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Design and develop neural interface implants focusing on minimizing tissue reaction and optimizing performance for brain-computer interfaces. Collaborate with cross-disciplinary teams on embedded systems, PCB design, and product verification. Ensure compliance with high-reliability standards and solve technical problems throughout all design phases.
As a Technical Recruiter at Neuralink, you will be responsible for sourcing, interviewing, and managing hiring pipelines for various technical and clinical roles. You will work closely with hiring teams, drive recruitment strategies, and build relationships with candidates and hiring managers to attract top talent.
As a Quality Systems Specialist, you will collaborate across teams to address quality issues via NCRs and CAPAs, ensuring regulatory compliance in FDA standards. Responsibilities include document management, data analysis, and establishing quality control processes. You will create reports on defect trends and support various audits while leading corrective actions to enhance operational quality.
The Quality Assurance Specialist will work with teams to ensure compliance with regulatory standards, including ISO, GLP, and FDA regulations. Responsibilities include maintaining protocols, conducting inspections, reviewing study compliance, preparing Quality Assurance statements, and facilitating training for staff.
The EPC Engineer is responsible for ensuring construction projects meet technical specifications, leading inspections, contractor scheduling, and quality control. They address challenges during construction, conduct reviews, and create reports to ensure compliance with design intent.
The Site Reliability Engineer will collaborate with cross-functional teams to ensure operational efficiency, solve hardware and software problems, and build robust infrastructure. Responsibilities include system monitoring, automation of processes, and driving software engineering best practices across the company.
The Senior Digital IC Verification Engineer will lead the verification team for neural recording and stimulation SoCs. Responsibilities include functional verification, developing automation flows, code coverage, and regression setup, while working on complex digital systems and test benches.
As a Design Assurance Engineer, you will ensure compliance with design and quality standards for brain-computer interface devices, focusing on software components. You'll collaborate with engineering teams to transfer designs to manufacturing, participate in risk management and statistical analysis, and support product development activities.
The OR Specialist will be responsible for surgical case coverage during the implantation of the Neuralink implant and process improvement projects. Responsibilities include surgical data collection and analysis, overseeing SOPs, supporting staff in product-related matters, collaborating with surgeons and hospital staff, and ensuring a safe operating room environment.
As a Senior Embedded Software Engineer, you will work on developing high-performance embedded systems for brain-computer interface devices. This role involves collaborating with cross-disciplinary teams, delivering reliable solutions, and possessing deep knowledge of embedded systems, including firmware development and debugging.
As a Systems & Process Engineer, you will gather requirements and design compliant processes to enhance efficiency and reduce costs. Responsibilities include process development, optimization, and adherence to quality standards across various areas such as manufacturing and data management.
As a Software Engineer in Robotics, you will write software for surgical robots emphasizing reliability and precision. The role includes hands-on engineering work and requires strong coding skills in system languages, particularly in a Linux environment. You will collaborate with experts to develop future brain-computer interfaces, focusing on high-reliability systems.
The Digital IC Design Engineer will focus on delivering micro-architecture and RTL implementation of low-power digital signal processors and hardware accelerators for brain-computer interfaces. Responsibilities include hardware/software interface design, complex system modeling, energy profiling, and collaboration with verification teams.