Responsible for system analysis, specification analysis and IP selection of chip security system.

Work with the chip designer to clearly define the chip's security technical specifications, and break down into the security requirements and functional definitions of each subsystem.

Investigate and evaluate of the security specifications of the relevant competing products and the overall security software solution.

Evaluate the security module and specifications of the chip in various application scenarios and critical paths to achieve the overall design requirements of the chip.

Design the software security architecture and define the relevant security specifications, such as secure boot, encryption and decryption, key management, SE module, etc.

Guide other security software engineers to do the chip validation, chip bring-up and software security design and optimization.

Guide the optimization of the final system safety and achieve mass production.

Be proactive, responsible, innovative, thoughtful and communicative.

Bachelor/Master degree or above with EE, CS or related background.

At least 8 years’ experience in TEE or other security software development.

Good knowledge and experience in ARM/TrustZone and RISC-V/Multizone Environment.

At least 3 years' experience in SoC security evaluation or platform selection.

Good programming skills in C/C++ and Assembly language.

Be knowledgeable about TEE OS including Trusty TEE and OP TEE.

Experience in developing symmetric and asymmetric cryptographic algorithms.

Be experienced and skilled in debugging system bring-up and stability issues in both primitive and complex environment.

Responsible for system analysis, specification analysis and IP selection of chip security system.

Work with the chip designer to clearly define the chip's security technical specifications, and break down into the security requirements and functional definitions of each subsystem.

Investigate and evaluate of the security specifications of the relevant competing products and the overall security software solution.

Evaluate the security module and specifications of the chip in various application scenarios and critical paths to achieve the overall design requirements of the chip.

Design the software security architecture and define the relevant security specifications, such as secure boot, encryption and decryption, key management, SE module, etc.

Guide other security software engineers to do the chip validation, chip bring-up and software security design and optimization.

Guide the optimization of the final system safety and achieve mass production.

Bachelor/Master degree or above with EE, CS or related background.

At least 8 years‘ Experience in TEE or other security software development.

Good knowledge and experience in ARM/TrustZone and RISC-V/Multizone Environment.

At least 3 years' experience in SoC security evaluation or platform selection.

Good programming skills in C/C++ and Assembly language.

Be knowledgeable about TEE OS including Trusty TEE and OP TEE.

Experience in developing symmetric and asymmetric cryptographic algorithms.

Be experienced and skilled in debugging system bring-up and stability issues in both primitive and complex environment.

Be proactive, responsible, innovative, thoughtful and communicative.

Research and develop AI algorithms for the multimedia subsystem pipeline including but not limited to object and pattern recognition, classification, segmentation, tracking, speech recognition, and low-level image/video algorithms such as denoising, demosaicing, super-resolution.

Work with hardware and architecture team to research and explore hardware-friendly AI algorithms and implementations, and AI processor architectures optimized and customized for specific type of AI algorithms.

Act as the algorithm representative during system level hardware/software integration, and assist teams to efficiently port AI algorithms to AI processors through quantization, network compression, and other techniques to meet the performance and power constraint.

MS/PhD in relevant field (EE, CS, Mathematics, Statistics), with 3+ years of multimedia algorithm development experience.

Solid background in signal/image processing and computer vision theory.

Proficient in C/C++ and solid Python programming skills.

Familiarity with the common data structure and algorithms.

Solid background in the fundamental theory of machine learning and deep learning.

Familiarity with at least one of the Tensor flow/PyTorch/MxNet/Caffe programming frameworks.

Work and design on the motion planning system architect.

Design and Implement production-grade algorithms.

Develop trajectory planning, route planning and behavioral planning for autonomous vehicle.

Implement and test algorithms in simulation environment.

Work with other internal autonomy teams to help to continuously improve and refine the self-driving system.

Master or Ph.D. degree in Robostics, CS or related field.

Solid programming and high working proficiency in C++.

5+ years of related working experience.

Strong leadership and communication skills is a plus.

Experience in ROS.

Industrial experience in the development of autonomous vehicles, behavior estimation and decision making.

Publications in top conferences/journals in a related field or equivalent experiences.

Design and develop R&D tools for developers and researchers to visualize various in-vehicle and offline data.

Customized 3D modeling framework development for rendering both simulation and real-world scenarios.

