Diffraqtion
Benefits
401(k) matching
Company parties
Competitive salary
Dental insurance
Health insurance
Opportunity for advancement
Paid time off
Stock options plan
Vision insurance
About Diffraqtion At Diffraqtion, we are revolutionizing AI imaging using our breakthrough quantum technology. We are a DARPA, NASA, and VC‑backed startup founded by MIT & Harvard scientists and veterans in AI, Optics, and Quantum Sensing. Inspired by the eye, we are building a Quantum Camera which replaces a conventional camera and processor. Calculating at the speed of light, we achieve orders of magnitude higher resolution, processing speed and energy efficiency for cameras. Using thisAPPLICATION image cameras, we will make Earth and Space Imaging satellites affordable and ubiquitous.
The Role We’re hiring a Software Engineer to help us build
reliable, reusable software for optical simulations and designs . The most important requirement is that you’ve already worked in a
real, collaborative codebase
(for example, a repo used by 10+ developers) and you’re comfortable with modern software development practices—structuring code, using Git well, writing tests, participating in reviews, and building tools that other people can confidently extend. At Diffraqtion, you’ll work closely with PhD‑ and postdoc‑level physicists to convert optics and imaging theory into simulation, analysis, and experimental software (primarily in Python). This role is central to helping our technical work scale: making it easier for researchers to build on each other’s progress, iterate faster, and run larger, more systematic simulation and optimization campaigns.
What you’ll do
Help turn theory into durable software
Convert prototypes and research workflows into reusable components, libraries, and pipelines.
Improve clarity and maintainability so results are easier to reproduce and extend.
Add lightweight tests and structure so new work can build on existing work safely.
Native + analysis capabilities
Implement and run optical simulations (primarily Python).
Build parameter sweeps and optimization workflows to explore large design spaces efficiently.
Support experimental analysis code and toolchains used for validation.
Grow into imaging & signal processing
As we expand our experimental pipeline: pull camera frames, process signals, and contribute to image processing and machine vision workflows.
Experience with image processing is a plus; Arducam hobby projects are a fun bonus signal.
What we need most Top requirement: proven experience building software on a shared codebase
Experience contributing to a
team‑owned repository
(more than ~10 developers would be ideal), in an internship, research software group, or professional setting.
Comfort with:
Git workflows (branching, pull requests, code review, resolving conflicts)
Writing clean, modular Python (libraries/modules > single scripts)
Testing mindset (unit/integration tests, basic CI habits are a plus)
ianne
Collaborating with others and improving codes incrementally
Second requirement: good understanding of the physical world and ability to apply physics principles with focus on optics.
Strong ability to pick up physics concepts quickly, especially optics‑related ideas.
Related coursework in physics (preferably at minor level or above).
You don’t need to be an optics expert on day one—this role is designed to pair you with world‑class physicists and help translate theory into correct, reusable code.
Minimum Requirements
BachelorUC'd in Physics, Math, EE/CS, or related fields
Roughly
1‑2 years
of relevant experience including internships, co‑ops, or undergrad research/software roles—especially ones involving shared repos and team workflows.
Must be a U.S. citizen, lawful permanent resident, or eligible for authorization under U.S. export regulations.
Nice-to-haves
Experience with numerical optimization (parameter fitting, gradient‑free methods, Bayesian optimization, etc.)
Machine learning experience (training models, evaluation, data pipelines)
Image processing / computer vision (e.g., OpenCV, filtering, feature extraction, calibration, denoising)
Camera interfacing / embedded‑adjacent tinkering—Arducam hobby projects are a fun signal here
Familiarity with common scientific tools: NumPy/SciPy, Jupyter, matplotlib, pandas (and optionally PyTorch/TensorFlow)
What success looks like Within your first months, you’ll be helping us:
expert ship simulation/analysis tools that are easier for multiple people to use and extend.
run larger simulation and optimization sweeps with more confidence and repeatability.
establish a strong foundation for upcoming image/camera processing pipelines.
Tech Stack (Typical)
Python‑first scientific computing (NumPy/SciPy, Jupyter, plotting)
Git + code review workflow
Testing frameworks (e.g., αλλαγ) and lightweight CI practices
As applicable: ML tooling (PyTorch/TensorFlow), OpenCV, camera SDKs / streaming tools
Equal Opportunity Employer Diffraqtion is committed to fostering an inclusive and meritocratic workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. Applicants requiring reasonable accommodation to the application/interview process should notify our Human Resources Department.
