1

Brain Machine Interface Jobs in Austin, TX (NOW HIRING)

The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and ... Experience with DFX, conventional machining, rapid prototyping technologies, and precision design ...

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high ...

Optical Engineer

Austin, TX · On-site

$86K - $143K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical ...

Showing results 21-26

Brain Machine Interface information

See Austin, TX salary details

$13

$22

$30

How much do brain machine interface jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for brain machine interface in Austin, TX is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $25.24 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in a brain machine interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the brain machine interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

What is a brain machine interface?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the most commonly searched types of Brain Machine Interface jobs in Austin, TX? The most popular types of Brain Machine Interface jobs in Austin, TX are:
What are popular job titles related to Brain Machine Interface jobs in Austin, TX? For Brain Machine Interface jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Brain Machine Interface jobs? Cities near Austin, TX with the most Brain Machine Interface job openings:
Infographic showing various Brain Machine Interface job openings in Austin, TX as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 3% Contract, and 2% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $47,051 per year, or $22.6 per hour.

Mechanical Engineer, Implant

Neuralink

Austin, TX • On-site

Full-time

Re-posted 7 days ago


Job description

Team Description:

The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products. 

Job Description and Responsibilities:

As a Mechanical Engineer at Neuralink, you will own the design and production of hardware solutions for our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and depth of first principles in mechanical engineering, manufacturing engineering, and test engineering. You will collaborate closely with other engineers (e.g., electrical engineers, chip designers, software engineers, robotics engineers) as well as neuroscientists, neurosurgeons, clinicians, animal care specialists, and other industry experts. You may own a major product from early concept to production, while also diving deep into smaller but essential manufacturing problems to unblock production. Responsibilities will include:

  • Exploring early device architectures and downselecting to drive design and company direction
  • Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
  • Performing market research and gathering feedback from our users (e.g., patients, surgeons, animal care team) to inform product direction
  • Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
  • Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
  • Identifying key vendors and developing/maintaining relationships to expand our capabilities
  • Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
  • Identifying and tackling manufacturing rate limiters and yield hitters
  • Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
  • Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
  • Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
  • Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
  • Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies

Required Qualifications: 

  • Bachelor's Degree in Mechanical Engineering or related field, or equivalent experience and ability
  • 5+ years of mechanical engineering industry experience, owning products from concept to production 
  • Strong grasp of engineering's first principles
  • Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing 
  • Proficiency in CAD (SolidWorks preferred)

Preferred Qualifications: 

  • Experience in the design and manufacturing of implantable electromechanical medical devices
  • Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
  • Experience scaling complex low to mid-volume production lines