Lead Photonics & Nanotechnology Engineer

Devyantram

Ashburn (GA)

On-site

USD 180,000 - 280,000

Full time

14 days+
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Job summary

Devyantram is seeking a senior researcher to lead the design and development of nanoscale intelligence hardware, spanning photonics, MEMS/NEMS, and micro/nano-robotics for the CEREBRION bionic brain platform.

You will architect intelligence-substrate hardware at micro and nano scales, drive integration across photonic circuits, MEMS/nano devices, and brain-inspired compute architectures while mentoring a team of researchers and coordinating with bioengineering and controls groups.

Qualifications

  • MS or PhD in Applied Physics, Electrical Engineering, Materials Science, or a related field.
  • 8+ years of demonstrated expertise in photonics engineering and micro/nanoengineering.
  • Strong MEMS/NEMS and nanofabrication experience.
  • Proven ability to bridge theory, fabrication, and system-level integration.

Responsibilities

  • Design and simulate photonic circuits, waveguides, resonators, and interferometers.
  • Lead MEMS/NEMS device design for sensing, actuation, and interfacing; manage nano/microfabrication workflows.

Skills

Photonics engineering
Micro/Nanoengineering
MEMS/NEMS
Fabrication
System integration

Education

MS or PhD in Applied Physics, Electrical Engineering, Materials Science, or related field

Job description

Role Summary

You will lead the design and development of Devyantram’s nano/microscale intelligence hardware, spanning micro and nano-robotic systems and the photonic and MEMS/NEMS subsystems that support the CEREBRION bionic brain platform. You are responsible for architecting intelligence-substrate hardware at the micro and nano scale, not just building individual components.

Key Responsibilities
Photonics Engineering
  • Design and simulate photonic circuits, waveguides, resonators, and interferometers.
  • Develop optical interconnects and signal-routing subsystems.
  • Work on optical memory and optical compute elements.
  • Target high-bandwidth sensing, low-latency communication, and energy-efficient computation.
  • Own photonics fabrication, testing, and characterization.
Micro/Nanoengineering (MEMS/NEMS)
  • Design MEMS/NEMS devices for sensing and signal transduction, actuation, and interfacing.
  • Lead nano and microfabrication workflows from cleanroom through foundry.
  • Define packaging, integration, and scaling strategy.
Micro/Nano-Robotic Systems
  • Architect distributed micro and nano-robotic platforms and their coordination strategies.
  • Enable cooperative, hierarchical, and adaptive behaviors across distributed units.
Compute Hardware
  • Contribute to unconventional, brain-inspired compute hardware spanning photonic and electromechanical approaches.
  • Translate cognitive and AI requirements into physical micro and nano implementations.
  • Co-design with the bioengineering, mechatronics, and controls teams.
IP & Technical Leadership
  • Generate foundational IP across photonics, MEMS/NEMS, and micro/nano-robotics.
  • Lead invention disclosures and support patent strategy with counsel.
  • Define the long‑term nanoscale‑intelligence hardware roadmap.
  • Mentor junior researchers and engineers.
Required Qualifications
  • MS or PhD in Applied Physics, Electrical Engineering, Materials Science, or a related field.
  • 8+ years of demonstrated expertise in photonics engineering and micro/nanoengineering.
  • Strong MEMS/NEMS and nanofabrication experience.
  • Proven ability to bridge theory, fabrication, and system‑level integration.
Strongly Preferred
  • Optical or holographic computing.
  • Unconventional or non‑von‑Neumann computing.
  • Nanorobotics or microrobotics.
  • Brain‑machine interfaces or neural probes.
  • Advanced research lab or deep‑tech startup experience.
A Successful Candidate Will Be Measured By
  • Functionality and performance of the nanoscale compute hardware.
  • Successful design and fabrication of photonics and MEMS/NEMS systems.
  • Functional autonomy and scalability of micro and nano‑robotic platforms.
  • Reliability of hardware integration across subsystems.
  • Strength, novelty, and defensibility of generated core IP.

The pay offered for this position may vary based on several individual factors, including job‑related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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