Radar Embedded Engineer at Aumovio

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Embedded Software, Firmware Development, RISC-V, mmWave Radar, C/C++, Assembly Language, Hardware-Software Integration, Algorithm Optimization, RF Signal Processing, FFT, Extended Kalman Filter (EKF), Multi-core Programming, Shared Memory Schemes, Low-Level Troubleshooting, Hardware Accelerators, Signal Conditioning

Industry

Motor Vehicle Manufacturing

Description

Company Description Aumovio Autonomous Mobility (Shanghai) Co., Ltd. Job Description 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 Qualifications 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) Additional Information Radar Embedded Engineer Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next. Legal Entity: AUMOVIO Autonomous Mobility (Shanghai) Co., Ltd. (1015) Job flexibility: Onsite Job Leadership level: Leading People Working time: Full Time

Responsibilities

This role involves leading the design and development of embedded software for next-generation millimeter-wave radar systems, focusing on firmware and algorithm implementation/optimization for a RISC-V based chip. Key tasks include implementing RF frontend algorithms, optimizing post-processing performance, and deploying novel acceleration techniques utilizing hardware accelerators.