1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronics, integrated circuits, computer science, etc.

3. Year(s) of experience: More than 5 years.

4. Experience in chip design and development: Deep understanding of the overall system architecture, application scenarios, and benchmarks, and capable of optimizing hardware based on software application requirements. Proficient in the chip design process, and familiar with both front-end and back-end design processes.

5. Familiar with basic knowledge of semiconductor digital circuits: Deep understanding of how digital circuits work, including standard cells, timing optimization, and static timing analysis (STA).

6. Problem-solving skills: Capable of analyzing complex circuit issues and offering optimized solutions. Capable of maintaining a clear analytical approach when debugging numerical or convergence problems.

7. Possessing strong learning, innovation and team communication skills to adapt to the fast-paced technological iteration and project cooperation. Capable of reading international cutting-edge technical literature and documentation, and staying up-to-date with the latest technological trends and R&D achievements.

8. Preferred qualifications:

Machine learning assistance optimization: Capable of utilizing machine learning algorithms to predict the optimization effects on critical paths, allowing for the quick identification of optimal solutions. Experienced in open-source RISC-V projects or related code development.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in electronic information, automation, computer or mathematics.

3. Year(s) of experience: More than 3 years of algorithm-related experience.

4. Proficient in one or more deep learning frameworks (e.g., PyTorch, TensorFlow, MindSpore, etc.), and familiar with relevant optimization techniques and tool chains.

5. Keeping abreast of the latest developments in the industry, be passionate about technology development and application, innovative and willing to challenge.

6. Experience in large language model training or deployment and optimization in practical service scenarios preferred.

7. Experience in leading major projects or publishing significant papers in the field of large language models preferred.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in computer science, software engineering, electronic engineering, etc.

3. Proficient in at least one programming language, such as Python or C++, with strong programming skills and good coding practices.

4. Familiar with the principles and development techniques of Agent systems, with relevant project experience preferred.

5. Excellent communication skills and strong teamwork skills, and capable of solving problems independently.

6. Proficient in machine learning, deep learning, and related technologies, with relevant project experience preferred.

7. Proficient in distributed systems, parallel computing, and related technologies preferred.

8. Experience in open-source projects preferred.

1. Educational Requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronic science and technology and computer science, and mathematics preferred.

3. Familiar with basic knowledge of computer theory, and proficient in programming with Python and C++. Familiar with theory knowledge of deep learning algorithms, well-versed in model training principles, and experienced with deep learning frameworks such as PyTorch.

4. Highly capable of AI algorithm implementation, and experienced in designing, coding, and debugging deep learning algorithms, including graph neural networks and reinforcement learning.

5. Experience in EDA algorithm R&D preferred. Experience in research of multi-task learning and large language model training optimization preferred. Experience in performance analysis and optimization preferred.

6. Capable of collaborating in a team, working independently, communicating interpersonally, working proactively, and bearing certain working pressure with a strong sense of responsibility.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronics, integrated circuits, computer science, etc.

3. Year(s) of experience: More than 3 years.

4. Experienced in semiconductor EDA tool development: Proficient in the use or development of other EDA tools (e.g., HSPICE, Spectre and Cadence Virtuoso). Proficient in chip design process, and familiar with simulation requirements in both front-end design and back-end design.

5. Familiar with basic knowledge of semiconductor analog and digital circuits: Deep understanding of the operating principles of analog circuits, including amplifiers, oscillators, and power management. Familiar with basic concepts of digital circuit design and mixed-signal design.

6. Parallel computing and high-performance computing (HPC): Proficient in multi-core processing, GPU acceleration, or distributed simulation techniques.

7. Experienced in SPICE core or similar simulator development, proficient in optimization methods for circuit simulation assisted by AI/ML, and participated in open-source projects such as Ngspice or Xyce, or related code development.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronic science and technology and computer science, mathematics, etc.

3. Year(s) of experience: More than 3 years.

4. Proficient in C/C++ programming languages, and capable of using scripting languages such as Python. Familiar with Linux/Unix context.

5. Proficient in data structures and fundamental algorithms (such as trees and graphs) and optimization algorithms. Understanding of multithreading and distributed computing.

6. Experience in EDA tool development preferred, especially with skills in combination optimization and solver application.

