Software Engineer (Computer Vision Optimization)
Boston, MA, United States
Software Engineer (Computer Vision Optimization) Metalenzis 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,Metalenzhas 20+ patents on innovations that simplify and improve optical devices. Unlike traditional optics, the company’smetasurfacetechnologyprovidescomplex, multifunctional optical performance in a single semiconductor layer,relocatinglarge-scale production of optics to semiconductor foundries that print lenses like computer chips.
Metalenz recently closed a $30M 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 the market, Metalenz metasurface optics will be in millions of consumer devices this year.
Based in downtown Boston near TD Garden,Metalenzis convenientlylocatedacross the street from North Station.
The Position Metalenz is developing next-generation sensing systems for consumer electronics with metasurface technology. As a Software Engineer you will help develop computer vision and image processing algorithms to work with our engineered meta-optic camera systems. A successful candidate will be able to implement existing and new computer vision algorithms for 3D scene reconstruction, segmentation, and biometric tasks.
Whatyou’lldo Optimize machine learning model implementations and inference times Work withTFLite, SNPE, or other embedded deep learning libraries
Quantize and tune model architecture, speed, and performance whilemaintainingtask performance
Participate in rigorous benchmarking and analysis across model classes
Deploy to mobile hardware running Android
Conceive, implement, andoptimizedeep learning andcomputer vision algorithms using our unique meta-optic capabilitiestobringtruly secureauthentication to mass market Work in facial identification, presentation attack detection, and scene synthesis
Implement your algorithms on ouruniquecamerahardware
Assistsoftware team in efficient model integration for applicationand servicehostingthemodelsby writingC++/JNI/Kotlin
Collaborate by writing documentation, engaging in code review, and commenting on design documents
Whatyou’llneed MS or PhD in Computer Science, Electrical Engineering, or relevant field and/ordemonstratedexcellence in relevant technical domains throughopen sourcecontributions or publications
5+ years’ experience building computer vision solutionsand deploying deep learning modelson mobile
Broad understanding of methods and tooling, fromtraditional (FastCV)to deep learning approaches(i.e.PyTorch,Jax,Tensorflow)and their deployment to embedded systems(Android, C++)
Knowledge of cameras, image processing, and computer vision techniques
Familiarity with software engineering best practices (version control, data provenance, code profiling and unit tests)
Knowledge of building and deploying machine learning train and test pipelines a plus
Proficiencyin Python,C++, and JNI
What we do Work with consumer electronic OEMs to commercialize meta-optics
Design next-generation optical systems for emerging consumer applications like 3D sensing
What We Offer We provide competitive compensation
Pre-IPO stock options
100%, company paid premiums for employees and their dependents, such as medical, dental, and vision
Employer Health Savings Account (HSA) contributions
Employer matching 401k
Pre-tax commuter plans
Casual dress code
18 days of PTO and 12 paid company holidays
10 sick days per year on a calendar basis
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, or genetic information.
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