Top Engineering Jobs

Paid full-time engineering internship working across backend, full-stack, mobile, or embedded teams. Projects may include scalable backend services, web front-ends, React Native mobile, or embedded software (edge AI, multimedia, real-time processing). Interns collaborate with product and design, engage with customers, and iterate on features to deliver measurable customer value.

Design and ship firmware for battery-powered and gateway IoT devices. Lead hardware bring-up, implement peripheral drivers, secure bootloaders and OTA, optimize power, debug hardware/software integration, and drive cross-team technical decisions at staff level.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.

The Staff Software Engineer will lead technical direction, architect and develop software for scalable IoT solutions, drive technology choices, and mentor engineers while ensuring strong customer impact.

The Product Support Engineer III role involves leading investigations of mobile issues, collaborating with teams, mentoring engineers, and improving product quality. This senior position requires strong troubleshooting and communication skills, with a focus on customer impact and technical depth.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.