Senior Software Engineer

Droyd Robotics

$160K — $220K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of software engineering experience in production environments
  • Strong generalist software engineering skills, particularly with backend or systems software
  • Proficiency with Linux systems and networking
  • Experience working with real-time systems and transport layers
  • Ability to manage large codebases and optimize for performance
  • Demonstrated ownership of complex systems from start to finish
  • Great engineering judgment in startup-like fast-paced environments

Responsibilities

  • Architect and build backend systems for AI models on edge devices and GPUs
  • Develop Rust services using Axum and Tokio frameworks
  • Optimize low-latency streaming and video processing pipelines
  • Maintain tooling for observability and fleet management
  • Manage integrations with external robotic systems and hardware control interfaces
  • Collaborate closely with cross-functional teams to ensure system coherence
  • Support deployment to hardware and troubleshoot production issues

Benefits

  • On-site work environment in San Francisco, CA
  • Full-time employment
  • Equity options included
Full Job Description
About the Role

As a Senior Software Engineer at Droyd, you will own core parts of the software stack that powers our robotic systems. You will work on the systems that connect the robotics stack to product-facing software: backend services, real-time transport, fleet infrastructure, and the boundary between robot-facing systems and front-end applications.

You might work on Rust services, low-latency streaming pipelines, hardware integrations, or the interface layer between the bridge and the frontend. You will work in person with a small, senior team across robotics, AI, and hardware - your work ships directly to deployed robots.

This role is based on-site in San Francisco, CA.

In This Role, You'll

Backend & Systems
  • Architect, design, implement, and test backend systems for AI models running on edge devices and GPUs
  • Build Rust services using tools like Axum and Tokio
  • Define and maintain FlatBuffers schemas and system interfaces

Real-Time & Fleet Infrastructure
  • Develop and optimize low-latency streaming and video processing pipelines
  • Build and improve MoQ/WebTransport-based data and media paths
  • Build and maintain tooling for observability, fleet management, calibration, and system reliability

Integration & Ownership
  • Own integrations with external robotic systems, including ROS2 nodes, SDKs, and hardware control interfaces
  • Own parts of the bridge-to-frontend boundary and related application infrastructure
  • Support deployment to real hardware and debug production issues in the field
  • Collaborate closely with front-end, robotics, and hardware teams to keep the full system coherent and fast

Work Environment & Schedule
  • On-site in San Francisco, CA
  • Full-time

Compensation: $160K-$220K base salary, plus equity

We're Looking For Candidates Who
  • Have strong generalist software engineering ability with experience building backend or systems software in production
  • Are comfortable working across APIs, schemas, transport layers, and real-time systems
  • Have strong knowledge of Linux systems, networking, and process management
  • Are comfortable in large codebases and performance-sensitive environments
  • Can take ownership of complex systems end to end
  • Have strong engineering judgment and thrive in fast-moving startup environments

Nice to have:
  • Experience with Rust (including embedded HALs such as Embassy), Axum, or Tokio
  • Experience with hardware interfaces like UART, I2C, CAN, or EtherCAT
  • Experience with FlatBuffers or similar schema systems
  • Experience with WebTransport, WebRTC, GStreamer/DeepStream, or other streaming systems
  • Experience at robotics startups or on hardware-adjacent software systems

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