Software Engineer
- Source: LinkedIn
- swaya studio
- On-site
- Bengaluru
- Full-Time
- Mid level
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.
Skills
- Python
- cplusplus
- NumPy
- opencv
- cuda
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