RADAR SOC Architect at NVIDIA

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Embedded Systems, Radar Transmission Techniques, ADAS, Autonomous Driving, Radar Sensor Interfacing, Neural Network Perception, Functional Safety Standards, System Safety Standards, Interpersonal Skills, Technical Documentation, Engineering Specifications, Interference Mitigation Techniques, Radar Data Ingestion, Radar Pipeline Evaluation, Customer Engagement, Technical Presentations

Industry

Computer Hardware Manufacturing

Description

At NVIDIA, our employees are passionate about Artificial Intelligence, Visual Computing and Autonomous vehicles. We're united in our quest to transform the way GPUs are used for work and play. We need passionate, hard-working and creative people to help us seek some of these outstanding opportunities. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. Our automotive team is building ground-breaking platforms for autonomous vehicles. As a RADAR SOC Architect specializing in embedded systems, you will be responsible for defining system level architecture for automotive advanced driver assistance systems and autonomous driving systems. What you will be doing: 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. What we need to see: A 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. As this role involves both external and internal engineering responsibilities, excellent interpersonal skills, both written and verbal, are essential. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

As a RADAR SOC Architect, you will define system level architecture for automotive advanced driver assistance systems and autonomous driving systems. You will explore interference mitigation techniques and evaluate radar pipeline strategies for different hardware generations.