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Neuroscience Engineering Jobs (NOW HIRING)

Source, engage, assess, and close exceptional talent across engineering, hardware, ML, biotech, and neuroscience * Partner with hiring teams to design high-signal candidate evaluation tactics and ...

Sr Systems Engineer

San Diego, CA · On-site

$156K - $170K/yr

The ideal candidate has proven experience in applying advanced systems engineering principles to ... Aspen Neuroscience is committed to providing equal employment opportunities to all employees and ...

Sr Systems Engineer

San Diego, CA · On-site

$156K - $170K/yr

The ideal candidate has proven experience in applying advanced systems engineering principles to ... Aspen Neuroscience is committed to providing equal employment opportunities to all employees and ...

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Neuroscience Engineering information

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How much do neuroscience engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for neuroscience engineering in the United States is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $114,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Neuroscience Engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

What does a neuroscience engineer do?

A neuroscience engineer designs and develops technologies to study and treat the nervous system, such as brain-computer interfaces, neural implants, and diagnostic tools. They often work with interdisciplinary teams, utilize engineering principles, and may require knowledge of biology, electronics, and programming. Their work supports advancements in medical devices, neuroprosthetics, and neurological research.

What are the key skills and qualifications needed to thrive as a Neuroscience Engineer, and why are they important?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What engineers make $500,000?

Senior neuroscience engineers or biomedical engineers working in specialized fields such as neurotechnology, brain-computer interfaces, or medical device development can reach salaries around $500,000, especially with extensive experience, advanced degrees, and leadership roles. High compensation often involves working in innovative environments, with skills in software, hardware, and data analysis, and may include stock options or bonuses.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering roles often require knowledge of both neuroscience and engineering principles, such as signal processing, programming, and device design. With a neuroscience degree, gaining additional skills in engineering, coding, or related certifications can help transition into engineering positions in this field.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.

What engineers make $300,000 a year?

Senior neuroscience engineers or biomedical engineers working in specialized roles, such as neurotechnology development or medical device design, can reach annual salaries of $300,000 or more, especially with extensive experience, advanced degrees, and leadership responsibilities. High compensation often involves working in cutting-edge research, startups, or large tech and healthcare companies with stock options and bonuses.
More about Neuroscience Engineering jobs
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What states have the most Neuroscience Engineering jobs? States with the most job openings for Neuroscience Engineering jobs include:
Field Clinical Engineer

Field Clinical Engineer

Neuralink

South San Francisco, CA

Other

Posted 27 days ago


Job description

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what's possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink's BCI technology for use in people!

Job Description and Responsibilities:

As a Field Clinical  Engineer, you will be on the front lines of Neuralink's clinical programs, working directly with participants, clinicians, and internal teams to translate cutting-edge neurotechnology into meaningful functional outcomes. This role is ideal for individuals with a background in PM&R, occupational therapy, or physical therapy who also have experience in medical devices and thrive in dynamic clinical environments.

You will play a critical role in bridging clinical care, engineering, and research by supporting device use, optimizing participant performance, and ensuring high-quality data collection in both clinical and home settings.

This role requires someone who is hands-on, clinically grounded, technically curious, and able to adapt quickly. You should be comfortable working with participants with significant neurological impairments and motivated by improving independence and quality of life.

In this role, you will:

  • Work directly with study participants to support device use, training, and optimization during clinical sessions and at home
  • Apply principles of rehabilitation (PM&R, OT, PT) to maximize participant outcomes and functional performance with the system
  • Collaborate closely with surgeons, investigators, and site staff to ensure seamless clinical execution across all phases of the study
  • Serve as the primary interface between participants and the technology, troubleshooting issues in real time and escalating when needed
  • Support surgical and post-operative workflows, including intraoperative and early post-implant sessions where applicable
  • Ensure high-quality, protocol-compliant data collection by aligning participant activities with study endpoints and data capture requirements
  • Partner with clinical, engineering, and data teams to translate real-world use into actionable insights for product and algorithm development
  • Identify trends in participant performance, usability challenges, and safety signals, and communicate clearly to cross-functional teams
  • Contribute to development and refinement of training protocols, user workflows, and clinical best practices
  • Support site onboarding, training, and ongoing engagement to ensure consistency and scalability across clinical sites
  • Assist in preparation for regulatory inspections and ensure activities are conducted in compliance with GCP, protocol requirements, and internal procedures
  • Travel to clinical sites as needed to support study execution and participant care

The ideal candidate:

  • Has a clinical background in PM&R, occupational therapy, or physical therapy, with hands-on experience working with neurological populations (e.g., SCI, ALS, stroke)
  • Has experience working with medical devices in a clinical or field-based role
  • Is highly adaptable, proactive, and comfortable operating in a fast-paced, evolving environment
  • Is technically curious and able to engage with engineers to troubleshoot and improve system performance
  • Communicates clearly and builds trust with participants, clinicians, and cross-functional teams
  • Is detail-oriented and understands the importance of protocol adherence and data integrity in clinical research

Required Qualifications: 

  • Clinical training and hands-on experience in PM&R, occupational therapy, or physical therapy, with a focus on neurological populations (e.g., SCI, ALS, stroke)
  • 3+ years of experience in a clinical, field-based, or medical device-adjacent role (rehab, neuromodulation, assistive technology, or similar)
  • Demonstrated experience working directly with patients and clinicians in dynamic care environments
  • Strong problem-solving skills with the ability to troubleshoot clinical and technical issues in real time
  • Ability to interpret participant performance, functional outcomes, and device behavior to inform next steps
  • Comfort working with technology, including basic data review and interaction with software-driven systems (no need to be a coder, but not afraid of one either)
  • Working knowledge of clinical research principles, including protocol adherence, endpoint-driven activities, and data quality expectations
  • Familiarity with Good Clinical Practice (GCP) and general clinical study conduct
  • Ability to collaborate effectively across clinical, engineering, and operations teams
  • Strong communication skills, with the ability to engage both participants and highly technical teams
  • High attention to detail, with the ability to manage multiple participants, sites, and priorities simultaneously
  • Willingness to travel frequently to support clinical sites and participants

Preferred Qualifications:

  • Degree or formal training in bioengineering, biomedical engineering, or a related field, with exposure to neurotechnology or implantable systems
  • Experience working with neuromodulation, brain-computer interfaces, or other neurorehabilitation technologies
  • Prior experience in a clinical field engineer, clinical specialist, or applications role within a medical device company
  • Experience supporting surgical procedures, intraoperative environments, or early post-implant programming and troubleshooting
  • Familiarity with signal-based systems (e.g., neural data, EMG, EEG) and comfort interpreting system performance in real time
  • Exposure to rehabilitation technology integration, including assistive devices, digital interfaces, or adaptive control systems
  • Experience supporting multi-site clinical studies or working directly with investigators and study coordinators
  • Comfort working with data systems (e.g., EDC platforms, basic data visualization tools) to review participant performance and study metrics
  • Understanding of usability, human factors, and patient-centered design principles
  • Prior involvement in training clinicians or participants on device use and workflows
  • Experience working in early-stage or rapidly evolving clinical programs where processes are still being defined