Team Description:

The BCI Applications Team is responsible for building Telepathy.app—software which enables people with paralysis to use computing devices with precision and ease, via thought alone. Our team spans a wide range of disciplines, from neuroscience and machine learning to software engineering and interface design.

Job Description:

We’re looking for an experienced UI Design Engineer to conceptualize, prototype, and ship novel computing interfaces tailored for BCI. Our ideal candidate will possess the following qualities:

• Passion to explore an open-ended, multi-disciplinary, constrained space where design choices are informed by neural structure, model architecture, radio bandwidth, and more. For instance, a slight difference in an animated spring coefficient can change perceptual response time, shifting the alignment of labels and the performance of our decoders. You will actively collaborate with domain experts within and outside the team to understand these constraints and design your way around them
• An intuitive sense for what level of fidelity to reach for when navigating this space, be it a conversation, a rough sketch, or a testable prototype
• Excitement to work within and push the boundaries of an entirely new medium of interaction without the traditional sensory feedback of existing physical input devices (e.g., the kinetic friction of glass along the surface of a trackpad, or the resistive pressure of a spring during a keypress)
• The ability to empathize with and design for people with a sensory experience that differs from your own, and ambition to build something that feels magical, beyond the local minima of that which “works.” You’ll do whatever it might take to deliver that experience, be it a highly optimized vertex shader or a custom property animator, while maintaining an extremely high bar for fluidity and detail throughout
• A strong point-of-view, without ego—you may occasionally pursue a hunch that not everyone on the team agrees with, but are relentless about testing, deleting, and learning from ideas that don’t work

Job Responsibilities:

• Design, prototype, build, and ship novel computing interfaces for BCI
• Work with study participants to iterate on and further refine these interfaces
• Collaborate with domain experts in neuroscience, machine learning, and implant engineering to maximize the precision and fluidity of these interfaces within our constraint-space

Required Qualifications:

• Bachelor’s degree in Computer Science, Human-Computer Interaction, or related field; or equivalent experience
• A portfolio of demonstrated experience designing and shipping features end-to-end (i.e., initial conceptualization → nth prototype → initial release → nth iteration)
• Proficiency in Apple frameworks (i.e., SwiftUI, UIKit/AppKit, and/or Metal) or an equivalent and transferable stack (i.e., React, Three.js, WebGPU). 
• Familiarity with Objective-C, C, and/or C++

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Job Description and Responsibilities:

• Develop computational models of, and design encoding strategies for, electrical stimulation
• Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
• Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
• Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
• Present results in a collaborative setting

Required Qualifications: 

• Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
• 4+ years of academic or industry experience
• A strong understanding of the scientific method and engineering first principles
• Fluency with Python for data analysis

Preferred Qualifications: 

• Experience with modern statistical inference and machine learning, including for machine vision applications
• Experience with neural stimulation
• Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
• Experience modeling electric fields using finite element modeling (FEM)
• Experience building and programming experimental instrumentation 
• Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface

About the Team:

The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.

About the Role:

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.

Job Responsibilities:

• Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
• Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
• Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
• Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
• Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.

About You:

• Experience writing production-level C/C++/Rust and Python
• Proven track record of designing, building, and shipping real-time ML products
• Strong foundation in signal processing, algorithms, and software engineering principles
• Bachelor’s degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. The team works closely with the PRIME clinical study patients which allows them fast and direct feedback about new features from users. The work in the team is multidisciplinary and team members have diverse backgrounds in software engineers, design engineering, ML engineering and neuro-engineering.

Job Description and Responsibilities:

As a Software Engineer in the BCI team, you will collaborate with our users, specifically clinical trial participants, to comprehend their requirements and engineer brain-computer interface software systems that deliver exceptional user experiences. You will take the lead in creating innovative applications, implementing new features, and resolving existing issues to enhance the overall functionality of the software.

• Develop, test, and validate software systems
• Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces
• Work with study participants to iterate on and further refine the software
• Mentor others in achieving engineering excellence and be a catalyst on the team through code review, design review, and technical presentations
• Write algorithms to decode brain activity
• Design user experiences centered around brain control

Note: The team is hiring software engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications: 

• Strong experience with full-stack development; experience with native (desktop/ Android/ iOS) preferred 
• Strong experience in operating system knowledge in low latency concurrency programming, memory management and networking
• Fluent in programming languages such as Swift, Objective-C, Kotlin or Java
• Experience in architecting elegant, maintainable, performant and reliable user facing software applications 
• Evidence in delivering high-impact projects to users or businesses with clear metrics and fast iteration cycle
• Evidence of exceptional ability in engineering
• Strong understanding of engineering first principles
• You are resourceful, flexible, and adaptable; no task is too big or too small
• Excellent communication and collaboration skills
• Bachelor’s degree in Computer Science or a related field or equivalent experience

Fast forward to 37:43 to learn more about software and UI: