ML Computer Scientist – Optics

Job Number: 1000011

Job Type: Full Time, Salary

Location: Remote

About Peak Nano

Peak is a US-based, AI-driven technology company that uses nanotechnology to solve macro-level global challenges. Our engineers and researchers are developing solutions for advanced optics, aerospace, life sciences, and other industrial solutions. We are the leader in applying artificial intelligence to design and optimize reusable polymers to make the world a safer and more sustainable place. We help enable and protect people, national defense, and the planet.

Description

Peak Nano invites a Research Engineer with a deep commitment to excellence and innovation to join our multidisciplinary team specializing in polymer, mechanical, and optical engineering. We are at the forefront of revolutionizing the fabrication and large-scale manufacturing of our unique nano-layered gradient index of refraction (LGRIN) optical technology. Our team, rich in optical and scientific knowledge, seeks a professional with profound expertise in machine learning, including reinforcement and deep learning, and robust software development skills. This role requires a talent for creating detailed simulations, comprehensive analyses, and developing optimized solutions for emerging challenges in the realm of high-performance optics. The ideal candidate values personal responsibility, transparency, consistent performance, and a collaborative approach.

Key Responsibilities:

  • Develop and enhance software for:
    • Accurate modeling of our innovative LGRIN technology in both commercial and internal optical design software
    • Designing molded multilayer polymer structures for applications in optical design and LGRIN structure development
  • Research, develop, and apply machine learning algorithms for novel applications in optical engineering
  • Stay abreast of and incorporate emerging machine learning methods, technologies, and best practices
  • Adapt and improve existing programs for new software platforms with precision and care
  • Document and communicate results effectively to a diverse audience, including engineers, physicists, and mathematicians

Required Qualifications

  • Master’s degree in Computer Science
  • Proficiency in MATLAB, Python, CUDA, and C/C++
  • Strong background in machine learning, reinforcement learning, and deep learning
  • Ability to optimize complex problems for efficient computation
  • Superior communication skills in English, both written and verbal
  • Proficient in PowerPoint, MS Word, and Excel
  • Professionalism and reliability in remote work settings
  • US Citizenship

Preferred Qualifications

  • PhD in Software/Electrical Engineering, Computer Science, or Applied Mathematics
  • Knowledge of Optical Engineering
  • Publication history in engineering or science journals
  • Experience in programming for GPUs

To be considered for this opportunity, please send your resumé to [email protected] with the Subject Line ‘ML Computer Scientist – Optics’.