RADAR SOC Architect at NVIDIA

Munich, Bavaria, Germany

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Technology, AIIndustries

Requirements

Master's Degree in Electrical Engineering, Computer Engineering, or equivalent experience
Over 10 years of experience in ADAS/Autonomous driving-related applications
Thorough understanding of radar transmission techniques (DDMA, TDMA, etc.), range-doppler map building, and performance requirements for SAE driving levels L2-L5
Proficiency in radar sensor interfacing technologies and roadmaps
Familiarity with modern neural network perception techniques for automotive sensors
Experience applying functional safety standards ISO 26262 and system safety standards SOTIF ISO/PAS 21448
Excellent interpersonal skills, both written and verbal

Responsibilities

Explore state-of-the-art interference mitigation techniques and how to best map them to existing or future hardware
Delve into end-to-end large model architectures and determine the optimal methods for ingesting radar data
Evaluate various radar pipeline cuts and establish the best mapping strategies for different hardware generations
Present deeply technical content to Tier 1 partners and customers to gain insights into their needs and automotive requirements
Develop comprehensive engineering specifications (written) and craft detailed technical documentation for customers

Skills

RADAR

SOC Architecture

Embedded Systems

ADAS

Autonomous Driving

Interference Mitigation

DDMA

TDMA

Range-Doppler Map

SAE Levels

System Architecture

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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