Senior Software 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, Robotics, AutomotiveIndustries

Requirements

BS, MS, or PhD in Computer Science or related fields or equivalent experience
5+ years of experience, with at least 2+ years in the AV or robotics industry
2+ years of experience technically leading areas
Passion for robotics and autonomous vehicles
Drive to learn new things and tackle meaningful problems
Outstanding communication and cross-team collaboration especially with multinational teams across the globe
Independent and analytical software engineering skills
Software development experience on embedded or automotive platforms

Responsibilities

Develop core functionality for autonomous driving in all geographies based on the fusion of SOTA perception DNN and map signals
Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources
Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world
Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios
Be a technology leader by providing the team guidance on approaches to be taken to solve the hardest of AV problems
Be a hands-on collaborator with the team
Hiring and mentoring strong engineers within the team
Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions
Produce code and designs following automotive quality and safety standards

Skills

Key technologies and capabilities for this role

Sensor FusionPerception DNN3D World ModelBEV ModelsOccupancy GridsHD MappingAutonomous DrivingRoboticsAutomotive Safety StandardsReal-time Algorithms

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Engineer position?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What are the required qualifications and experience for this role?

Candidates need a BS, MS, or PhD in Computer Science or related fields, 5+ years of experience with at least 2+ years in AV or robotics, 2+ years technically leading areas, software development experience on embedded or automotive platforms, and outstanding communication and cross-team collaboration skills.

What is the team structure and work environment like at NVIDIA for this role?

You will work closely with perception and planning teams on the DRIVE Road structure / Online mapping / Context Fusion team, collaborating with multinational teams across the globe in an exciting environment central to NVIDIA's AV vision.

What makes a candidate stand out for this Senior Software Engineer role?

Stand out with background in 3D geometry, computer vision, sensor calibration, or state estimation algorithms like Kalman filters; significant AV industry experience especially in self-driving cars; experience in real-time Computer Vision systems; and strong API and framework design skills.

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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