The role
You'll build and operate the platform behind an AI (computer vision based machine learning) powered product used inside real semiconductor plants — the systems that turn wafer images into actionable signals in real time, deployed across our cloud and our customers' own hardware.
We are hiring strong software engineers (backend) to build the platform that connects the world's semiconductor manufacturers to the computer vision AI watching over their production lines. You'll build high-throughput, low-latency infrastructure powering our computer vision AI. Working alongside our core team, you'll design clean APIs, scale our distributed backend, and drive the architecture behind our production machine learning pipeline.
What you'll do
Own end-to-end delivery of features across our AI platform — from ingestion through orchestration to what a customer sees on the screen.
Design and build the systems that keep the platform correct and predictable under real-world burst loads.
Deliver the same product to two very different worlds — our cloud SaaS and our customers' own hardware.
Operate what you ship — observability, on-call, and real production debugging with real customers.
Set the engineering bar through thoughtful reviews, sharp design work, and honest post-mortems.
You'll thrive here if...
You've shipped Python backends in production.
You know your way around relational databases and how to make them fast.
You've used a task queue or message broker.
You're comfortable on Linux, with Docker, and in at least one cloud like AWS or GCP.
You narrate your reasoning and are honest when you don't know.
You believe in mentoring and being mentored.
You like cross team collaboration to get things done for customers creating business value
You like using LLM based AI in your work- thoughtfully, not blindly.
You like working on high scale projects, optimizing software for large scale usage
Nice to have
Django and multi-tenant SaaS patterns
Experience deploying to customer-hosted or hybrid environments
ML, computer vision, or GPU-pipeline adjacency
Python SDK or library authoring
PostgresSQL based DB management
Experience with air-gapped deployments
Experience with building access-control systems
Join us to engineer the intelligence behind every chip the world will ever make. Join our innovative, passionate team.
Skills Required
- Production experience shipping Python backends
- Experience with relational databases and database performance optimization
- Experience using a task queue or message broker
- Comfort working with Linux and Docker
- Experience with at least one cloud platform, such as AWS or GCP
- Ability to collaborate across teams and deliver customer-focused solutions
- Interest in using LLM-based AI thoughtfully in engineering work
- Experience with Django and multi-tenant SaaS patterns
- Experience deploying to customer-hosted or hybrid environments
- Experience with machine learning, computer vision, or GPU pipelines
- Experience authoring Python SDKs or libraries
- Experience managing PostgreSQL databases
- Experience with air-gapped deployments
- Experience building access-control systems
What We Do
Founded by alumni from IIT and NIT, and funded by top investors in Asia, SixSense is a Singapore and India based startup in the AI space. We have built a no-code platform that allows users to build, monitor and maintain deep learning models for computer vision applications. Currently our platform is primarily used by manufacturing engineers, to build AI models that can detect and classify defect in images. Using SixSense AI platform, they are transitioning from their decade old process of inspection using manual labour or rule-based systems, to a much efficient and scalable AI based technology.
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