Senior Technical Program Manager at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Bachelor of Science degree in Applied Science or Engineering (or equivalent experience); Master's degree is helpful
10+ years of relevant experience, including at least 3 years in a technical program management role, ideally within multi-functional teams
Proven experience in SoC Bring Up, Validation, and Productization
Detailed understanding of datacenter and/or consumer electronics design, including critical interfaces
Ability to navigate system integration complexities at the convergence of Silicon, System, and Software
Proficient in leading rapid development cycles and embracing change, maintaining flexibility and composure in uncertain situations
Highly self-motivated and proactive, with the ability to engage in critical thinking and problem-solving
Outstanding communication and organizational skills, capable of effectively articulating sophisticated technical issues and solutions

Responsibilities

Own the planning, development, and management of project schedules and deliverables; ensure meticulous management of tasks, dependencies, and breakthroughs to achieve program objectives on schedule
Actively participate in crucial design reviews and efficiently handle scope changes to minimize impacts on project timelines and outcomes
Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on project achievements and go-to-market strategies
Proactively identify risks and dependencies, develop mitigation strategies, and advance issues to leadership as vital
Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making
Leverage insights and standard processes from completed programs to drive continuous improvement in processes and outcomes for future projects
Continually improve processes, optimize workflow, and maintain the highest quality levels

Skills

Technical Program Management

SoC Bring Up

SoC Validation

SoC Productization

Project Scheduling

Risk Management

Multi-functional Collaboration

Design Reviews

Scope Management

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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