Mechanical Engineer, Implant
Austin, TX · On-site
The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and ... Experience with DFX, conventional machining, rapid prototyping technologies, and precision design ...
Austin, TX · On-site
The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and ... Experience with DFX, conventional machining, rapid prototyping technologies, and precision design ...
Austin, TX · On-site
The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and ... Experience with DFX, conventional machining, rapid prototyping technologies, and precision design ...
... stimulation, brain-computer interfaces, neuromodulation technologies with optical, ultrasound ... Expertise in fundamental and applied machine learning and artificial intelligence for advancing ...
... stimulation, brain-computer interfaces, neuromodulation technologies with optical, ultrasound ... Expertise in fundamental and applied machine learning and artificial intelligence for advancing ...
... stimulation, brain-computer interfaces, neuromodulation technologies with optical, ultrasound ... Expertise in fundamental and applied machine learning and artificial intelligence for advancing ...
... stimulation, brain-computer interfaces, neuromodulation technologies with optical, ultrasound ... Expertise in fundamental and applied machine learning and artificial intelligence for advancing ...
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 ...
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 ...
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 ...
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 ...
Austin, TX · On-site
$83K - $224K/yr
We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Proficiency with conventional machining and rapid prototyping technologies Expected Compensation:
Austin, TX · On-site
$83K - $224K/yr
We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Proficiency with conventional machining and rapid prototyping technologies Expected Compensation:
$13.82 - $15.36
3% of jobs
$15.36 - $16.90
7% of jobs
$16.90 - $18.43
6% of jobs
$19.59 is the 25th percentile. Wages below this are outliers.
$18.43 - $19.97
11% of jobs
$19.97 - $21.51
13% of jobs
The median wage is $22.32 / hr.
$21.51 - $23.05
18% of jobs
$23.05 - $24.59
16% of jobs
$24.68 is the 75th percentile. Wages above this are outliers.
$24.59 - $26.12
9% of jobs
$26.12 - $27.66
6% of jobs
$27.66 - $29.20
7% of jobs
$29.20 - $30.74
3% of jobs
$13
$22
$30
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.
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.
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.

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:
Required Qualifications:
Preferred Qualifications:
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Biotechnology research and development
201 - 500 Employees
San Francisco, CA, US
2016