7. Experience in developing digital-physical design tools preferred. Experience in standard cell design preferred.

8. Capable of learning, collaborating in a team, working independently, communicating interpersonally, working proactively, and bearing certain working pressure with a strong sense of responsibility.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronic science and technology and computer science, mathematics, etc.

3. Year(s) of experience: More than 5 years.

4. Proficient in the Linux development context and parallel computing. Proficient in Python and C/C++, with a solid grasp of object-oriented programming concepts and good programming practices. Experienced in software engineering development projects.

5. Proficient in project management and building tools (including GIT) as well as development and management processes and tools.

6. Proficient in at least one software GUI development framework and relevant programming language. Proficient in applying machine learning and optimization algorithms. Proficiency in digital integrated circuits preferred.

7. Capable of collaborating in a team, working independently, communicating interpersonally, working proactively, and bearing certain working pressure with a strong sense of responsibility.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronic science and technology and computer science, and mathematics preferred.

3. Year(s) of experience: More than 3 years of relevant experience.

4. Familiar with basic knowledge of computer theory, and proficient in programming with Python and C++. Familiar with theory knowledge of deep learning algorithms, well-versed in model training principles, and experienced with deep learning frameworks such as PyTorch.

5. Highly capable of AI algorithm implementation, and experienced in designing, coding, and debugging deep learning algorithms, including graph neural networks and reinforcement learning.

6. Experience in EDA algorithm R&D preferred. Experience in research of multi-task learning and large language model training optimization preferred. Experience in performance analysis and optimization preferred.

7. Capable of collaborating in a team, working independently, communicating interpersonally, working proactively, and bearing certain working pressure with a strong sense of responsibility.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, integrated circuits, computer science, etc.

3. Year(s) of experience: More than 1 year of relevant experience.

4. Experience in utilizing randomization techniques, functional coverage, and assertion-based verification methods.

5. Proficient in object-oriented programming with C++ or SystemVerilog.

6. Understanding of mainstream design and verification tools (such as VCS or similar simulation tools, Verdi, GDB or other debugging tools) as well as verification methodologies (e.g., UVM).

7. Capable of test planning according to coverage criteria and creating test sets, including unit tests, random tests and so on.

8. Proficient in debugging, verification, and solving complex problems.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in electronic engineering, integrated circuit engineering, etc.

3. Year(s) of experience: More than 1 year of relevant experience.

4. Extensive hands-on experience in analog circuits.

5. Experience in ADC/DAC circuits preferred.

6. Reading habits of papers preferred.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in electronics/Microelectronics, etc.

3. Year(s) of experience: More than 3 years of CAD or chip R&D experience.

4. Proficient in ASIC chip design process.

5. Proficient in programming with Tcl, shell, and Python.

6. Proficient in mainstream EDA tools, such as Cadence, Synopsys, etc.

7. Have a strong sense of teamwork and responsibility, be proactive and have excellent communication skills.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in electronics/Microelectronics, etc.

3. Year(s) of experience: More than 2 years of experience in the design and verification of analog circuits or SRAM.

4. Experience with SRAM design verification preferred.

5. Experience in FinFET process design verification preferred.

6.Capable of learning quickly, communicating and coordinating, and working in a team.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in electronics/Microelectronics, etc.

3. Year(s) of Experience: More than 3 years of CAD experience in chip physical design, with physical design experience preferred.

4. Experience in scripting languages such as Python, Perl, and Tcl.

5. Capable of sound communication and coordination.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronic engineering, etc.

3. Year(s) of experience: More than 2 years.

4. Experience in IC back-end design or successful tape-outs.

5. Proficient in PNR, STA, DRC, LVS, DRC, etc.

6. Proficient in EDA tools such as ICC2, Innovus, Primetime, Calibre, and Redhawk. Experience in domestic design tools preferred.

7. Proficient in Tcl/Perl/Phython.

8. Proficient in communication in English.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in electronic information engineering, computer science, etc.

3. Year(s) of experience: More than 1 year of STA integration experience.

4. Proficient in PT, Tempus, DC, and Genus tools, with sound scripting skills in Tcl, shell, Python, Perl, etc.

5. Experience in Tessent or DFT tools in the industry and tape-out preferred.

6. High motivation and very strong problem-solving skills. Excellent written and verbal communication skills.

7. Excellent teamwork and verbal and written communication skills, with the ability to write clear and detailed technical reports and give PPT presentations.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in microelectronics, computers, artificial intelligence, etc.

