Gather AI is looking for a Staff Systems Engineer to take technical ownership of one of two core product platforms (Drone or MHE Vision). You will bring systems-level rigor to how we build, deploy, and operate at scale, driving technical direction across teams and owning outcomes end-to-end with direct visibility to leadership.
What You'll Do
- Take full technical ownership of an assigned product platform (Drone or MHE Vision), driving its reliability, scalability, and operational maturity end-to-end
- Streamline the deployment pipeline to reduce friction and improve repeatability, including CI/CD for embedded and containerized components and fleet-wide update mechanisms
- Lead cross-subsystem integration hardening: edge-to-cloud data flow, model deployment pipelines, sensor-to-perception orchestration, and production monitoring and observability
- Establish and track product performance metrics (scanning accuracy, uptime, deployment velocity) and drive improvements across engineering teams
- Collaborate with Product Management on roadmapping, requirements translation, and customer deployment planning; conduct site visits to understand the product in its operating environment
- Drive technical alignment across the autonomy, ML, and cloud engineering teams
What We're Looking For
- 10+ years of engineering experience shipping production systems, with significant breadth across embedded/edge compute, cloud infrastructure, and data pipelines
- Systems architecture experience — must have designed and owned multi-subsystem platforms spanning hardware, edge compute, cloud, and data layers
- Cross-team technical leadership — demonstrated ability to drive alignment and delivery across 2+ engineering teams without direct authority
- Production deployment at scale — must have shipped and operated real systems with real reliability requirements, not just prototypes
- Proficiency in Python, Linux fluency, CI/CD tooling, Docker, and C++ familiarity; experience with embedded/edge platforms like Jetson or ARM
Nice to Have
- Robotics or drone systems experience (ROS, flight controllers, sensor integration, autonomy stacks)
- Computer vision or ML pipeline integration (model serving, inference optimization, data labeling pipelines)
- Cloud infrastructure and backend systems (AWS/GCP, infrastructure-as-code, scalable data pipelines)
- Warehouse or logistics domain experience (operational constraints, customer deployment patterns)
Technical Stack
- Languages: Python, C++
- Platforms: Linux, Jetson, ARM
- Tools & Infrastructure: CI/CD tooling, Docker, ROS, AWS/GCP
Team & Environment
You will join a small, senior autonomy team that spans autonomy, perception, ML, and cloud infrastructure. The team operates with a high degree of ownership and minimal hierarchy. You will report to Brad Hamner, Director of Autonomy. Gather AI’s culture emphasizes a high degree of ownership, minimal hierarchy, and a fast-moving environment where your work has direct, visible impact on the product and customers.
