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 reliable 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.

📌 Software Engineer (Karnataka)
🏢 Swaya Studio
📍 Karnataka