Hiring: Sr. Staff Radar Signal Processing Engineer Company: Rivian Location: Palo Alto, CA Job Posted Time: 2026-09-13 10:28:30 Employment Type: Full-time Target Skills & Keywords : ASIC, Angular, C, C++, Deep Learning, Embedded Systems, FPGA, Firmware, MATLAB, Python, SOC, Systems Design About the job Experience: •8+ years of experience developing signal processing algorithms and DSP pipelines for RADAR systems, with demonstrated expertise in imaging or high-resolution automotive/robotics RADAR. Required Skills: •Interface directly with an experienced, cross-functional team to design, develop, and optimize the signal processing algorithms and DSP pipeline for a high-performance 4D imaging RADAR, from raw ADC data through detections and point-cloud output. •Help define and drive the radar processing chain architecture, including waveform design, MIMO/virtual array processing, beamforming, range-Doppler-angle estimation, and super-resolution angle estimation techniques. •Contribute to the technical roadmap for achieving industry-leading KPIs in range, velocity, and angular resolution, detection probability, false alarm rate, and dynamic range. •Develop and optimize core algorithms including CFAR detection, clutter and interference mitigation, micro-Doppler processing, tracking, and point-cloud generation for 4D imaging output (range, Doppler, azimuth, elevation). •Design and implement real-time, compute- and memory-efficient DSP pipelines suitable for deployment on embedded/automotive-grade hardware (DSP cores, FPGA, or custom ASIC/SoC). •Build high-fidelity simulation, modeling, and algorithm validation frameworks (MATLAB, Python, C++) to characterize algorithm performance ahead of hardware availability. •Evaluate and integrate state-of-the-art techniques, including MIMO waveform design, digital beamforming, sparse array processing, and interference mitigation for dense multi-radar environments. •Partner cross-functionally with AI/ML teams to develop and deploy deep learning-based radar perception models (e.g., detection, segmentation, classification) operating directly on radar cubes or point clouds. Qualifications: •Master's or PhD in Electrical Engineering, Computer Engineering, Applied Mathematics, or a related field, with a focus on signal processing or radar systems. •Deep expertise in radar signal processing fundamentals: waveform design (FMCW/chirp), range-Doppler processing, MIMO virtual array synthesis, digital beamforming, and angle-of-arrival estimation (e.g., FFT-based, MUSIC, ESPRIT, or compressed sensing approaches). •Strong hands-on experience developing detection and tracking algorithms, including CFAR variants, clutter suppression, and multi-target tracking. •Proven ability to design DSP pipelines that meet real-time, low-latency constraints on embedded and automotive-grade compute platforms. •Strong proficiency in MATLAB, Python, and C/C++ for algorithm modeling, simulation, and production implementation. •Operational familiarity with RF/antenna system design principles and their interplay with DSP algorithm performance. •Demonstrated success in technical leadership, including leading algorithm development from concept through production deployment. •Strong problem-solving skills and the ability to thrive in a fast-paced, innovative environment. Compensation: •$237,000 - $296,000 / year •The successful candidate may be eligible for annual performance bonus and equity awards Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!