Staff Software Engineer, Chef Robotics

• 8+ years of software engineering with 3+ years in technical leadership roles
• Track record delivering production robotic systems, IoT devices, or autonomous systems at scale
• Experience designing reliable systems for B2B/enterprise deployments
• On-device platform expertise: OS configuration, device drivers, system services, networking stack configuration
• Robotics middleware: ROS/ROS2, real-time systems, sensor integration
• Infrastructure: Containerization (Docker/K8s), CI/CD pipelines, monitoring/observability
• If you find yourself excited by our mission but you don't check every box in the description, we encourage you to apply anyway!

Desirable

• We’re seeking a Staff Software Engineer to provide hands-on technical leadership for the core software platform that powers our production robotic systems. This role owns the on-robot software stack end to end, from Linux-based platform software and robotics middleware through fleet management, deployment, and cloud connectivity
• You'll work across software and data engineering, partnering closely with Autonomy, Hardware, Product, and Field Operations to deliver production-ready robotic systems for Tier 1 food production customers
• Define and evolve the architecture for on-robot software, including OS configuration, hardware abstraction, middleware, and system services
• Lead middleware architecture decisions for real-time robot control, sensor integration, and inter-process communication
• Establish patterns for full-stack development, connecting on-robot systems to cloud services and web interfaces
• Write production code for high-impact features across the stack: robotics middleware, backend services, and cloud infrastructure
• Lead critical technical initiatives, including robotic platform software, cloud data pipelines, and fleet management platform
• Build robust deployment, monitoring, and OTA update systems for production robot fleets
• Debug the most challenging issues from kernel/driver level through the application layer
• Establish engineering standards and processes that balance rigor with startup agility
• Champion reliability, observability, and testing practices across embedded and cloud systems
• Mentor engineers through code reviews, design discussions, and pairing sessions
• Collaborate with Hardware and Autonomy teams on system integration and performance optimization
• Build and maintain internal and developer tooling that acts as a force multiplier across the organization