Preclinical & Clinical Engineering Lead

Subsense; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Medical insurance

Dental insurance

Vision insurance

401(k)

Commuter benefits

Paid time off

Job summary

Subsense is hiring an experienced, hands-on engineer to own the engineering side of our translational program, spanning large-animal studies through first-in-human and early feasibility studies. The role will operate in OR/vivarium settings, coordinating with clinicians, veterinarians, and cross-functional teams to ensure data quality.

You will design and run work within system engineering, building a network of labs and CROs to activate studies quickly and translate findings into engineering

Qualifications

• Experience leading translational preclinical programs.
• Experience with large-animal studies and GLP/IACUC protocols.
• Ability to design and troubleshoot complex biomedical systems.

Responsibilities

• Own the engineering side of the translational program from large-animal studies to first-in-human (FIH) and early feasibility studies (EFS).
• Set up, run, and troubleshoot hardware in operating room or vivarium.
• Define device data logging, endpoints, and data capture requirements across studies.
• Identify, qualify, and manage preclinical CROs and academic labs in the US and internationally.
• Lead and train engineers, technicians, and contractors supporting study execution.

Skills

System engineering

Cross-functional collaboration

Hands-on leadership

In vivo studies

Data analysis

Education

PhD in biomedical engineering or related field

Tools

Python

MATLAB

Imaging systems

Job description

About Subsense

Subsense is a deep-tech company developing the world’s first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human–machine interaction.

The Opportunity

We are hiring an experienced, hands-on engineer to own the engineering side of our translational program, from large-animal studies through first-in-human (FIH) and early feasibility studies (EFS). You will be in the operating room or vivarium on study days. You will set up, run, and troubleshoot our hardware/system alongside clinicians, veterinarians, system engineers and scientists, and you will make sure every study produces data we can trust and use.

You will design and run the work mainly within system engineering, and you will bring a working network of large-animal labs, preclinical CROs, academic collaborators, and clinical investigators that you can activate quickly. You will work closely with our R&D, and with cross functional teams, and you will be the person who turns what we learn in each study into the next engineering iteration.

Large-animal studies (swine, other models including non-human primate)

• Plan, prepare, and personally support non-GLP and GLP large-animal studies.
• Work with study directors, veterinarians, engineers and scientists on study design, device configuration and operating parameters, device-related endpoints, data capture plans, and deviation handling. Owning IACUC protocol preparation and amendments.
• Install, calibrate, and operate study systems in the operation suite or vivarium, including stereotactic or image-guided positioning, delivery hardware, and integration with anesthesia monitoring and imaging (fluoroscopy/X-ray, CT, MRI, ultrasound). Resolve problems in real time.
• Write SOPs, setup checklists, and pre-study device readiness checks (configuration control, calibration, functional verification) so that results can be compared across animals, cohorts, and sites.
• Identify, qualify, and manage preclinical CROs and academic large-animal labs in the US and internationally. Scope studies, review quotes and statements of work, build timelines, transfer methods, run site visits, and keep technical oversight of outsourced work.

Path to first-in-human

• Produce the device-side preclinical evidence (performance, safety, biocompatibility (ISO 10993) inputs, electrical/thermal/acoustic/magnetic exposure, usability) needed for Pre-Submissions and an IDE/EFS application, working with Regulatory and Quality.
• Translate the animal procedure into a clinical workflow. Support site selection and setup, develop device training for neurosurgeons, interventional neuroradiologists, and clinical staff, and act as the technical lead in the room during early human cases.
• Define device logging, data capture, and chain-of-custody requirements so the team can reconstruct operating conditions, investigate anomalies, and defend data quality.
• Lead root-cause investigations of device deficiencies, deviations, and adverse events. Turn study observations and user feedback into prioritized design inputs, engineering updates, and verification changes.
• As a hands-on technical leadership role, guide and train the engineers, technicians, and contractors who support study execution.

Nice to have

• Experience with neuromodulation, neural recording/BCI, deep brain stimulation, or neurovascular/endovascular devices, especially studies targeting deep-brain structures.
• Experience with magnetic/optical/photonic/ultrasound systems for in vivo applications.
• Experience with wearable or head-mounted external systems: positioning, coupling, exposure control, thermal monitoring, and acoustic/magnetic/optical output characterization.
• Stereotactic or image-guided neurosurgical procedures and image registration.
• Contributed to FDA Pre-Submissions, IDE applications, or Breakthrough Device Designation requests.
• Experience at international CROs or sites (e.g., EU) and with study data standards and transfer.
• IEC 60601 electrical safety/EMC and human factors/usability engineering (IEC 62366).
• Data and analysis tools: Python and MATLAB for analysis; neural data acquisition and analysis; statistics and clinical data capture.

Why You’ll Thrive

You'd be joining a small teamdeveloping a non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. You’ll help translate early research into working technology, with the opportunity to influence both the platform and how we build it.

A few things that make this different:

• Own meaningful technical work: Take projects from early R&D through functional prototypes, with room to test ideas, solve complex problems, and shape design decisions.
• Build across disciplines: Work hands-on with ultrasound, electronics, and instrumentation alongside scientists and engineers in neuroscience, nanotechnology, and AI.
• Help shape a novel platform: Contribute to technology with the potential to restore neurological function and, over time, enable direct brain-to-AI communication.
• Make a visible impact: Join a team where your contributions directly influence technical progress, with equity that lets you share in the company’s growth.

Our work takes place across labs in Palo Alto and Mountain View. We offer a competitive salary, equity, and comprehensive benefits, including medical, dental, and vision coverage, a 401(k), commuter benefits, and paid time off.

Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.