3. Year(s) of experience: More than 3 years of experience in IT operation and maintenance, delivery, or after-sales support, preferably with to-B client support experience.

4. Detail-oriented, patient, and proactive, with a strong sense of customer service and excellent communication skills, and capable of handling high work pressure.

5. Proficient in the Linux operating system, shell scripting and Python scripting.

6. Skilled in managing and maintaining chip design tool License.

7. Proficient in Docker and K8S.

8. Proficient in AI frameworks such as PyTorch and Paddle, familiar with mainstream large language models and lightweight models focused on CV.

9. Experience in model training, inference, or deployment, and experience in distributed training on large language model preferred.

10. Strong skills in documentation, summarization, and analysis.

11. Willingness to short-term business travel, with a strong ability to learn quickly and excellent hands-on skills.

1. Educational Requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, integrated circuits, computer science, etc.

3. Year(s) of experience: More than 3 years of experience related to RTL design.

4. Proficient in Verilog, and familiar with SystemVerilog and the design flow of the optimized PPA (power consumption/performance/area).

5. Strong scripting skills with Python/Perl/Tcl. 

6. Proficient in high-speed interface IP protocols for advanced process nodes, including PCIe, DDR, USB, Serdes, AHB, etc. 

7. Experience in IP development preferred, including CPU, GPU, NPU, DPU, DSP, and ISP.

8. Tape-out experience preferred.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in integrated circuit design, microelectronics, semiconductor physics, etc.

3. Year(s) of experience: More than 2 years of experience in chip back-end design.

4. Familiar with solid basic theoretical knowledge of integrated circuit design, proficient in back-end layout design and implementation, with mastery and understanding of processes, PDK, DRC, LVS, and PEX.

5. Experienced in advanced processes and tape-out procedures.

6. Familiar with physical verification languages such as SKILL, SVRF, and TVF. Familiar with software development languages such as Python and Matlab.

7. Strong communication and expression skills in English, with College English Test-6 passed.

8. Passionate about developing new technologies, with a strong sense of teamwork, strong ability to work independently, strong interpersonal skills, proactive attitude, strong sense of responsibility, a strong desire to learn and strong learning ability.

1. Education requirement: Master's degree or above;

2. Major requirements: Majors in electronic information, automation, computer or mathematics;

3. Proficient in one or more deep learning frameworks (e.g., PyTorch, TensorFlow, MindSpore, etc.), and familiar with relevant optimization techniques and tool chains;

4. Keeping abreast of the latest developments in the industry, be passionate about technology development and application, innovative and willing to challenge;

5. Experience in large language model training or deployment and optimization in practical service scenarios preferred;

6. Experience in leading major projects or publishing significant papers in the field of large language models preferred;

7. Winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, and Kaggle preferred.

1. Education requirement: Master's degree or above;

2. Major requirements: Majors in microelectronics, integrated circuits, computer science, etc.;

3. Proficient in RTL design with SystemVerilog, with solid scripting skills with Python/Perl/Tcl;

4. Knowledge of power consumption optimization, with knowledge of the RISC-V instruction set, CPU architecture, and memory hierarchy preferred.

5. Familiar with Pipeline design principles and simulation technologies such as Zebu and FPGA.

6. Experience in design and tape-out processes related to out-of-order multi-issue CPU design, NoC and Cache preferred.

1. Education requirement: Master's degree or above;

2. Major requirements: Majors in microelectronics, integrated circuits, computer science, etc.;

3. Experience in utilizing randomization techniques, functional coverage, and assertion-based verification methods;

4. Proficient in object-oriented programming with C++ or SystemVerilog;

5. Understanding of mainstream design and verification tools (such as VCS or similar simulation tools, Verdi, GDB or other debugging tools) as well as verification methodologies (e.g., UVM);

6. Preferred to be familiar with hardware acceleration simulation technologies such as Zebu and FPGA.

7. Capable of test planning according to coverage criteria and creating test sets, including unit tests and random tests;

8. Proficient in debugging, verification, and solving complex problems.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in mathematics, statistics, electromagnetic field and microwave technology, microelectronics technology, semiconductor technology, electronic circuits, etc.;

3. Familiar with basic knowledge of mathematics and algorithms, including linear algebra, probability, calculus, data structures, algorithm design, machine learning, and deep learning.

