Autonomous driving company TuSimple is recruiting for 2022, welcome to apply
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This post was last edited by tusimple on 2022-1-13 10:26
Autonomous driving company TuSimple 2022 recruitment announcement
Company Introduction
TuSimple (NASDAQ: TSP) was founded in September 2015 and has R&D centers in China and the United States, with more than 1,000 employees and more than 770 core patents. In April 2021, TuSimple officially landed on the Nasdaq and was listed.
TuSimple is the world's first listed company in the field of autonomous driving. It provides autonomous truck technology that can be commercialized on a large scale to the world, and has launched the world's first autonomous freight network (Autonomous Freight Network, AFN) to enable autonomous trucks to safely and reliably carry out warehouse-to-warehouse transportation, empowering the global logistics and transportation industry.
TuSimple's independently developed L4 autonomous truck solution uses cameras as the main sensor and integrates lidar and millimeter-wave radar. It has core autonomous driving functions such as perception, positioning, decision-making, and control, and can realize fully autonomous driving of freight trucks in trunk logistics scenarios and semi-closed hub scenarios.
At present, TuSimple has taken the lead in launching testing and commercial trial operations in many places in China, the United States and Europe, and continues to obtain main revenue.
Open positions
【Software R&D Engineer - Domain Controller】
Job Responsibilities
1. Design and develop high-performance, easily scalable, automotive-grade autonomous driving domain controller software, such as engineering framework / system resource management / communication components / tool chain and other subsystems;
2. Responsible for the software performance analysis and optimization of the autonomous driving domain controller;
3. Participate in software architecture design under distributed heterogeneous systems.
Job Requirements
1. Proficient in C++ , familiar with common data structures and design patterns, and have solid basic programming skills;
2. Familiar with the working principles and related knowledge of Linux/QNX operating system, and have a deep understanding of software modularity and portability;
3. Have strong problem-solving ability and self-motivation.
Bonus Points
1. Have experience in vehicle-side software implementation projects;
2. Experience in NVIDIA Xavier development.
【Hardware Engineer】
Job Responsibilities
1. Responsible for the design of electronic circuits related to autonomous driving vehicle computing platform and domain controller;
2. Responsible for the selection and evaluation of autonomous driving computing platform and sensor system hardware;
3. Responsible for PCBA hardware circuit debugging and software and hardware joint debugging;
4. Responsible for the organization and verification of hardware-related documents in the project.
Job Requirements
1. Have solid basic knowledge of digital and analog circuits;
2. Proficient in mainstream schematic and PCB design tools, and able to independently complete circuit design and production work;
3. Have hardware design experience in at least one of the platforms: FPGA or ARM ;
4. Master the basic knowledge of Layout ;
5. Experience in Xilinx FPGA peripheral circuit design.
Bonus Points
1. Familiar with ISO26262, TS16949 and other automotive industry related standards;
2. Experience in ADAS product development, design and testing.
More positions are open for recruitment at the same time. For details, please scan the QR code at the end of the article to view the company's recruitment official website
Recruitment Process
Interview: The interview process consists of two rounds of technical interviews and one round of HR interview (online technical interviews can be conducted)
Office Address
Office building: No. 56-1 Liangmaqiao Road, Chaoyang District, Beijing
Delivery method
Online application: Log in to TuSimple's recruitment website and submit your resume online
For more recruitment questions, please email TuSimple HR: careers@tusimple.com , jiapeng.ma@tusimple.ai
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