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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