Radar Embedded Engineer

Aumovio Autonomous Mobility (Shanghai) Co., Ltd.

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

Education / Certification Master’s degree in Electrical Engineering, Computer Engineering, or related field

Professional Experience

(Variety of Functions, Variety of Business, General Management Experience) - Strong experience in embedded firmware development in C/C++ and assembly

 - Deep understanding of RF signal processing, radar systems, and related algorithms

 - Proven expertise in multi-core programming and shared memory schemes

 - Hands-on experience with RISC-V architecture and hardware accelerators

 - Experience optimizing algorithms for embedded hardware resource constraints

 - Familiarity with debugging tools, oscilloscopes, logic analyzers, and trace tools

Project and/or Process Experience

Projectmanagment, PLC experience, Intellectual Property

Leadership Experience Leading engineering teams (functional, disciplinary)

Radar Embedded Engineer

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