Top Tech Jobs & Startup Jobs

Designs and develops embedded hardware, sensing systems, and monitoring solutions for industrial and utility customers. Responsibilities span requirements analysis, analog and digital circuit design, schematic capture, PCB layout, firmware-hardware integration, testing, compliance certification, documentation, and production introduction. The role collaborates with architecture, manufacturing, supply chain, quality, and program teams while supporting new product development, sustaining engineering, and next-generation sensor initiatives.

Supports finance leadership and facility expansion initiatives through ROI, make-versus-buy, variance, forecasting, budgeting, and program cost analysis. Partners with accounting, operations, supply chain, engineering, pricing, contracts, and program management teams to identify risks and opportunities, communicate financial performance, and improve business results using data-driven recommendations and continuous-improvement tools.

Design and develop reusable platform services, APIs, SDKs, libraries, frameworks, and developer tooling. Define platform standards and architectures while improving software quality through automated testing, CI/CD, secure development, observability, and infrastructure automation. Lead strategic platform initiatives, enhance developer productivity through AI-assisted engineering, and mentor engineers. The role supports cloud, edge, embedded Linux, firmware integration, data services, and connected monitoring platforms using Agile Scrum and SAFe practices.

Leads architecture and technical direction for a reusable enterprise analytics platform deployed across public cloud and customer-managed on-premises environments. Responsibilities include defining architectural standards, translating product outcomes into specifications, guiding design and implementation, establishing APIs and shared services, ensuring secure and observable software, mentoring engineers, supporting Agile and SAFe planning, and improving quality, reliability, deployment consistency, and engineering productivity through AI-assisted workflows.