Radar Embedded Engineer at Aumovio

As a highly skilled Embedded Software Expert, this role will lead the design and development of embedded software for our next-generation millimeter-wave (mmWave) radar systems. The successful candidate will work on firmware and algorithm implementation/optimization for a new RISC-V based chip, integrating RF frontend algorithms, optimizing post-processing performance, and enhancing computational acceleration techniques. This role requires expertise in embedded systems, low-level programming, hardware-software integration, and advanced algorithm optimization. Key Objectives: - Develop, verify, and optimize embedded software for RISC-V based radar chips - Implement RF frontend waveform configuration, FFT, interference suppression, and other signal processing algorithms in hardware accelerators - Optimize post-processing algorithms (e.g., Extended Kalman Filter) for performance and resource efficiency - Explore and deploy novel acceleration techniques utilizing hardware accelerators and assembly-level coding - Design and implement high-speed multi-core shared memory schemes - Troubleshoot and resolve low-level hardware/software integration issues - Collaborate with hardware development and algorithm teams to align software solutions with hardware capabilities Task areasMain tasks*             Hardware and Firmware Integration  - Develop firmware for controlling RF frontend and signal conditioning modules  - Configure and manage waveform generation and parameter adjustments  - Interface with hardware accelerators for waveform processing tasks Algorithm Implementation & Optimization - Implement core RF algorithms such as FFT, interference suppression, noise filtering, and waveform configuration in hardware accelerators  - Optimize these algorithms for real-time performance on RISC-V architecture  - Adapt and fine-tune algorithm code to leverage HW accelerator features Post-Processing and Algorithm Acceleration  - Develop efficient post-processing routines for target detection, tracking, and classification  - Accelerate computationally intensive algorithms like EKF using dedicated hardware resources  - Explore assembly language optimization for critical routines to maximize performance gains  - Integrate hardware acceleration modules with software processing pipeline  - Deploy new acceleration scheme to optimize runtime critical operations, such as floating point calculation and matrix operation in RISC-V architecture Parallel and Multi-core Programming  - Design and implement high-speed multi-core shared memory schemes to maximize parallel processing efficiency  - Develop synchronization, data sharing, and memory access protocols for multi-core execution  - Ensure low-latency communication between cores for real-time operation Software Optimization & Low-Level Troubleshooting  - Profile and identify performance bottlenecks across software modules  - Fine-tune memory management, cache utilization, and data flow for optimized performance  - Troubleshoot and debug low-level issues arising from hardware-software interactions or embedded system constraints System Validation & Testing  - Develop test strategies for embedded firmware and algorithms  - Verify functionality against design specifications under various operating conditions  - Collaborate with hardware teams to diagnose and rectify hardware-related issues Documentation & Collaboration  - Maintain detailed technical documentation for firmware, algorithms, and system architecture  - Collaborate closely with hardware designers, algorithm developers, and system engineers  - Participate in design reviews, code reviews, and continuous improvement initiatives