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Neural Brain Engineer Jobs (NOW HIRING)

Neuralink

Software Engineer, Next Gen

Austin, TX

As a Software Engineer, you will write, test and deploy software that interacts with our neural interfaces and other data acquisition systems to decode and modulate brain activity. We are looking for ...

ApplyMint

Software Research Engineer

Manhattan, NY · On-site

$226K/yr

Chiral family, the brain foundation model we introduced in 2025, learns directly from that neural data. Synchron Cognition Labs is hiring Research Engineers to work with Research Scientists to ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

... with the brain. These systems decode raw neural signals into useful actions, such as moving a ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

Astera Institute

Probe Engineer

Alameda, CA · On-site

$200K - $350K/yr

By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct ...

Devyantram

Lead Bioengineer

Ashburn, VA · On-site

$104K - $138K/yr

Role Summary You will own the living‑systems layer of Devyantram's platform end to end: the neural substrate of the CEREBRION bionic brain in both its living and engineered, materials‑based forms ...

Eonsystems

Senior Microscope Engineer

San Francisco, CA · On-site

$140K - $200K/yr

... neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational ...

Eonsystems

$140K - $200K/yr

... neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team consists of scientists and engineers, working closely together to define the engineering ...

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Neural Brain Engineer information

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How much do neural brain engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for neural brain engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a neural brain engineer?

A Neural Brain Engineer is a professional who designs and develops technologies that interface with the human brain, such as brain-computer interfaces, neural prosthetics, or devices for neurological research and therapy. They combine knowledge of neuroscience, biomedical engineering, electrical engineering, and computer science to create systems that can record, analyze, or stimulate neural activity. These engineers often work in research institutions, medical device companies, or academic settings to advance understanding of the brain and develop treatments for neurological conditions. Their work may include both hardware and software development, clinical testing, and collaboration with neuroscientists and clinicians.

What are some common challenges faced by neural brain engineers when working on brain-computer interface (BCI) projects?

Neural Brain Engineers often encounter challenges related to integrating complex hardware with biological systems, such as ensuring the compatibility and safety of neural implants. Managing data noise and signal quality in neural recordings is another frequent issue, requiring advanced signal processing techniques. Collaboration with neuroscientists, clinicians, and software developers is essential, as projects are highly interdisciplinary. Staying updated with rapid advancements in both neuroscience and engineering is also critical for success in this role.

What are the key skills and qualifications needed to thrive as a neural brain engineer, and why are they important?

To thrive as a Neural Brain Engineer, you need a strong background in neuroscience, biomedical engineering, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Familiarity with neural interfacing technologies, brain-computer interface (BCI) platforms, programming languages like Python or MATLAB, and relevant certifications in neurotechnology are typically required. Strong analytical thinking, problem-solving abilities, and collaborative communication skills help you excel in multidisciplinary environments. These competencies are crucial for developing innovative neural devices, advancing brain research, and ensuring safe, effective integration of technology with human biology.

What are popular job titles related to Neural Brain Engineer jobs?

For Neural Brain Engineer jobs, the most frequently searched job titles are:

Infographic showing various Neural Brain Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Software Engineer, Next Gen

Austin, TX

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

Full-time

Re-posted 8 days ago

Job description

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. 

Job Description and Responsibilities:

As a Software Engineer, you will write, test and deploy software that interacts with our neural interfaces and other data acquisition systems to decode and modulate brain activity. We are looking for hands-on engineers who are excited to own the end-to-end engineering of next-generation software systems for the control of neural stimulation, visual prosthesis (Blindsight) and medical imaging data pipelines. 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. The job responsibilities will include:

  • Developing, validating, testing, and deploying software systems
  • Writing algorithms to decode and modulate neural activity
  • Designing user experiences centered around neural control of devices
  • Mentoring others in achieving engineering excellence through code review, design review, and technical presentations
  • Presenting results in a collaborative setting
  • Working with neuroengineers and animal training specialists to support research sessions

Required Qualifications:

  • Bachelor's degree in computer science, a related field, or equivalent work experience
  • Fluent in modern high-performance backend languages (Python, Golang, C++, RUST)
  • HW/SW debugging skills with lab equipment
  • A strong understanding of engineering first principles
  • You are mission-driven and goal-oriented in your approach to solving problems
  • You are resourceful, flexible, and adaptable; no task is too big or too small
  • Excellent communication and collaboration skills

Preferred Qualifications:

  • Hands-on experience writing software that interacts with hardware such as robotics, control theory, human-robot interaction, or real-time systems
  • Working knowledge of compiled and system languages, ideally C/C++ or Rust
  • Experience developing software for macOS or iOS, in Objective-C/Swift

About You:

  • You find large challenges exciting and enjoy discovering and defining problems as much as solving them.
  • You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering reliable solutions.
  • You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and neural engineers
  • You are comfortable communicating across teams
  • You feel a sense of urgency to get things done sooner rather than later
  • Resourceful, flexible and adaptable; no task is too big or too small
  • You are comfortable working closely with animals in a research environment

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