Discover our AI Jobs

Open Positions

Your responsibilities

  1. Physical/Chemical Property Testing
    Conduct microscopic inspection, load testing, corrosion resistance testing, electrochemical stability testing, etc., for electrodes.
  2. Electrode Reliability Testing
    Develop and execute electrode reliability test plans, including aging tests, fatigue tests, and long-term immersion tests.
  3. Test Platform Setup
    Build electrode performance test platforms, including electrochemical characterization systems for impedance spectroscopy and cyclic voltammetry.
  4. Test Documentation
    Prepare test plans, test reports, and related technical documents to ensure the integrity and traceability of test data.
  5. Process Optimization Support
    Collaborate with electrode R&D and production line teams on sample validation, and provide constructive feedback based on practical testing.
  6. Quality System Development
    Participate in establishing quality standards and control processes for electrode products.

Required qualifications and experience

  1. Education & Industry Experience
    Master’s degree or above in Microelectronics, Semiconductor, Physics, Materials, Electronic Engineering, or a related field. 3-5 years of experience in electrode testing or related hardware testing. Familiarity with testing and using neural probes (e.g., microelectrode arrays) or BCI chips is preferred.
  2. Professional Qualifications
    · Equipment Operation: Proficient in operating test equipment such as electrochemical workstations and impedance analyzers. Knowledge of characterization tools like SEM and profilometers is required.
    · Professional Knowledge: Familiar with key electrode performance metrics (impedance, charge injection capacity, signal-to-noise ratio, etc.) and their testing methodologies. Familiar with applying CNN, LSTM, Transformer in sequence data modeling.
    · Personal Attributes: Meticulous, patient, strong hands-on skills, high sense of responsibility, and excellent teamwork spirit.
  3. Preferred Qualifications
    Experience in medical device industry testing or CNAS (China National Accreditation Service for Conformity Assessment) laboratory operations is a plus.

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Neural Signal Processing and Decoding
    Develop decoding algorithms and conduct data processing/analysis for neural signals (e.g., EEG, ECoG, single-unit Spikes, peripheral nerve signals) in BCI systems. Design and implement algorithms for signal preprocessing (denoising, filtering, artifact removal), feature extraction, and neural decoding.
  2. Motor Intent/Neural Command Decoding
    Optimize decoding algorithms for signals like motor intent, covering EEG, ECoG, EMG, etc. Capable of decoding multiple types of electrical signals using technologies such as deep learning.
  3. Data Framework Development
    Establish a neural signal annotation system, analyze the correlation between data and physiological function, and build an automated processing pipeline from raw data to feature space.
  4. System Integration and Debugging
    Collaborate with hardware/embedded teams on system integration and debugging to ensure algorithm effectiveness in practical implantable systems. Able to operate signal acquisition equipment and assist in designing acquisition protocols and experiments.
  5. Cutting-edge Technology Tracking
    Track advancements in the BCI field (including applications of Generative AI, large models in neural decoding, etc.), conduct technical research, and facilitate the translation of innovations.

Required qualifications and experience

  1. Education & Industry Experience
    Master’s degree or above in Neural Engineering, Biomedical Engineering, Computer Science, Signal Processing, or a related field. 5+ years of experience in signal processing / machine learning algorithm development.
  2. Professional Qualifications
    · Signal Processing Skills: Familiar with characteristics and processing methods of neural signals (EEG, ECoG, EMG, spike potentials, etc.). Proficient in signal processing techniques like wavelet transform, time-frequency analysis, and independent component analysis.
    · Machine/Deep Learning Skills: Proficient in Python (or MATLAB) for data processing. Experienced in machine learning algorithms (SVM, Random Forest, XGBoost) or deep learning frameworks (PyTorch/TensorFlow). Familiar with applying CNN, LSTM, Transformer in sequence data modeling.
    · Mathematical Foundation: Solid mathematical background, familiar with probability theory, statistics, linear algebra, and optimization theory.
  3. Preferred Qualifications
    Experience with invasive BCIs (Spike/LFP decoding) is preferred. Experience in closed-loop neuromodulation algorithm development is a plus. Publications in top-tier conferences or patents are advantageous.

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Chip Architecture Design: Responsible for the system architecture design of invasive brain-computer interface chips, including defining the architecture of ultra-high-channel-count CMOS microelectrode array neural recording and stimulation chips.
  2. Analog & Mixed-Signal Circuit Design: Design low-noise, low-power analog front-end (AFE) circuits for neural signal recording, including key modules such as instrumentation amplifiers, filters, and analog-to-digital converters (ADCs). Possess design experience with large-scale ADCs, on-chip signal processing, and high-density sensor interfaces.
  3. Digital Logic & System Integration: Responsible for chip digital logic design (RTL design, synthesis, STA, etc.), support FPGA prototype verification, and lead chip layout design, verification, tape-out, and interaction with foundries.
  4. Low-Power & High-Integration Optimization: Analyze experimental observations and contribute to the optimization of electrodes and system performance.
  5. System-Level Constraint Optimization: Complete integrated circuit design considering system-level constraints such as signal integrity, power consumption, bandwidth, and thermal limits.
  6. Full-Flow Management: Lead the entire chip development flow, including schematic design, layout planning, verification, tape-out, and foundry collaboration. Cooperate with the hardware team to complete system-level verification and debugging.

 

Required qualifications and experience

  1. Education & Industry Experience: Master’s degree or above in Microelectronics, Electronic Engineering, or a related field. 5+ years of chip design experience with multiple successful silicon tape-outs, and experience leading key module or full-chip architecture design.
  2. Professional Qualifications
    · Analog/Mixed-Signal Skills: Solid professional background in analog and mixed-signal IC design, familiar with the design of modules such as low-noise instrumentation amplifiers, SAR/ΔΣ ADCs, DACs, and PLLs.
    · Digital Design Skills: Proficient in Verilog/SystemVerilog, familiar with ASIC front-end design flow (RTL design, synthesis, formal verification, STA), and knowledgeable about DFT design.
    · Tools & Platforms: Proficient in using EDA tools such as Cadence Virtuoso, Synopsys, or Mentor for full-custom circuit design and simulation.
    · Interdisciplinary Collaboration: Ability to collaborate closely with neuroscience and materials science teams, and capable of professional technical communication in English.
  3. Priority Conditions
    Ability to collaborate closely with neuroscience and materials science teams, and capable of professional technical communication in English.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Animal Experiment Execution
    Execute in vivo electrophysiological testing for BCI systems and implantable neural electrodes in both small and large animal models.
  2. Experiment Monitoring & Data Acquisition
    Monitor and advance electrophysiological animal experiments for implantable electrodes and BCI systems, ensuring adherence to the experimental timeline.
  3. Platform Setup & Surgical Procedures
    Establish neuro-electrophysiology experimental platforms, perform electrode implantation surgeries, and conduct electrophysiological data analysis.
  4. Phenomena Analysis & Optimization Feedback
    Analyze experimental observations and contribute to the optimization of electrodes and system performance.
  5. Behavioral Testing
    Assist in conducting behavioral tests and immunological assessments in rats or mice.
  6. Documentation & Data Management
    Organize and archive experimental data, and prepare detailed experimental reports and SOP documents.

Required qualifications and experience

  1. Education
    PhD in Biomedical Engineering, Neuroscience, Electronic Engineering, or a related field.
  2. Industry Experience
    3-5 years of relevant experience, familiar with various implantable neural electrodes, and experienced in animal neuro-electrophysiology, neural electrode, or optogenetics experiments. Able to analyze and address experimental observations and outcomes. Experience with large animal models (e.g., pigs, non-human primates) is a plus.
  3. Professional Qualifications
    Proficient in neuro-electrophysiology surgical procedures and experimental paradigms. Experience in paradigm design is preferred.
  4. Priority Conditions
    Strong hands-on and learning abilities, meticulous, responsible, and a good team player. Capable of reading English literature and independently researching relevant papers and technical documents.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Animal Experimental Design
    Lead the design of animal implantation surgical protocols for invasive neural electrodes, and plan acute/chronic electrophysiological data acquisition experiments.
  2. Experimental Platform Setup
    Establish multi-channel neuro-electrophysiological recording platforms, including the integration of in vivo electrophysiology recording systems, stimulation systems, and data analysis systems.
  3. Data Acquisition and Analysis
    Conduct neural signal acquisition, preprocessing, and analysis, and provide guidance on data quality assessment and noise troubleshooting.
  4. Cross‑team Collaboration
    Collaborate with electrode R&D and hardware engineering teams to drive the optimization and iteration of electrodes and systems based on experimental feedback.
  5. Standardization of Experimental Procedures
    Develop standard operating procedures (SOPs) for animal experiments, and mentor junior electrophysiology engineers.
  6. Regulatory Compliance
    Ensure that animal experiments comply with AAALAC and relevant animal welfare regulations.

Required qualifications and experience

  1. Education
    PhD in Neuroscience, Biomedical Engineering, Physiology, or a related field.
  2. Industry Experience
    3‑5 years of in vivo neuro‑electrophysiology research experience. Experience with non‑human primates or large animal models is preferred.
  3. Professional Qualifications
    Proficient in stereotaxic surgery, neural electrode implantation (including cortical and deep brain electrodes), and postoperative animal care. Familiar with multi‑channel neural signal recording systems (e.g., Blackrock, Intan, Neuropixels), and proficient in electrophysiological data analysis using MATLAB/Python. Experience in closed‑loop brain‑computer interface (BCI) experimental design is preferred.
  4. Priority Conditions
    Excellent English literature reading and academic writing skills. Experience in closed‑loop brain‑computer interface (BCI) experimental design is preferred. Publication of high‑impact SCI papers is a plus.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Product Requirements Analysis
    Collaborate with product managers to deeply understand clinical needs and translate them into scientific and technical problems.
  2. Electrode Development and Design
    Conduct in-depth analysis based on first principles, research competing products, and design competitive electrode products.
  3. Process Realization and Mass Production
    Be responsible for the process realization of electrode products, ensuring stable mass production, and promoting the transition of R&D achievements into products.
  4. Packaging and Testing
    Be responsible for the development of packaging processes and testing verification for neural electrodes; participate in processes such as microelectrode assembly, mechanical testing, aging testing, and electrochemical stability testing.
  5. Technical Documentation Management
    Write and maintain relevant technical documents, including process files, design specifications, and test reports, ensuring compliance with regulations and quality requirements.
  6. New Technology Tracking
    Be responsible for applied research on new technologies, materials, and processes, and track industry technology trends.

Required qualifications and experience

  1. Education
    Master’s degree or above in Materials Science, Microelectronics, Electronic Engineering, Biomedical Engineering, or a related field.
  2. Industry Experience
    3-5 years of experience in micro-/nano-fabrication or electrode product development. Experience in implantable medical device or MEMS device R&D is preferred. Familiar with micro-/nano-fabrication processes such as photolithography, coating, and etching, and have cleanroom work experience. Knowledge of electrode packaging processes and reliability testing methods; experience in sample verification and process optimization is required.
  3. Professional Qualifications
    Strong hands-on skills and ability to analyze and solve process-related issues; familiar with the entire product development lifecycle. Experience with medical device quality management systems (ISO13485) is a plus.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Core Electrode Development
    Design, select materials, and develop processes for core electrodes in BCI systems, including flexible microelectrodes, biocompatible conductors, and electrochemical electrodes.
  2. Multimodal Electrode Solutions
    Contribute to the development of technical solutions for diverse interfaces, such as ECoG and penetrating microelectrode arrays.
  3. Micro-Nano Fabrication & Packaging
    Develop and optimize micro/nano-fabrication and packaging processes for biosignal acquisition electrodes (e.g., sputtering, photolithography, electrodeposition, 3D printing).
  4. Performance Testing Platform Development
    Develop and maintain electrode performance testing platforms to evaluate electrical properties, mechanical performance, and long-term stability.
  5. System Integration Collaboration
    Collaborate with neuroscientists and algorithm engineers to advance closed-loop BCI solutions from electrode hardware to system integration.
  6. Technical Documentation
    Draft patents and technical documentation, assisting in product translation and regulatory filing processes.

Required qualifications and experience

  1. Education
    Master’s degree or above in Biomedical Engineering, Materials Science, Electronic Engineering, Micro-Nano Electronics, Neuroscience, or related fields.
  2. Industry Experience
    3-5 years of electrode R&D experience, familiar with flexible electronic materials, electrode interfacial electrochemistry, and micro-nano manufacturing technologies. Experience in BCI or electrode sensor development is preferred. Proficient in at least one electrode fabrication process, such as sputtering, screen printing, photolithography, electrodeposition, or 3D printing.
  3. Professional Qualifications
    Strong hands-on experimental and problem-solving skills, capable of independently completing device fabrication and optimization. Ability to communicate across disciplines, with both research thinking and engineering implementation skills.
  4. Priority Conditions
    Prior experience with SCI publications, invention patents, or product development is a plus.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Electrode Design & Material Development
    Conduct product design, material selection, and process development for invasive neural electrodes, including flexible microelectrodes and high-density electrode arrays.
  2. Micro‑/Nano‑Fabrication Processes
    Lead the development and optimization of micro‑/nano‑fabrication processes for electrodes, covering photolithography, thin‑film deposition (sputtering/CVD), etching (dry/wet), electroplating, etc.
  3. Performance Characterization & Optimization
    Establish electrode performance testing and characterization systems; evaluate electrical properties (impedance, charge injection capacity), mechanical properties (flexibility, fatigue resistance), and long‑term stability.
  4. Biocompatibility Verification
    Drive biocompatibility testing of electrode materials to meet biosafety requirements for implantable medical devices.
  5. Cross‑team Collaboration
    Work with packaging, hardware, and animal testing teams to advance electrodes from prototype to engineered products.

