• Design, develop, and maintain the product’s control plane in Python, and the data plane in both Python and Rust • Refactor, optimize, and modernize existing codebases • Research and integrate new technologies to enhance product capabilities • Collaborate with cross-functional teams to define and implement robust solutions

• Design, develop, and maintain the product’s control plane in Python, and the data plane in both Python and Rust • Refactor, optimize, and modernize existing codebases • Research and integrate new technologies to enhance product capabilities • Collaborate with cross-functional teams to define and implement robust solutions

• Design, build, and maintain scalable full-stack applications using React and modern JavaScript/TypeScript on the frontend, and Python on the backend. • Participate in system design from the outset, defining service boundaries, data flows, and architectural trade-offs rather than being handed a spec to implement. • Build front-end solutions that support high data throughput, performance optimisation, and responsiveness at scale. • Design and implement clean, well-documented APIs and backend services that integrate with the frontend and downstream systems. • Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems. • Work with automation and orchestration services, particularly within Azure. • Work with containerised environments such as Docker and contribute to cloud-native deployment pipelines. • Support CI/CD processes and promote reliable, repeatable deployments. • Collaborate on the deployment of applications to Azure, owning your deployments end to end.

• Lead product engineering activities from concept through high-volume ramp for MEMS oscillators, resonators, and timing ICs • Analyze large datasets to assess product performance across process, voltage, temperature, and reliability stresses • Partner with test engineering to develop efficient and robust production test solutions • Drive root-cause analyses and problem-solving for device performance and yield issues during development • Monitor production performance, yields, and outgoing quality; identify trends and drive continuous improvement actions • Collaborate with foundry, assembly, and test partners to resolve process and equipment-related issues • Implement design-of-experiments (DOE) to optimize parameters, improve yield, and reduce test cost • Ensure robust product release through documentation, risk assessments, and data-driven decision-making • Support customer engineering teams with debug, field returns, and technical inquiries • Interface with operations for supply chain readiness, lifecycle management, and cost-reduction initiatives