Senior Software Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
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

Sensor Fusion
Perception DNN
3D World Model
BEV Models
Occupancy Grids
HD Mapping
Autonomous Driving
Robotics
Automotive Safety Standards
Real-time Algorithms

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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