Mapping and Localization Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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$184,000 – $356,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, TechnologyIndustries

Requirements

BS, MS, or PhD in Computer Science or related fields (or equivalent experience)
8+ years of proven experience
Strong algorithmic design background
Outstanding communication and teamwork skills
Meticulous craftsmanship of software in modern C++, using RAII and the best exception safe coding practices

Responsibilities

Design and implement systems using standard navigation maps (e.g., Google maps) to help navigate the car along a route on a lane level
Ensure algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments
Write safe, highly efficient code in C++
Productize all software for real-world deployment to consumer cars, following automotive quality and safety standards (MISRA, ISO26262)

Skills

Key technologies and capabilities for this role

C++Navigation MapsLocalizationPerceptionLane SelectionAlgorithmic DesignMISRAISO26262RAII

Questions & Answers

Common questions about this position

What is the salary range for this Mapping and Localization Engineer position?

The base salary range is 184,000 USD - 356,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

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

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS, MS, or PhD in Computer Science or related fields, 8+ years of proven experience, strong algorithmic design background, outstanding communication and teamwork skills, and meticulous craftsmanship in modern C++ using RAII and exception-safe practices.

What is the company culture like at NVIDIA for this team?

NVIDIA features forward-thinking and hardworking people, values creativity and autonomy, fosters a diverse work environment, and emphasizes cross-team collaboration in a tightly-knit team.

What makes a candidate stand out for this Mapping and Localization Engineer role?

Prior industrial experience with navigation maps, online mapping, or lane planning will help you stand out from the crowd.

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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