Senior Technical Program Manager, Deep Learning Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices
10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones
Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors
Exceptional communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict management skills
In-depth understanding of software engineering principles and quality requirements in enterprise systems
Strong multitasking abilities with a focus on thoroughness and rapid context switching
Knowledge of agile methodologies and tools, project planning, and task tracking tools
Experience in AI training environments and resource capacity planning
Proactive in identifying and implementing efficient changes in software engineering and release management
Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Responsibilities

Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
Guide engineering teams in the use of agile methodologies
Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
Report on overall program status, providing insights and recommendations to senior management
Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
Work with multi-functional matrixed teams
Guide teams designing for advanced, complex, competing and often conflicting customer requirements
Moderate technical discussions to successful conclusions
Act as liaison between developers and customers, between technical and non-technical audiences
Cultivate a culture of continuous improvement, finding opportunities for process enhancements

Skills

Program Management

Agile Methodologies

Deep Learning

Gen AI

Technical Leadership

Cross-Functional Coordination

Metrics Development

Global Project Management

Dependency Management

Stakeholder Engagement

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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