[Remote] Technical Product Manager - Enterprise Computing at NVIDIA

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, Artificial Intelligence, Computer HardwareIndustries

Requirements

Candidates must have a BS or MS in Computer Science, Electrical Engineering, or equivalent experience. A minimum of 8+ years of experience is required in developing REST APIs using frameworks like Django REST Framework, FastAPI, or Flask, and in developing web-based user interfaces using frameworks such as Angular or React. Additionally, 8+ years of experience in building and shipping software and platform infrastructure solutions for enterprises is necessary. Familiarity with automation tools (Ansible, Terraform), version control (Git), and cloud services (AWS, GCP, Azure) is expected. Flexibility to context switch rapidly and leadership skills with a track record of building consensus are also required.

Responsibilities

The Technical Product Manager will expand the capabilities of NVIDIA LaunchPad by crafting end-to-end solutions that integrate NVIDIA products with community projects. Responsibilities include spending half the time learning about programming frameworks, automation tooling, and APIs, and the other half working with customers and partners to collect requirements and define a clear product vision for AI technology experimentation. This role involves designing, building, and deploying features for AI infrastructure and guided experiences, requiring full-stack knowledge of backend, frontend, and automation technologies. The Technical Product Manager will author requirements documents, collaborate with engineering and program management on product roadmaps, and make informed product decisions based on experience, research, and intuition. They will also work closely with customers and partners to define joint initiatives and proof of concepts, utilizing customer feedback for feature prioritization and design tradeoff evaluation.

Skills

Technical Product Management

Enterprise Computing

NVIDIA LaunchPad

Generative AI

AI Infrastructure

Full-stack development

Backend development

Frontend development

Automation technologies

Programming frameworks

APIs

Requirements gathering

Product vision

Product roadmaps

Customer feedback analysis

Prototyping

Hands-on development

Cloud computing

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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