Required qualifications and experience

  1. Education
    Master’s degree or above in Materials Science & Engineering, Microelectronics, Biomedical Engineering, Chemical Engineering, or related fields.
  2. Industry Experience
    3‑5 years of experience in micro‑/nano‑fabrication or electrode R&D. Experience in MEMS, flexible electronics, or implantable medical device R&D is preferred.
  3. Professional Qualifications
    Proficient in at least one core micro‑/nano‑fabrication process (photolithography, sputtering, CVD, etching, electroplating, etc.) and experienced in cleanroom operations. Familiar with electrochemical characterization methods (EIS, CV, etc.) Strong research mindset and engineering implementation skills.
  4. Priority Conditions
    Knowledge of simulation tools (COMSOL, ANSYS) is a plus. Publication in SCI journals or relevant patents is advantageous.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Production Line Planning and Design
    Lead production line layout design, and process definition for invasive BCI products (e.g., implantable electrodes, neural signal processors).
  2. Process Development and Validation
    Drive the transition of micro/nano-electrode manufacturing processes from R&D to mass production, establishing process standards, work instructions, and quality control protocols.
  3. Equipment Selection and Implementation
    Manage equipment selection, procurement, installation, commissioning, and acceptance, and build a production equipment management system.
  4. Cleanroom and Quality System Development
    Lead the construction of cleanrooms compliant with Class III medical device requirements, and support the quality team in establishing an ISO13485 quality management system.
  5. Cost and Efficiency Optimization
    Continuously optimize production processes to improve line yield and capacity while reducing manufacturing costs.
  6. Team Building
    Build and train the production technology team, and develop production management systems.

 

Required qualifications and experience

  1. Education
    Bachelor’s degree or above in Mechanical Engineering, Microelectronics, Materials Engineering, Industrial Engineering, or a related field.
  2. Industry Experience
    5+ years of experience in high-end medical device or microelectronics manufacturing. Experience in production line setup or management is preferred; experience leading mass production of implantable devices (e.g., BCI, neurostimulators) is a strong plus. Hands-on experience with quality management tools such as Lean Manufacturing and Six Sigma. Proficient in process validation methodology (e.g., IQ/OQ/PQ). Experience in process development and mass production transfer is preferred.
  3. Professional Qualifications
    Familiar with MEMS, micro/nano-fabrication, flexible electronics processes, and cleanroom management standards.
  4. Management & Communication
    Strong project management and cross-departmental coordination skills.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai

Your responsibilities

  1. Platform Strategy and Operations
    Oversee the overall operational management of the invasive Brain-Computer Interface (BCI) R&D platform. Develop the platform’s technology roadmap and mid-to-long-term development strategy, ensuring alignment between R&D objectives and clinical translation pathways.
  2. Cross-Departmental Coordination
    Orchestrate collaboration among multiple teams, including electrode R&D, hardware engineering, animal testing, and clinical registration, to drive the efficient progress of interdisciplinary projects.
  3. Resource Integration and Project Management
    Coordinate internal and external resources (including universities, hospitals, suppliers, etc.), manage the parallel advancement of multiple projects, and control key milestones and delivery timelines.
  4. Funding and Budget Management
    Participate in financing activities and government project applications. Consolidate and manage the platform’s R&D budget to optimize resource allocation.
  5. Regulatory and Clinical Advancement
    Monitor NMPA/FDA registration regulations for Class III active implantable medical devices, and drive the translation of products from R&D to clinical trials

Required qualifications and experience

  1. Education
    Bachelor’s degree or above in Biomedical Engineering, Neuroscience, Electronic Engineering, Business Administration, or a related field.
  2. Industry Experience
    Minimum 5 years of experience in the high-end medical device / BCI / neurotechnology industry. Experience in R&D project management or platform operations is preferred. Excellent cross-disciplinary communication and team management skills. Prior experience in the brain-computer interface field is advantageous.
  3. Professional Qualifications
    Familiar with the full lifecycle management of Class III medical devices. Experience with regulatory registration and submission is a plus. Understanding of the invasive/semi-invasive BCI technology chain (electrode – chip – signal processing – animal testing – clinical), with the ability to assess technical and commercial risks effectively.
  4. Language Proficiency
    Strong written and spoken English skills, with the ability to follow international advancements in technology and regulations.

 

Beijing | Shanghai | Ningbo

jieying.wang@synsense.ai