Technical Program Manager, Autonomous Vehicle Fleet Operation at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous Vehicles, TechnologyIndustries

Requirements

Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field
8+ overall years of experience in a similar or related role
Practical experience working in Linux, using version control systems, and debugging
Well-rounded knowledge of how an autonomous vehicle stack works, and practical experience dealing with the challenges in this area
Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations
Ways to stand out from the crowd
Background with autonomous vehicle and/or machine learning development
Experience with data analysis tools/languages
Experience with start-ups and/or early-stage products

Responsibilities

Coordinate among requesting teams to plan test resources, track progress to ensure test resource availability
Oversee test execution team, understand test requirements. Guide execution to provide quality test results
Lead the fleet efficiency across car, garage, people and execution. Drive it to the Speed of light
Own/Raise and drive major gaps and failures through systemic improvements
Ensure that the driving quality of the fleet engineering remains optimized by making go/no-go decisions on major technical changes, defining the tests/frameworks required to guard against regressions, and identifying/addressing regressions
Lead, manage, train, and/or provide guidance to other team members and contractors
Scale out this iterative development process by developing more automation and leveraging from current operational teams/resources

Skills

Linux

Version Control Systems

Debugging

Program Management

Fleet Operations

Test Coordination

Automation

Autonomous Driving

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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