automation tooling, and APIs).
- Collaborate with strategic customers and internal partners to collect requirements and translate them into a clear product vision and automated experiences.
- Author requirements documents describing desired future states and collaborate with engineering and program management to develop product roadmaps.
- Make product decisions informed by 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 tools such as Ansible and Terraform.
- Experience with version control (Git).
- Experience with cloud services (AWS, GCP, Azure).
- Strong ability to context-switch between technology stacks and to rapidly prototype and learn hands-on.
- Strong leadership, communication, and the ability to build consensus across teams.
Ways to Stand Out
- Recent research publications and/or contributions to open source.
- Hands-on experience building or using Generative AI solutions.
- Knowledge of trends around LLMs, RAG, and Generative AI.
- Experience with diverse data center infrastructure including GPUs, DPUs, ARM CPU architecture, and Infiniband.
- Demonstrated ability to reduce complexity to simplicity.
Compensation & Benefits
- Base salary ranges (determined by location, experience, and comparable pay):
- Level 4: 168,000 USD - 258,750 USD
- Level 5: 208,000 USD - 327,750 USD
- Eligible for equity and additional benefits (see NVIDIA benefits).
- Applications accepted at least until September 29, 2025.
Equal Opportunity
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of protected characteristics.