Technical Program Manager - Rapids

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Software, Artificial Intelligence, Data ScienceIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience, with over 8 years of professional project management experience in software development, data science, and AI. A demonstrated technical background, ideally as an engineer in a related field, is required, along with knowledge of AI model research and development processes and related compliance issues like the EU AI Act. Expertise in open-source software development, the PyData ecosystem, and GitHub, including repository management and process improvement for GitHub-based organizations, is essential. Strong communication, presentation, and interpersonal skills are necessary to influence without authority and adapt to dynamic environments. Experience with Python or C++ programming, data science, or partnering with research teams to define technical requirements is a plus.

Responsibilities

The Technical Program Manager will collaborate closely with software engineering and product teams to develop and maintain roadmaps, defining project scope, goals, and deliverables. Responsibilities include creating and maintaining detailed project plans, refining processes for transitioning research outputs to products, and managing release-related activities such as compliance and security reviews. The role involves coordinating with internal and external partners, championing the ethical usage of data throughout the model building lifecycle, and ensuring compliance with responsible development practices. Additionally, the TPM will assist in building critical metrics and program schedules to measure release health and achievements, and lead the definition and refinement of software development processes and technologies to enhance project delivery.

Skills

Technical Program Management

Software Development

Data Science

Project Planning

Process Improvement

Roadmap Development

Project Scope Definition

Release Management

Compliance

Security Reviews

Metrics Tracking

Python

GPU 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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