Job Opportunity Posted yesterday

Software Engineer

swaya studio
Bangalore

Job Description

Bengaluru · On-site · Full-time


Read this first


This is a programming job. You will write, debug, profile, and test production Python (and some C++) every working day. Computer vision is the domain; software engineering is the craft.


The first screening round is a 15-minute live coding session. It includes basic data structure concepts to advanced data structures like linked lists, stacks, queues, trees, graphs, etc. — this should be a warm-up for you, not an ambush.


What we do


We build high-precision measurement systems from multi-camera imagery: calibrated camera rigs, geometric reconstruction, and software that turns pixels into dimensions with accuracy claims we can defend.


What you'll own


•⁠ ⁠An existing measurement pipeline — multi-camera calibration, triangulation, and geometric computation.


•⁠ ⁠Performance: profiling NumPy-heavy numerical code and making it 10–100× faster without changing its answers.


•⁠ ⁠Validation: building test harnesses, synthetic-data checks, and regression suites.


•⁠ ⁠Deployment: packaging the pipeline to run reliably outside your laptop.


You must have


•⁠ ⁠Fluent Python — data structures, dictionaries, sets, complexity, and NumPy.


•⁠ ⁠Real debugging ability — experience hunting down difficult bugs.


•⁠ ⁠Comfort with git, code review, and writing maintainable code.


•⁠ ⁠Either hands-on geometric computer vision experience (calibration, stereo/multi-view, 3D reconstruction, OpenCV) or strong mathematical footing in linear algebra, optimisation, and statistics.


Nice to have


•⁠ ⁠C++


•⁠ ⁠Camera calibration or photogrammetry experience


•⁠ ⁠Industrial inspection / metrology exposure


•⁠ ⁠CUDA or serious performance work


•⁠ ⁠Scientific computing background


Explicitly not required


LLM, GenAI, RAG, or agent experience. This role contains none of it.


How we hire (and how fast)


•⁠ ⁠15-minute live coding screen — basics, camera on, any editor. Pass/fail, scheduled within 3 days of applying.


•⁠ ⁠Take-home — 4–6 hours inside a 48-hour window you choose. AI tools allowed; you'll defend your work live afterwards.


•⁠ ⁠Technical deep-dive — your take-home, past work, and live problem-solving.


  • •⁠ ⁠Offer — every stage gets a yes/no within 3 working days. No ghosting, ever.
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