Human Neuroscientist
Job description
About the role
Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.
Key facts
What you'll do
Designing and running human ultrasound neuromodulation studies assesses brain stimulation effects for product decisions.
Combining multiple evidence sources in experimental design strengthens conclusions about brain response as a study protocol.
Communicating scientific results to engineering and cross-functional team members directs product decisions and supports intervention strategies.
Contributing to strategies for targeting new neuromodulation pathways uses internal and external research insights to identify promising targets for human intervention.
Requirements
A PhD or postdoc in cognitive neuroscience, neuroengineering, or a related science or engineering field is required to confirm advanced training.
Exceptional proficiency in interventional data acquisition and analysis using fMRI, behavioral, and physiological measurements is required to ensure rigorous monitoring.
Exceptional proficiency in statistical analysis is required to evaluate experimental outcomes and model data patterns for inference.
Carrying out analyses in Python, R, and/or MATLAB is required for data processing, and reproducible workflows with rapid iteration are supported by tool usage.
Experience with brain stimulation in humans, ideally with transcranial ultrasonic stimulation, is required to ensure protocol feasibility and safety.
A demonstrated history of exceptional technical contribution is required to drive project milestones at the intersection of hardware, software, and neuroscience.
Strong neuromodulation and neurophysiology first principles are required to guide experimental choices and interpret brain response measures correctly.
High integrity and strong professional judgment are required in scientific decision making and collaboration to uphold ethical conduct and rigorous standards.
Practical notes
The role is based in San Francisco with full-time onsite engagement. Typical interview steps
Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.
Career growth
Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.
Questions to ask
Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.
About the company
At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth.