The Software Engineer will work on the complete development lifecycle of flight safety and navigation systems, from concept and algorithm design to system integration and testing. You will collaborate with a multidisciplinary team to deliver high-performance solutions, maintain high-quality code, and produce comprehensive documentation.
This role involves leading the design, development, and deployment of advanced robotic systems, focusing on software architecture, perception, planning, and control. You will collaborate with multidisciplinary teams, mentor junior engineers, and evaluate emerging technologies to enhance system performance.
This role involves building and maintaining CI/CD pipelines and build infrastructure to improve software delivery speed, reliability, and developer experience across engineering teams. The engineer will troubleshoot complex build issues, scale CI systems, and develop automation tools that directly impact engineering productivity in a fast-paced AI and robotics environment. Key focus areas include performance optimization, security, and operational scalability of developer workflows.
This role involves owning the full lifecycle of machine learning models and core infrastructure, building CI/CD pipelines for software and ML workflows, and ensuring production systems are reliable, scalable, and secure. The engineer will work closely with data scientists and product teams to deploy ML-powered features, automate orchestration using DevOps tools, and maintain observability and security across distributed systems. A strong focus is placed on automation, collaboration, and staying current with MLOps and infrastructure best practices.
This role involves leading the design and development of complex, integrated software platforms for automation solutions. The Software Architect will work closely with development teams, define architectural standards, and ensure the integration of business applications, databases, and physical equipment. The position requires strong expertise in C#/.NET, Python, and Django, with a focus on hands-on technical leadership and practical problem-solving.
As a Platform Engineer, you will build, maintain, and improve cloud infrastructure and CI/CD pipelines, primarily on Azure. You'll work closely with engineering teams to ensure scalable, reliable, and secure systems, while continuously improving automation and reducing manual operations.
This role involves owning and scaling the connectivity infrastructure for a global fleet of warehouse robots, focusing on automation of mesh VPN, cellular, Wi-Fi, and industrial router management. The engineer will build self-serve tooling, improve observability, and support field teams with robust networking solutions. Work is hybrid with minimal on-site requirements in Wallingford.
