Lead Photonics Engineer

Role Summary

You will lead the design and development of Devyantram's photonic intelligence hardware supporting the CEREBRION bionic brain platform. You are responsible for architecting intelligence-substrate hardware, 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.

Compute Hardware

• Contribute to unconventional, brain-inspired photonic compute hardware.

• Translate cognitive and AI requirements into physical implementations.

• Co-design with the bioengineering, mechatronics, and controls teams.

IP & Technical Leadership

• Generate foundational IP across photonics.

• Lead invention disclosures and support patent strategy with counsel.

• Define the long-term photonic 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.

• Strong experience in nanofabrication.

• Proven ability to bridge theory, fabrication, and system-level integration.

Strongly Preferred

• Optical or holographic computing.

• Unconventional or non-von-Neumann computing.

• 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 compute hardware.

• Successful design and fabrication of photonics systems.

• 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.