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Entry Level Neural Engineer Jobs (NOW HIRING)

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Neural Networks Implementing processes that improve and lead to greater data quality Conducting ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Neural Networks • Implementing processes that improve and lead to greater data quality • ...

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Entry Level Neural Engineer information

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$30K

$69.4K

$118K

How much do entry level neural engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for entry level neural engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Neural Engineer vs Entry Level Data Scientist?

AspectEntry Level Neural EngineerEntry Level Data Scientist
Required CredentialsBachelor's in Engineering, Neuroscience, or related field; basic programming skillsBachelor's in Computer Science, Statistics, or related field; programming skills
Work EnvironmentResearch labs, biotech companies, healthcare settingsTech companies, finance, healthcare, consulting firms
Industry UsageNeuroscience, biomedical engineering, neural interface developmentData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Entry Level Neural Engineers focus on developing and testing neural interfaces and understanding brain-machine interactions, often working in research or healthcare settings. Entry Level Data Scientists analyze large datasets to extract insights across various industries. While both roles require programming skills and a relevant degree, Neural Engineers emphasize neuroscience and biomedical applications, whereas Data Scientists focus on data analysis and modeling.

More about Entry Level Neural Engineer jobs
What cities are hiring for Entry Level Neural Engineer jobs? Cities with the most Entry Level Neural Engineer job openings:
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What states have the most Entry Level Neural Engineer jobs? States with the most job openings for Entry Level Neural Engineer jobs include:
Infographic showing various Entry Level Neural Engineer job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Software Engineer, Next Gen

Software Engineer, Next Gen

Neuralink

South San Francisco, CA • On-site

Other

Posted 22 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