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Brain Machine Interface Jobs in Texas (NOW HIRING)

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$134.80K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface ...

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233.80K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface ...

Neuralink

IACUC Administrator

Austin, TX

This role ensures the ethical and regulatory compliance of all animal research activities supporting the development of Neuralink's brain-machine interfaces. Responsibilities include: * Provide ...

Neuralink

IACUC Administrator

Austin, TX · On-site

$26.92 - $44.71/hr

This role ensures the ethical and regulatory compliance of all animal research activities supporting the development of Neuralink's brain-machine interfaces. Responsibilities include: * Provide ...

Neuralink

Machine Shop Supervisor

Austin, TX · On-site

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... The Machine Shop team within Neuralink's hardware organization is responsible for delivering ultra ...

Neuralink

Machine Shop Supervisor

Austin, TX

The Machine Shop team within Neuralink's hardware organization is responsible for delivering ultra ... brain-computer interfaces, surgical tools, and implant hardware across our Austin, Texas and San ...

Neuralink

Manufacturing Engineer

Austin, TX · On-site

$83K - $139K/yr

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

Neuralink

Prototyping Lab Engineer & Manager

Austin, TX · On-site

$68K - $114K/yr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Operate and maintain a range of machines and power/hand tools necessary for prototyping * Manage ...

Neuralink

Manufacturing Engineer

Austin, TX

$72.40K - $93.20K/yr

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

Neuralink

Prototype & Design Specialist

Austin, TX · On-site

$68K - $114K/yr

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems ... Operate and maintain a range of machines and power/hand tools necessary for prototyping * Manage ...

Neuralink

Mechanical Engineer, Implant

Austin, TX · On-site

$120K - $224K/yr

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

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How much do brain machine interface jobs pay per hour?

As of May 30, 2026, the average hourly pay for brain machine interface in Texas is $21.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.75 per hour, depending on experience, location, and employer.

What is a Brain Machine Interface job?

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 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 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.
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What cities in Texas are hiring for Brain Machine Interface jobs? Cities in Texas with the most Brain Machine Interface job openings:
Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in Texas as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,224 per year, or $21.3 per hour.
Hardware/ Software Co-Design Engineer

Hardware/ Software Co-Design Engineer

Neuralink

Austin, TX

Other

Posted 8 days ago

Job description

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

  • Micro-architecture design and RTL implementation of: 
    • Low-power digital signal processors
    • Low-power general-purpose hardware accelerators
    • Low-power graphics processing units
    • Low-power radio MAC/PHY
    • Low-power serial link MAC/PHY
  • Design and optimization of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Energy/performance profiling and analysis
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing cost and performance under manufacturing process variation 
  • Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

  • Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • Experience designing and implementing embedded software in C or Rust
  • Expertise in SystemVerilog, C/C++, Python
  • Experience designing and implementing  emulation models, transactors, and test environments to replicate hardware behavior
  • Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
  • Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

  • Experience in architecture optimization with process technology customization
  • Experience in the verification of complex digital systems, using industry standard tools
  • Experience in the physical design of complex digital systems, using industry standard tools
  • Experience testing and debugging digital system-on-a-chips
  • Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
  • Experience automating tool flows
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization

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