4. Familiar with at least one deep learning framework, such as PyTorch, BoTorch, or TensorFlow. Proficient in common machine learning and deep learning algorithms and frameworks such as GPR, GA, PSO, CNN, etc.

5. Experience in the physical properties of high-frequency components and passive devices preferred.

6. Strong expression and communication skills in English, strong logical thinking and problem-solving abilities, and being diligent and responsible with excellent communication and teamwork skills.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, integrated circuits, etc.;

3. Proficient in Linux, and familiar with one or more scripting languages such as Tcl, Python, Perl, and shell;

4. Familiar with Verilog and basic knowledge of semiconductors, and certain basic knowledge of digital back-end design.

5. Experience with one or more of the following mainstream EDA tools: ICC2/Innovus/PTCalibre/RedHawk/Quantus/DC/Formality;

6. Good at summarizing and optimizing processes, adept at identifying problems and taking the initiative to solve them, with excellent communication and expression skills as well as teamwork abilities.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in microelectronics, electronic science and technology and computer science, and mathematics-related majors preferred;

3. Familiar with basic knowledge of computer theory, and proficient in programming with Python and C++; Familiar with theory knowledge of deep learning algorithms, well-versed in model training principles, and experienced with deep learning frameworks such as PyTorch;

4. Highly capable of AI algorithm implementation, and experienced in designing, coding, and debugging deep learning algorithms, including graph neural networks and reinforcement learning.

5. Experience in EDA algorithm R&D preferred; Research experience in multi-task learning and large model training optimization preferred. Experience in performance analysis and optimization preferred.

6. Capable of collaborating in a team, working independently, communicating interpersonally, working proactively, and bearing certain working pressure with a strong sense of responsibility.

1. Education requirement: Master's degree or above;

2. Major requirements: Majors in microelectronics, electronic science and technology and computer science, and mathematics-related majors;

3. Proficient in C/C++ programming languages, and capable of using scripting languages such as Python. Familiar with Linux/Unix context.

4. Proficient in data structures and fundamental algorithms (such as trees and graphs) and optimization algorithms; Understanding of multithreading and distributed computing;

5. Experience in EDA tool development preferred, especially with skills in combination optimization and solver application;

6. Experience in developing digital-physical design tools preferred; Experience in standard cell design preferred.

7. Capable of learning, collaborating in a team, working independently, communicating interpersonally, working proactively, and bearing certain working pressure with a strong sense of responsibility.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in electronic information, automation, computer or mathematics.

3. Familiar with the principles and frameworks of large language models, preferably with experience in fine-tuning large models and building local knowledge bases.

4. Proficient in one or more deep learning frameworks (e.g., PyTorch, TensorFlow, or MindSpore) and familiar with deploying and optimizing their tool chains.

5. Proficient in programming with Python and writing shell scripts.

6. Keeping abreast of the latest developments in the industry, be passionate about technology development and application, innovative and willing to challenge.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in microelectronics, integrated circuits, computer science, etc.

3. Experience in utilizing randomization techniques, functional coverage, and assertion-based verification methods.

4. Proficient in programming with C++ and SystemVerilog.

5. Understanding of mainstream design and verification tools (such as VCS or similar simulation tools, Verdi, GDB or other debugging tools) as well as verification methodologies (e.g., UVM).

6. Capable of test planning according to coverage criteria and creating test sets, including unit tests and random tests.

7. Proficient in debugging, verification, and solving complex problems.

1. Education requirement: Bachelor degree or above.

2. Major requirements: Majors in computer science, software, etc.

3. Familiar with Python and basic knowledge of programming.

4. Experienced with Web crawling techniques, including HTML, XPath, regular expressions, AJAX, HTTP protocol, and Selenium.

1. Education requirement: Master's degree or above.

2. Major requirements: Majors in computer science, software engineering, electronic engineering, etc.

3. Proficient in at least one programming language, such as Python or C++, with strong programming skills and good coding practices.

4. Familiar with the principles and development techniques of Agent systems, with relevant project experience preferred.

5. Excellent communication skills and strong teamwork skills, and capable of solving problems independently.

6. Proficient in machine learning, deep learning, and related technologies, with relevant project experience preferred.