Overview
About Us
Full job description
About Us At Pickle Robot, we're on a mission to automate global supply chains with Physical AI. Our robots work alongside warehouse teams to unload trucks and containers — one of the toughest, most understaffed jobs in logistics — making the work safer, faster, and more efficient for the people doing it. Loading trucks comes next, followed by the Dill Autonomy Engine: generalized autonomy that will eventually orchestrate robots across entire logistics processes. We're looking for a Backend Software Engineer to join our autonomy team and build the scalable systems behind task planning and robotic workflows. This role sits at the intersection of software engineering and robotics infrastructure — you'll work closely with robotics engineers to design backend services that power real robotic systems on the warehouse floor, bringing solid engineering practices into an environment where you're not afraid to get close to the hardware. At Pickle, your code directly impacts how autonomous robots operate in production warehouses, and you'll see the results of your work in the real world.
Design and build backend services supporting task planning and autonomy
Develop scalable, reliable, and performant systems using Python (and C++ where needed)
Contribute to system architecture and service design within the team
Build and maintain event-driven systems and messaging-based architectures
Collaborate closely with robotics engineers to integrate backend systems with real-world workflows
Improve system performance, reliability, and maintainability across services
Participate in code reviews and technical discussions to elevate engineering standards
3-5+ years of experience in backend or distributed systems engineering
Strong programming experience in Python, with solid experience in C++ or another strongly typed language (e.g., Rust, Go, Java)
Strong understanding of software architecture, concurrency, and distributed system design
Experience building or supporting event-driven systems, messaging frameworks (e.g., Kafka, ROS), or service-oriented architectures
Experience developing systems that interface with hardware, robotics, or real-world operational environments is a plus
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