Job Openings-Ruixing - Focused on the full-stack domestic R&D and mass production of millimeter-wave radar

1. Responsible for the research and development of visual algorithms, including but not limited to: image content recognition, object detection and tracking, image semantic segmentation, text recognition, and more. 2. Responsible for model acceleration and standardization; collaborate with platform developers to integrate algorithms into the system; design, port, and optimize mobile-end algorithms. 3. Develop tailored solutions for specific projects, driving performance optimization and practical implementation of relevant algorithms in real-world application scenarios. 4. Stay updated on cutting-edge technologies such as video processing, radar signal analysis, image recognition, machine learning, and deep learning, and actively explore their potential applications.

Job Requirements

1. Strong algorithm implementation skills, with proficiency in Python and C/C++ programming, as well as a solid understanding of fundamental deep learning concepts such as CNNs, RNNs, and LSTMs. 2. Familiarity with any of the deep learning frameworks—TensorFlow, PyTorch, MXNet, or Caffe—and demonstrated ability to perform custom development. Preference will be given to candidates with experience in model compression and pruning techniques. 3. Solid grasp of the underlying principles of deep learning algorithms, along with hands-on experience in deploying, optimizing, and porting these algorithms. Experience in customizing model operations (OP customization) is also highly desirable. 4. Prior experience in edge-device hardware development using platforms from manufacturers such as Rockchip, HiSilicon, or Allwinner, coupled with the ability to evaluate and select appropriate chip platform solutions. 5. In-depth knowledge of computer architecture, with expertise in the architectural principles of one or more embedded processor architectures, including but not limited to ARM, RISC-V, DSP, NPU, and FPGA. Candidates with experience in porting algorithms to embedded platforms—such as migrating machine learning and deep learning models to the aforementioned devices—are particularly encouraged to apply. 6. Excellent problem-solving and analytical skills, with a passion for tackling challenging issues. Additionally, candidates should demonstrate strong teamwork capabilities and a collaborative mindset.

Radar Systems Engineer

Work Location:Beijing, Chongqing

Required Major:Relevant majors include electronic information, signal processing, radio communication, and electromagnetic field & microwave technology.

Educational requirements:Master's degree

Number of recruits:1

Mid-to-High Level

Job Responsibilities

1. Responsible for validating and designing radar product solutions, developing comprehensive design plans, conducting technical design work, decomposing system-level specifications, and reviewing subsystem proposals. 2. Responsible for radar link design simulation, waveform development, system hardware implementation, chip selection, and architectural design. 3. Lead the formulation of vehicle-level, system-level, and production-line radar testing plans, providing support for IT & V testing, DV testing, and production-line validation processes. 4. Develop performance testing, debugging, and calibration plans for radar system integration, organize and execute field tests, and provide test requirements to the testing team. 5. Oversee the completion of competitive product analysis and benchmarking tests against competitors. 6. Participate in defining and executing the design and development of core algorithms and signal processing algorithms for the radar system. 7. Coordinate with antenna, RF, hardware, and algorithm design teams, develop testing and validation plans, and evaluate and optimize overall system performance. 8. Analyze and resolve technical issues encountered during the development process, leading efforts to overcome critical core technology challenges. 9. Prepare and document comprehensive reports and materials related to the radar system's overall design. 10. Lead root cause analysis and reporting for radar system-related issues, ensuring thorough investigation and effective communication of findings.

Job Requirements

1. Master's degree or above, with a major in Radar, Electronics, Communications, or a related field. 2. Proficient in radar systems and their fundamental principles, possessing strong expertise in millimeter-wave radar technologies. Familiar with millimeter-wave radar systems, as well as radar algorithms (including signal processing and data handling), IC architecture, and array signal processing. A solid understanding of imaging radar is also desirable. 3. Skilled in MATLAB, capable of performing radar signal processing, data analysis simulations, and Simulink-based link-level simulations using MATLAB. 4. Preference will be given to candidates with comprehensive experience in developing complete radar systems, demonstrating robust system design capabilities and advanced algorithm simulation skills. Candidates who have successfully transitioned system designs from simulation into production-ready equipment are highly valued. 5. Strong hands-on and programming abilities, enabling independent execution of radar testing and calibration tasks. 6. Proactive in work attitude, with excellent communication skills, a strong sense of responsibility, and a collaborative team spirit.

