Staff Systems Engineer

STQ Partners are currently working with a high growth & fast paced AI, Computer Vision, Detection & Drones business with a leading inventory solution for a range of sectors including Warehouse, Distribution, Manufacturing, Pharmaceutical & Retail Logistics.

The Staff Systems Engineer role will have technical ownership of an assigned program. You will understand the current state of the system, the team, and the deployment process end-to-end. Work to streamline the deployment pipeline to reduce friction and improve repeatability. Establish metrics for product performance (scanning accuracy, uptime, deployment velocity etc.).

Update and consolidate technical documentation across the platform. Begin aligning platforms where appropriate (shared infrastructure, common tooling, converging patterns etc.). Perform site visits to understand and experience the product in its operating environment. Work with product management to start roadmapping future key deliverables and defining the next phase of the product.

· Full technical ownership of an assigned product platform, understanding the system end-to-end and driving its reliability, scalability, and operational maturity

· 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

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· 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

· Python proficiency, Linux fluency, CI/CD tooling, Docker, and C++ familiarity; experience with embedded/edge platforms (Jetson, ARM)

· Robotics or drone systems experience (ROS, flight controllers, sensor integration, autonomy stacks)

· Cloud infrastructure and backend systems (AWS/GCP, infrastructure-as-code, scalable data pipelines)

· Computer vision or ML pipeline integration (model serving, inference optimization, data labeling pipelines)

· Warehouse or logistics domain experience (operational constraints, customer deployment patterns)

· Willingness to travel to customer sites as needed

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10+ years of engineering experience

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