Develop map overlays and real-time charting components.

Design and develop modularized and reusable web-based R&D tools/applications with React/React Native and/or similar tools.

Develop cross-platform components to interact with both onboard systems and cloud services.

Play a key role in attracting competent talents and conducting screenings and interviews with potential candidates of the team as the company and the department grows.

M.S with 2+ / B.S. with 5+ years of experience in Computer Science or related field.

Proficiency in JavaScript and/or Typescript.

Good understanding of mathematical foundations of computer graphics.

Experience with WebGL and related libraries such as three.js. and knowledge of OpenGL and rendering pipelines is a plus.

Familiarities in data visualization, experience with libraries such as D3.js, Deck.gl, or charts.js. and familiar with Restful API, Swagger, and related modern web development tools.

Knowledge of Protobuf and gRPC is a plus.

Familiarities in backend languages such as Java, C++, Python, Node.js is a plus.

Experience with Unreal Engine HTML5 or Unity WebGL is a plus.

Develop efficient and powerful visualization applications to help visualize simulation results, to be used by the entire company.

Research and develop algorithms in sensor simulation.

Develop efficient scenario creation tools, including convenient ways to specify the agent’s behavior and evaluation metrics, parameterized scenario generation, etc.

Bachelor’s degree or higher in Computer Science or related disciplines.

Solid programming and proficient in C++ and/or Python.

Attentive to detail and strive for engineering excellence.

Team player with good communication skills.

Develop and maintain the functional safety development plan.

Translate the functional safety concept(FSC) and technical safety concept(TSC) into the detailed module level safety requirements.

Perform the safety architecture design.

Lead the safety mechanism and safety strategy design for hardware and software element.

Perform and manage the execution of the safety activities, such as FMEA, FTA, etc.

Perform the evaluation of the hardware and software safety metrics.

Lead reviews for safety process work products.

Develop the comprehensive verification and validation plan for functional safety requirements.

Review the functional safety test report and lead the problem solving.

Follow company development and quality process.

Excellent business acumen and analytical skills.

Strong sense of ownership mentality and can-do attitude.

Great interpersonal, communication and negotiation skills.

Result-oriented and possess the passion and drive for success.

Ability to perform under pressure in a fast-paced environment.

Ability to effectively manage ambiguity, complexity and competing priorities.

High proficiency in Microsoft Office tools is a must.

Working on software system integration on autonomous driving truck.

Working on operating system, middleware for autonomous system.

Working on sensor and device driver development.

Analyzing performance for autonomous driving software stack.

Debugging software and hardware bugs for autonomous driving truck.

Master degree in Computer Science, Computer Engineering or Electrical Engineering，or Bachelor degree in equivalent majors with at least 3 years experience in software developing and testing.

At least two years experience with popular robotics middleware including but not limited to ROS, Apollo and RT-MAPs.

At least two years academic or industrial experience with autonomous driving vehicle.

Familiar with autonomous driving vehicle software component including perception, localization, motion planning and control.

Experience working with sensors including but not limited to Lidar, radar, camera, IMU, GPS.

Familiar with communication protocol including but not limited to TCP, UDP, USB, CAN bus, I2C, SPI.

Familiar with multi-threading programming and inter-process communication.

Proficient in C++ and Python and having good knowledge of commonly used debugging tool including gdb and pdb.

At least two years experience with Linux.

Signal and Power integrity analysis.

Board level testing and debug.

Active collaboration with hardware & firmware team for board bring-up.

Create test plans, validate designs and document test results.

Generate designs robust in presence of ESD, EMI and challenging thermal environments.

Author clear design documentation and test procedures.

Actively participate in design qualification with reliability and validation team.

Design for functional safety.

BS/MS in Electrical Engineering or related field.

7+ years hands-on testing of complex embedded system.

Experience with PCIe, 1/10 Gigabit Ethernet, GMSL2, MIPI, CAN, SPI, I2C, LIN, RS232, DDR.

Experience with SI and PI analysis tools for Multi-Gigabit signaling.

Experience carrying complex electronic designs from concept through mass production.

Ability to thrive within compressed development schedules prioritizing time to market and development of multiple SKUs in parallel.

Excellent problem-solving skills.