Algorithm Engineer (Signal Processing)

Work Location:Beijing, Chongqing

Required Major:Relevant majors include electronic information, signal processing, radar, and related fields.

Educational requirements:Master's degree

Number of recruits:1

Intermediate level and above

Job Responsibilities

1. Responsible for the design and simulation of signal processing algorithms for millimeter-wave radar systems. 2. Responsible for collaborating on and participating in field tests and trials, including data acquisition, processing, analysis, and troubleshooting. 3. Responsible for researching cutting-edge algorithmic technologies in the civilian millimeter-wave radar domain, as well as conducting simulation development. 4. Collaborate with software engineers to jointly complete embedded code development. 5. Organize, compile, and prepare design documents and test reports related to algorithms.

Job Requirements

1. Master’s degree or higher in a relevant field such as Electronic Information, Radar, or Signal Processing; 2. Proficient in common radar signal processing algorithms, including: FMCW, Pulse Compression, CFAR, MTI, MTD, and Monopulse Technology; 3. Familiar with array signal processing theories, such as MIMO, DBF, and DOA; 4. Skilled in using development tools like Matlab and Python; 5. Preference given to candidates with experience in developing civilian millimeter-wave radar products, as well as those with embedded system development experience; 6. Possessing a strong foundation in English, capable of proficiently reading foreign-language technical documents and literature.

Algorithm Engineer (Data Processing)

Work Location:Beijing, Chongqing

Required Major:Relevant majors such as electronic information, signal processing, and computer science.

Educational requirements:Master's degree

Number of recruits:1

Intermediate level and above

Job Responsibilities

1. Responsible for the development and debugging of multi-target trajectory tracking and prediction algorithms for automotive radar systems. 2. Responsible for addressing multi-target tracking challenges encountered in real-world applications of automotive radar. 3. Responsible for post-processing large-scale road test data from automotive radar systems to optimize target tracking algorithms. 4. Responsible for drafting technical documentation related to multi-target trajectory tracking algorithms for automotive radar systems. 5. Assist in automotive radar testing, data acquisition, and analysis processes. 6. Assist in the embedded software implementation of multi-target trajectory tracking algorithms for automotive radar systems.

Job Requirements

1. Educational Requirement: Major in Electronics, Signal Processing, Computer Science, or a related field; 2. Experience Requirement: Proficiency in developing multi-target trajectory tracking algorithms (for radar or other sensors); 3. Software & Tool Requirement: Expertise in MATLAB or C programming languages; 4. Familiarity with Millimeter-Wave Radar Principles, FFT, Kalman Filtering, DBSCAN, Multi-Target Clustering, and Tracking Algorithms.

Embedded Software Engineer

Work Location:Beijing, Chongqing

Required Major:Relevant majors such as Computer Science, Communications, Automation, and Electronic Science & Technology

Educational requirements:Master's degree

Number of recruits:1

Mid-to-High Level

Job Responsibilities

1. Responsible for the development of basic software requirements and architectural design for millimeter-wave radar, as well as the preparation of requirement documents. 2. Responsible for the integration, development, debugging, and configuration of the overall underlying software components, including bootloader, chip drivers, communication protocols, diagnostic functions, and application-layer protocols. 3. Responsible for the development and porting of bootloader software. 4. Responsible for the development and maintenance of network management, NVM, diagnostic, and communication protocol stack software. 5. Provide support to radar algorithm development engineers by offering interfaces between the ECU's underlying software platform and the application algorithms.

Job Requirements

1. Bachelor's degree or above in Computer Science, Software Engineering, or a related field, with hands-on development experience in embedded software development. 2. Proficient in C/C++ programming, possessing extensive experience in driver software debugging and embedded system development. 3. Skilled in configuring and compiling embedded development platforms. 4. Familiar with the use of CAN bus development tools and knowledgeable about code unit testing tools. 5. Experienced in ARM, DSP, and multi-core microprocessor architectures, with a solid understanding of low-level development techniques such as SPI, I2C, UART, CAN, LVDS, and Ethernet. 6. Familiar with development tools including Makefile, GCC, and version control systems. 7. Demonstrates strong adherence to coding and technical documentation standards, along with excellent teamwork skills and a proactive, positive attitude.

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