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Research Engineer II / Senior Research Engineer

NeuroBionics

Somerville, MAJob$110–285K/yrPosted 2w agoVerified open 1w ago

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At a glance

Compensation
$110–285K/yr
Location
Somerville, MA
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

NeuroBionics, an MIT neurotechnology spinout, seeks a hands-on Research Engineer to design and fabricate fibers, tooling, and manufacturing processes for its implantable neural interfaces. The role involves mechanical characterization, FEA modeling, and building Arduino-controlled automation rigs, leading IO fiber connectorization process improvements, and supporting manufacturing technicians on-site in Somerville, MA.

Skills & qualifications

RequiredNice to have

Skills

FTIRMachiningEDAMaterials ScienceCharacterizationMechanical DesignAutomationSEMTGACADModelingElectromechanicsPCB DesignArduino3DCross-Functional Team LeadershipEquityResearchFinite Element AnalysisSoldering3D Printing

Qualifications

Bachelor's in Mechanical Engineering or Related4+ Years Engineering Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Parental Leave
Paid Time Off

Full job description

About NeuroBionics NeuroBionics, an MIT neurotechnology spinout, is developing implantable neural interfaces built from microscale, flexible, bioelectronic fibers — delivered through minimally invasive endovascular approaches. By making neural interfacing minimally invasive, we aim to broaden access to life-changing neuromodulation therapies for millions of patients About the Role We are seeking a Research Engineer to join our engineering team designing and fabricating the fibers, tooling, and manufacturing processes behind NeuroBionics' fiber-based neural interfaces. This is a hands-on mechanical engineering role for someone who can characterize a fiber's mechanical and material properties, model and simulate mechanical behavior (FEA), and design an Arduino-controlled rig to automate a manufacturing step. You'll design and fabricate fibers for both our evFiber (endovascular neuromodulation) and emerging IO fiber designs (research neural probe, supported by an NSF grant), lead process improvements for IO fiber connectorization, and help build the rigs, jigs, and documentation that let our manufacturing team build fibers reliably and at scale. Job title will be adjusted based on experience. This role is on-site in Somerville, MA. What you’ll do: Duties and Responsibilities

Rig/Jig Design & Automation

  • Design and build jigs and mechanical rigs to support manufacturing steps, incorporating motors, actuators, and Arduino-based control/light automation.

  • Apply solid mechanical design skills, with a track record of similar past projects.

CAD Design & 3D Printing

  • Design components and tooling in CAD and produce them via 3D printing to support both manufacturing and IO fiber development/optimization.

IO Fiber Connectorization Process Leadership

  • Lead the optimization of the IO fiber connectorization process, including new PCB designs, new 3D-printed connector designs, and other process improvements.

  • Design and build rigs/jigs that improve the connectorization process.

Process Development, Documentation, & Manufacturing Transfer

  • Develop SOPs, work instructions, and other documentation for IO fiber manufacturing.

  • Make the process runnable by someone who isn't you: Support and train manufacturing technicians to build IO fibers using the processes you develop and optimize.

Fiber Characterization

  • Mechanical: measure and characterize fiber mechanical properties, including tensile testing, bend forces, and pull force measurement (e.g., Instron); use mechanical simulation and modeling (FEA) to inform design choices.

  • Chemical/Materials: characterize solvent and etch compatibility of polymers; understand glass transition temperature (Tg) and thermal processing behavior; ideally apply FTIR and other materials analysis methods.

Fiber Design and Fabrication

  • Design and fabricate functional fibers and fiber preforms in support of both evFiber and IO Fiber production.

Your Experience & Qualifications: Required:

  • Undergraduate degree in Mechanical Engineering, Materials Science, or a closely related discipline.

  • 4+ years of experience working as an engineer on physical products.

  • Demonstrated experience designing and building jigs and electromechanical devices (Arduino control or similar).

  • Demonstrated 3D design, CAD, and 3D printing experience.

  • Experience with mechanical characterization, modeling, and simulation: tensile, bend, and pull force measurement, and finite element analysis (FEA).

  • Solid grasp of mechanical engineering, mechatronics, and materials science concepts.

  • Independent, self-directed problem solver comfortable taking the lead on projects, with excellent attention to detail and quality.

Preferred:

  • Experience in materials characterization techniques (FTIR, SEM, TGA)

  • Experience with machining, including mill and lathe.

  • Experience with PCB design and soldering of small components.

  • Excellent fine motor skills and demonstrated ability to work under a microscope on fine components with tweezers.

What we offer:

  • Mission-driven and collaborative work environment

  • Competitive and experience-guided compensation with strong equity package

  • 3 weeks flexible vacation + 1.5 weeks company shutdown

  • Comprehensive benefits plan including:

  • Health, dental and vision insurance

  • Parental & medical leave

  • Life and long-term disability insurance

  • 401(k)

  • Health & wellness benefit

  • Opportunity to work at a fast-growing startup on one of the most impactful problems in neurotechnology and help change patients’ lives

How to Apply: Interested candidates should submit the following application materials:

  • Resume

  • A short (~250) cover letter highlighting how your qualifications align with this position

  • Contact information for two references

Join NeuroBionics and contribute to the evolution of cutting-edge neural technology that has the potential to revolutionize bioelectronic medicine and improve the lives of countless individuals worldwide.

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