Senior Technical Program Manager - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial IntelligenceIndustries

Requirements

BS/MS Computer Science, Electrical Engineering or related field (or equivalent experience)
8+ years of recent Program/Product Management experience, including driving the planning and execution of complex software engineering projects, and releasing commercial products
Proven experience in Automotive, Perception, Path Planning and/or AI
Strong leadership and interpersonal skills. Demonstrated ability to collaborate on global projects across teams and time zones
Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team how to use these tools

Responsibilities

Leading automotive software development across multiple engineering teams related to ADAS/Autonomy features
Working with the engineering leads to define product and roadmaps, develop schedules, and drive the execution and tracking of these across the organization
Coordinating release content and efforts with multiple program managers and engineering managers who own individual components
Identifying and handling risks, and resolving issues that affect release scope, schedule and quality
Establishing metrics to assess and improve product quality and execution
Regularly communicating the program status and key issues to management and multi-functional teams within the organization

Skills

Key technologies and capabilities for this role

Technical Program ManagementAutonomous VehiclesADASSoftware DevelopmentRoadmap PlanningRelease CoordinationRisk ManagementProgram ExecutionMetricsCross-functional Communication

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS/MS in Computer Science, Electrical Engineering or related field, 8+ years of Program/Product Management experience driving complex software projects, proven experience in Automotive, Perception, Path Planning and/or AI, strong leadership and interpersonal skills for global collaboration, and experience with Jira and/or JAMA.

What is the company culture like at NVIDIA?

NVIDIA is committed to fostering a diverse work environment and values passion for autonomous vehicles, creativity, and innovation in artificial intelligence computing for self-driving cars.

What makes a candidate stand out for this role?

Stand out with proven experience leading end-to-end development of ADAS or self-driving features, prior roles as a software engineer, software QA or systems engineer, and background in a fast-paced Automotive OEM or supplier.

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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