SOFTWARE ENGINEER

We can’t do it alone. We’re seeking a curious, capable, and passionate Software Engineer to join our mission of reshaping the future of grocery through cutting-edge robotics. If you’re motivated by the opportunity to build impactful systems that bridge real-world operations with data and intelligent automation, you’ll thrive here.
In this role, you’ll start by owning the full stack of data infrastructure—designing, building, and maintaining the data pipelines that power both internal visibility and external reporting. Your work will provide critical insights into the performance of our automated robotic grocery fulfillment facility, enabling better decision-making across the company and for our partners.
As you grow into the role, you’ll contribute directly to the development and optimization of our high-impact planner algorithms—the brains behind our robotic orchestration—improving system throughput, efficiency, and robustness. You’ll work closely with teammates across robotics, software, systems, and operations to build scalable, reliable systems that push the boundaries of what’s possible in real-time logistics.

ABOUT US

At Fulfil, we’re building a new kind of grocery store powered by robotics and intelligent software—making fresh, local food more accessible while eliminating waste and inefficiency. Our team brings together experts from software, hardware, operations, and food systems, and we’re just getting started.
We’re committed to building an inclusive team and a culture that celebrates diversity. If this role sounds intriguing—even if you’re not sure you meet every requirement—we’d love to hear from you.

• Design and own systems for data collection, synchronization, modeling, and analytics across our robotic fulfillment platform.
• Collaborate with internal stakeholders and external partners to define and deliver reliable, accurate data products.
• Contribute to the development and optimization of our task and motion planning algorithms.
• Work hands-on to test and deploy your software on physical robotic systems in a fast-paced environment.
• Help shape best practices around system architecture, data infrastructure, and performance optimization.