Metalenz is a growing, venture-backed start-up that is the first to commercialize meta-optics and enable the next generation of 3D sensing in consumer electronics, automotive and industrial robotics markets. Built on research from Harvard University, Metalenz has 20+ patents on innovations that simplify and improve optical devices. Unlike traditional optics, the company’s metasurface technology provides complex, multifunctional optical performance in a single semiconductor layer, relocating large-scale production of optics to semiconductor foundries, that print lenses like computer chips.
Metalenz recently closed a $30.0m Series B financing led by Neotribe Ventures, and returning investors including 3M Ventures, Applied Ventures LLC, Intel Capital, M Ventures, TDK Ventures, and Foothill Ventures. Now in market, Metalenz metasurface optics will be in millions of consumer devices this year.
Metalenz is developing next-generation sensing systems for consumer electronics with metasurface technology. As an intern, you will help advance and support the design of our products in imaging and non-imaging optical technologies. A successful candidate will be able to draw from their body of knowledge in computational electromagnetics, numerical computing, and software development to craft the tools our teams use for product design.
What you’ll do
- Apply your PhD work to our problems, learn about cutting-edge products Metalenz is developing, and get a taste for what it takes to productize meta-optics
- Work with the modeling and simulation team to integrate your research and perspective into our Julia-language design framework and toolkit
- Expand our system design capabilities, breaking free from the viewpoints dominating traditional optics design
What you’ll need
- Currently engaged in PhD in Physics, Applied Physics, Applied Mathematics, or relevant field and/or demonstrated excellence in relevant technical domains through open source contributions or publications
- Technical background in computational electromagnetics, numerical computing, and optimization
- Physics-informed neural networks (PINNs), surrogate modeling, scientific machine learning, and modern developments in solving partial differential equations
- Optimization techniques and their application in electromagnetics, such as convex or Bayesian optimization
- Comfort working with high-performance computing environments, especially Julia and cloud compute platforms such as AWS, or willingness to learn. Familiarity with Python, MATLAB or commercial/open-source E&M software such as Lumerical, CST Studio, or MEEP encouraged
- Eagerness to write packages and tools that others will use and deploy them at scale
What we do
- Work with consumer electronic OEMs to commercialize metasurface optics
- Design next-generation optical systems for emerging consumer applications like 3D sensing
- Apply a modern software stack and cutting-edge developments in computing to greenfield areas in optical system design
- Support internal fabrication and metrology with custom in-house software
What we offer
- Competitive salary and compensation packages
- Based in downtown Boston near TD Garden, Metalenz is conveniently located across the street from North Station.
- Collaborative office space, flexible work schedule with hybrid and/or work-from-home arrangements for qualified positions.
- Free gym and bike parking – on-site
- Fun, energizing, highly collaborative environment in which each team member can make an impact.
- Job Location: Boston, MA – in-office position
Metalenz in the press: NYTimes, Forbes, Wired
Metalenz is an equal opportunity employer. The Company is committed to providing an open and inclusive environment for all of its employees. The Company prohibits any discrimination on the basis of gender, gender identity, pregnancy, race, color, religion, sexual orientation, national origin, ancestry, age, disability, veteran status, criminal record, genetic information, or any other category protected by law.
Metalenz does not sponsor applicants for work visas or legal permanent residence. Applicants must have authorization to work in the U.S.