#J-18808-Ljbffr
401(k) matching
Company parties
Competitive salary
Dental insurance
Health insurance
Opportunity for advancement
Paid time off
Stock options plan
Vision insurance
About Diffraqtion At Diffraqtion, we are revolutionizing AI imaging using our breakthrough quantum technology. We are a DARPA, NASA, and VC‑backed startup founded by MIT & Harvard scientists and veterans in AI, Optics, and Quantum Sensing. Inspired by the eye, we are building a Quantum Camera which replaces a conventional camera and processor. Calculating at the speed of light, we achieve orders of magnitude higher resolution, processing speed and energy efficiency for cameras. Using thisAPPLICATION image cameras, we will make Earth and Space Imaging satellites affordable and ubiquitous.
The Role We’re hiring a Software Engineer to help us build
reliable, reusable software for optical simulations and designs . The most important requirement is that you’ve already worked in a
real, collaborative codebase
(for example, a repo used by 10+ developers) and you’re comfortable with modern software development practices—structuring code, using Git well, writing tests, participating in reviews, and building tools that other people can confidently extend. At Diffraqtion, you’ll work closely with PhD‑ and postdoc‑level physicists to convert optics and imaging theory into simulation, analysis, and experimental software (primarily in Python). This role is central to helping our technical work scale: making it easier for researchers to build on each other’s progress, iterate faster, and run larger, more systematic simulation and optimization campaigns.
What you’ll do
Help turn theory into durable software
Convert prototypes and research workflows into reusable components, libraries, and pipelines.
Improve clarity and maintainability so results are easier to reproduce and extend.
Add lightweight tests and structure so new work can build on existing work safely.
Native + analysis capabilities
Implement and run optical simulations (primarily Python).
Build parameter sweeps and optimization workflows to explore large design spaces efficiently.
Support experimental analysis code and toolchains used for validation.
Grow into imaging & signal processing
As we expand our experimental pipeline: pull camera frames, process signals, and contribute to image processing and machine vision workflows.
Experience with image processing is a plus; Arducam hobby projects are a fun bonus signal.
What we need most Top requirement: proven experience building software on a shared codebase
Experience contributing to a
team‑owned repository
(more than ~10 developers would be ideal), in an internship, research software group, or professional setting.
Comfort with:
Git workflows (branching, pull requests, code review, resolving conflicts)
Writing clean, modular Python (libraries/modules > single scripts)
Testing mindset (unit/integration tests, basic CI habits are a plus)
ianne
Collaborating with others and improving codes incrementally
Second requirement: good understanding of the physical world and ability to apply physics principles with focus on optics.
Strong ability to pick up physics concepts quickly, especially optics‑related ideas.
Related coursework in physics (preferably at minor level or above).
You don’t need to be an optics expert on day one—this role is designed to pair you with world‑class physicists and help translate theory into correct, reusable code.
Minimum Requirements
BachelorUC'd in Physics, Math, EE/CS, or related fields
Roughly
1‑2 years
of relevant experience including internships, co‑ops, or undergrad research/software roles—especially ones involving shared repos and team workflows.
Must be a U.S. citizen, lawful permanent resident, or eligible for authorization under U.S. export regulations.
Nice-to-haves
Experience with numerical optimization (parameter fitting, gradient‑free methods, Bayesian optimization, etc.)
Machine learning experience (training models, evaluation, data pipelines)
Image processing / computer vision (e.g., OpenCV, filtering, feature extraction, calibration, denoising)
Camera interfacing / embedded‑adjacent tinkering—Arducam hobby projects are a fun signal here
Familiarity with common scientific tools: NumPy/SciPy, Jupyter, matplotlib, pandas (and optionally PyTorch/TensorFlow)
What success looks like Within your first months, you’ll be helping us:
expert ship simulation/analysis tools that are easier for multiple people to use and extend.
run larger simulation and optimization sweeps with more confidence and repeatability.
establish a strong foundation for upcoming image/camera processing pipelines.
Tech Stack (Typical)
Python‑first scientific computing (NumPy/SciPy, Jupyter, plotting)
Git + code review workflow
Testing frameworks (e.g., αλλαγ) and lightweight CI practices
As applicable: ML tooling (PyTorch/TensorFlow), OpenCV, camera SDKs / streaming tools
Equal Opportunity Employer Diffraqtion is committed to fostering an inclusive and meritocratic workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. Applicants requiring reasonable accommodation to the application/interview process should notify our Human Resources Department.
#J-18808-Ljbffr