Senior Manager, Technical Product and Program Management, Core Software - Autonomous Vehicles 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, AutomotiveIndustries

Requirements

Driven, hands-on leader and people manager with strong skills in communication, influencing, and multi-functional team building across time zones
Experience managing and growing technical product or program management teams across autonomous vehicle or robotics domains
Strong technical skills, including experience in autonomous vehicles, robotics, or related projects which involve heavily matrixed sophisticated systems
Creative problem solver who can handle ambiguous situations, reach consensus, and make decisions
Ability to think creatively, propose solutions, and resolve development issues and constraints
Execution focus, with experience bringing new and innovative products and technologies into reality
12+ overall years of recent Product or Program Management experience and 5+ years of people management experience
BS/MS in Computer Science, Computer Science, Engineering, or related field (or equivalent experience)

Responsibilities

Hands-on leadership of a team coordinating projects, partnering with tech leads to understand and solve complex self-driving challenges
Drive and be responsible for delivery of your technology portfolios, in partnership with your engineering leader counterparts
Coordinate and collaborate with teams and internal customers to deliver those roadmaps against extremely ambitious timelines and goals: build processes and frameworks to amplify team performance, communicate and resolve bottlenecks, address issues, and measure outcomes
Develop a deep technical understanding of the entire stack to proactively identify areas of improvement and investment, influencing technical direction across teams
Clearly communicate and represent technical product status and program execution to senior executives and OEM partners
Develop a high performing team which can define and deliver against highly ambitious technology product roadmaps

Skills

Product Management

Program Management

Autonomous Vehicles

Perception Technology

Planning Technology

Sensor Fusion

Mapping

Project Coordination

Technical Leadership

Roadmap Delivery

Process Development

Execution

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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