Technical Program Manager at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, SemiconductorIndustries

Requirements

5+ years proven track record in technical program management or related roles
3+ years of this experience should be engineering (coding) and machine learning and deep learning software architecture and frameworks
Bachelor's degree in Computer Science, Electrical Engineering or other technical field (or equivalent experience)
Experience leading programs building software products using AI technologies
Deep hands-on experience with DL Frameworks (e.g. TensorFlow, PyTorch, etc.). Up to speed on generative-AI advancements
Detailed knowledge of software engineering principles
Experience with industry standard configuration management tools
Experience with productivity tools and process automation
Confirmed experience to creatively resolve issues and resource conflicts
Ability to think strategically and tactically and to build consensus to make programs successful
Excellent knowledge of theory and practice of Generative AI and Large Language Models and specifically with NVIDIA GPUs and software libraries
Comfortable working in a fast-paced environment with changing requirements and experience in large & complex program management
Excellent communication skills and ability to work independently
Strong written and oral communications skills, independent and able to multitask (ways to stand out)

Responsibilities

Drive and deliver the Enterprise software releases
Drive the release planning and collaborate with the Engineering and Product teams that are globally distributed across time zones
Ensure the overall consistency and coherence of specifications, setting quality standards and drive quality output of the software releases
Speak objectively and constructively about what is working well and what needs to improve as we develop new processes
Ensure that systems are in place to manage product feedback from customers as well as internal stakeholders
Promote a positive environment across the organization by modeling behavior that promotes good morale
Stay current with the state of the art in AI and scientific computing ecosystems
Lead a mix of infrastructure, full-stack, and AI/ML solutions. Inspire the team with a sound technical vision and a vitality to execute by creating an inclusive team culture
Collaborate closely with teams, including engineering and product management for execution and alignment with organizational objectives
Develop robust processes that ensure the successful execution and timely delivering of the software products
Inspect and assess projects’ health; provide input for corrections needed or help raise up issues for quick resolution
Continuous Improvement: Find opportunities for process improvements and optimizations. Collaborate to implement standard methodologies, drive efficiency gains, and enhance performance

Skills

Key technologies and capabilities for this role

Program ManagementGenerative AILarge Language ModelsLLMsMachine LearningMLRelease PlanningGPU ComputingDeep LearningCross-functional CollaborationGlobal Team ManagementStakeholder Management

Questions & Answers

Common questions about this position

What experience is required for this Technical Program Manager role?

Candidates need 5+ years of proven track record in technical program management or related roles, with at least 3+ years of that experience in engineering (coding). Knowledge of Generative AI innovations, Large Language Models (LLMs), and traditional machine learning (ML) is also essential.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the company culture look like for this team?

The role involves promoting a positive environment by modeling behavior that promotes good morale, inspiring the team with a sound technical vision, and creating an inclusive team culture while collaborating with globally distributed engineering and product teams.

What makes a strong candidate for this position?

A strong candidate will have experience in large and complex program management, excellent communication skills, the ability to work independently in a fast-paced environment with changing requirements, and comfort collaborating with globally distributed teams.

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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