About Destro AI
Destro AI is building the intelligence layer for robotics — the system that coordinates robots, humans, and workflows across complex real-world operations. Founded by former leaders from HAI Robotics, Dexterity, and Matic, Destro is built on a simple thesis: robotics has solved movement, but not decision-making. Destro is backed by investors who have previously invested in and built companies like Brex, Figma, Notion, and Instacart.
Destro's MothershipOS is a shared brain across all robots, unlocking complex factory and warehouse workflows. Unlike traditional systems that rely on local intelligence on each robot, Destro brings global intelligence across the entire operation. We recently closed our Seed round at one of the highest valuations for a robotics company at this stage, and are already deploying in production with large enterprise operators.
The Role
You will build the core software that powers our platform — ML models, distributed services, and the systems that run them in production — then go to customer sites to make sure it actually works. This is a hybrid of deep software development and forward-deployed testing. We don't believe in building physical AI in a contained lab setting. Rather, we build it directly in production on-site — on the warehouse and factory floor where it gets tested the most and breaks. This role is full-time on-site.
What You'll Do
- Build core services — APIs, data infrastructure, and the abstractions the product is built on
- Train, fine-tune, and deploy ML models (PyTorch, transformers, foundation models, RL) into production
- Own correctness, latency, and reliability for systems running 24/7 in customer environments
- Deploy on-site at customer facilities: integrate, test end-to-end, and debug across software, APIs, and networking
- Drive systems from pilot to production against real KPIs — throughput, uptime, accuracy
- Work directly with the founder and customers to turn field realities into product
Who You Are
- 3–5 years in software engineering, ML, or robotics
- Strong CS fundamentals and production experience training and deploying ML models
- Built non-trivial systems that other engineers depend on
- Comfortable on a customer site debugging live systems under pressure
- High ownership, bias for shipping
Tech Stack
- Python (FastAPI, Uvicorn, Pydantic)
- REST APIs, gRPC, MQTT, and async/threaded service design
- Redis, PostgreSQL, TimescaleDB
- Docker and Docker Compose
- Linux, Docker/Kubernetes, AWS/GCP/Azure, GPU infrastructure
- Authentication and authorization (JWT, RBAC)
- Experience deploying and supporting software in production environments strongly preferred
Why This Role
- Destro is one of the fastest-growing physical AI startups. You will be part of a rocketship.
- Destro raised seed capital at one of the highest valuations for a robotics company at this stage, from investors who have previously invested in Figma, Notion, Brex, and Instacart.
- You will be part of the founding team.
- We don't believe in building the product in a lab. All of our product has been built with massive enterprises, and we keep developing alongside them. You will write the software and directly test it on a factory/warehouse floor and see it in action.
- Real production deployments with enterprise operators from day one.
Skills Required
- 3-5 years in software engineering, ML, or robotics
- Strong CS fundamentals and production experience training and deploying ML models
- Built non-trivial systems that other engineers depend on
- Comfortable on a customer site debugging live systems under pressure
- High ownership and bias for shipping
- Experience with Python (FastAPI, Uvicorn, Pydantic)
- Experience with PyTorch, transformers, foundation models, and RL
- Experience designing REST APIs, gRPC, MQTT, and async/threaded services
- Experience with Redis, PostgreSQL, TimescaleDB
- Docker and Docker Compose
- Linux, Kubernetes, AWS/GCP/Azure, and GPU infrastructure
- Authentication and authorization (JWT, RBAC)
- Experience deploying and supporting software in production environments









