Diamond Foundry Inc. is solving the thermal limitation at the foundation of today's most exciting tech industries -- AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce the world's first single-crystal diamond wafers and are now on a mission to put a diamond behind every chip. We are the rare unicorn that has grown fast and profitably. We received $515m in funding and are executing a multi-$B expansion plan for one of the greenest forms of tech manufacturing: converting greenhouse gas into diamond wafers using zero-emission energy.
We are looking for an experienced, communicative Senior Software Engineer to own the data pipelines, internal systems, and APIs that power our real-time manufacturing and R&D operations. What we need from you is deep, production-grade Python expertise and the ability to own a project end-to-end: partnering directly with material scientists, technicians, and hardware engineers to turn ambiguous operational challenges into working production software.
Responsibilities
Own technical initiatives from inception to delivery: translate operational needs into technical roadmaps, architectural specs, and deployable code.
Architect and scale end-to-end Python backends, spanning high-throughput event pipelines, internal REST APIs, and automated data processing tools.
Interface directly with internal clients (production technicians, metrology specialists, and R&D engineers) to diagnose workflow bottlenecks and validate solutions on the floor.
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Optimize database performance and schema design for high-frequency telemetry, process metrics, and traceability data.
- Partner with our front-end engineers to define clean API contracts and data models for operator-facing UI’s.
- Requirements
- 4+ years of software engineering experience with production Python as your primary language (experience with industrial protocols like MQTT, Modbus, OPC-UA, or PLCs is a strong plus).
Proven end-to-end project ownership with the ability to define roadmaps, write specs, and execute code independently (experience working in manufacturing, hardware-in-the-loop, or physical R&D environments is a plus).
Full-lifecycle Python backend expertise across REST APIs, event/data pipelines, and automation scripts (hands-on experience with FastAPI, Flask, or async processing is a plus).
Exceptional interpersonal and communication skills to run discovery directly with non-software stakeholders like scientists, technicians, and operations teams (experience scoping technical requirements directly from physical shop-floor workflows is a plus).
Strong querying skills with schema design fundamentals.
