Lead Software Engineer

Droyd • San Francisco, CA

7d • Onsite

About The Position

About the team Droyd builds autonomous robotic systems that take on repetitive manual work in real environments. Our robots operate under tight latency, reliability, and hardware constraints. Software sits at the center of everything we ship. Our software team builds the systems that connect models to motors, sensors to decisions, and fleets to operators. This code runs on real robots, in production. About the role As a Backend Software Engineer at Droyd, you’ll own core parts of the software stack that power our six-degree-of-freedom robotic arms. You’ll build systems that support learning, inference, control, and fleet operations. You’ll work in person with a small, senior team across robotics, AI, and hardware. Your work will ship directly to deployed robots. This role is based in San Francisco, CA. We’re an in-person company. We build faster that way. About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control and software stack, and deploy fleets of robots that operate in real production environments. If we do this right, robots stop being demos and start being infrastructure. Join us and help build systems that ship.

Requirements

• Has experience working with hardware interfaces like UART, I2C, CAN, EtherCAT, or similar protocols
• Has strong knowledge of Linux systems, networking, and process management
• Is comfortable working in large codebases and performance-sensitive environments
• Can take ownership of complex systems end to end

Nice To Haves

• Rust experience, including embedded HALs such as Embassy
• Experience with RTOS or modern C++ for embedded or real-time systems
• Familiarity with GStreamer or DeepStream for multithreaded video pipelines
• Experience with WebRTC or other real-time transport technologies

Responsibilities

• Architect, design, implement, and test backend systems for AI models running on edge devices and GPUs
• Build and maintain tooling for observability, fleet management, calibration, and system reliability
• Develop and optimize low-latency streaming and video processing pipelines
• Own integrations with external robotic systems, including ROS2 nodes, SDKs, and hardware control interfaces
• Support deployment to real hardware and debug production issues in the field

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed