Top Engineering Jobs

Develop firmware for battery-powered IoT sensors, Linux gateways, and connected devices. Responsibilities include hardware selection, board bring-up, peripheral drivers, bootloaders, firmware updates, power and connectivity management, low-level debugging, and cross-functional product delivery. The role provides senior technical leadership, mentors engineers, and guides firmware from architecture through production launch, with emphasis on BLE, cellular IoT, embedded security, OTA reliability, and manufacturing quality.

Build and operate backend-first, distributed platform services powering APIs, integrations, eventing, and analytical data systems to enable AI agents and enterprise-scale agentic workflows. Design for high throughput, reliability, security, and observability; apply AI-assisted engineering tools; mentor engineers and influence architecture, tooling, and developer experience.

Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

Lead firmware and full-stack development for edge AI safety products, spanning embedded systems, Go backend services, and web or mobile surfaces. Own features from customer problem through fleet-scale deployment, establish architecture, optimize AI algorithms for constrained devices, partner with hardware and cross-functional teams, mentor engineers, and deliver high-impact products across more than one million connected devices.

Lead software engineering efforts for Samsara’s External Platform EMEA, building scalable distributed systems, APIs, reporting, administration, integrations, and business-critical infrastructure. Lead technical discussions, influence architecture and roadmap, deliver full-stack features, maintain production systems, and support customer-focused iteration. Mentor engineers, hire and develop high-performing teams, and contribute to machine learning-powered products and long-running projects.

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Build and scale AI-enabled developer experience systems, including CI/CD platforms, deployment safeguards, observability, automated response workflows, and multi-agent orchestration. Reduce developer toil and technical debt while improving software delivery speed, safety, reliability, and production quality. Partner with engineering teams to adopt AI-native delivery practices and convert emerging capabilities into scalable internal platforms.

Design and build scalable frontend and backend features for route planning, routing, navigation, and route execution products. Partner with product, design, and engineering leadership to improve planner efficiency, leverage AI appropriately, and promote technical excellence. Mentor junior engineers, contribute to team growth, engage with customers, and help scale products across industries and customer verticals.

Lead a team of firmware and ML engineers developing, optimizing, and deploying computer vision and AI models on edge devices. Provide hands-on technical leadership for embedded systems, low-latency processing, and resource-constrained hardware. Partner with Product, Hardware, and Full-stack teams to deliver products from concept through mass production, shape technical roadmaps, and hire and develop engineering talent.