Principal System Integration Engineer - 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

Autonomous Vehicles, Automotive, TechnologyIndustries

Requirements

BE/BS or MS in computer science, robotics, computer engineering, or equivalent experience
Understanding of the technological evolution in the self-driving industry
15+ years of deep hands-on technical experience
Extensive strong technical leadership experience across large-scale organizations
Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks
Broad and deep technical knowledge across software and hardware
Proven ability to lead teams across multiple hardware, software, and business groups through design and implementation
Excellent communication and interpersonal skills and the ability to influence large organizations in meaningful ways
Ways to stand out
Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation, and metrics development of autonomous driving systems
Software development experience on QNX or equivalent RTOS
Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications
Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform
Contributions to or ownership of open-source projects and mentorship experience

Responsibilities

Lead, build, and drive the architecture and engineering alignment for key automotive customer projects through all phases, from bringup to production and post-production, using the DRIVE platform
Architect and build a seamless integration environment to amplify the scalability of our software solutions for our partners
Collaborate with senior leaders across the company to evolve the product initiatives, roadmaps, and processes. Drive innovation bringing in new technologies
Lead bring-up activities and provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers

Skills

System Integration

Autonomous Vehicles

Software Architecture

DRIVE Platform

Bring-up

Scalability

Automotive Engineering

System Performance

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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