Systems Engineer (Automotive Radar)

TL;DR

Systems Engineer (Automotive Radar): Designing next-generation automotive radar and self-driving perception technologies with an accent on advanced signal processing, massive MIMO, interference mitigation, and machine learning. Focus on building radar algorithms, AI software stacks, validation pipelines, and prototype solutions for high-resolution imaging and autonomous perception.

Location: Onsite in San Jose, California, United States

Salary: $158,995 per year; California base salary range of $196,800–$270,600 annually, plus competitive benefits and incentive compensation or equity for certain roles.

Company

Global semiconductor and technology company developing solutions for automotive, embedded, and connected applications.

What you will do

• Design engineering processes and advance innovation initiatives for MCU/MPU engineering.
• Develop automotive radar signal-processing algorithms for high-resolution imaging, massive MIMO, and interference mitigation.
• Build machine learning and perception solutions for self-driving applications.
• Develop validation pipelines and KPIs for radar algorithms and AI applications.
• Create prototypes and collaborate with software and engineering teams to mature the radar and AI stack.
• Contribute across the software development lifecycle, including annotated data collection, database management, and data analysis.

Requirements

• Master’s degree in Electrical Engineering, Computer Engineering, Robotics and Autonomous Systems, or a related field.
• At least three years of experience in the offered role, research, or a related occupation.
• Experience with C/C++ and Python programming.
• Experience with machine learning frameworks such as PyTorch and TensorFlow.
• Experience with TensorBoard, Ubuntu or another Debian-based operating system, and MATLAB.
• Experience with Robot Operating System, radar, and mature radar algorithms.

Culture & Benefits

• Work as part of an innovation team developing next-generation automotive technologies.
• Collaborate with multidisciplinary engineering teams and gain exposure to the full software development lifecycle.
• Health, dental, and vision insurance.
• 401(k) and paid leave.
• Competitive benefits, incentive compensation, and equity for certain roles.