Engineering Manager, IoT Development

At Andium, we help Oil & Gas companies reshape the future while working toward Net-Zero emission goals. We build technology that enables the world's leading energy companies to achieve their environmental, social, and governance (ESG) objectives through transformative innovation. Along the way, we've helped our customers achieve 46% operational cost savings and a 65% reduction in emissions.

Unique in the marketplace, Andium is an Industrial Internet of Things (IIOT) company that designs, builds, and implements integrated technologies for end-to-end methane gas monitoring and tracking, allowing our customers to maximize field resources and respond to situations in real time. Our technologies combine on-site, multi-dimensional video with a machine learning and AI-based platform. Our designs are informed by past and current performance — and by where the market is heading.

• Lead, coach, and grow engineers across embedded firmware/software, hardware (electrical & mechanical), and adjacent teams.
• Drive a high-performance team culture grounded in accountability, psychological safety, and continuous improvement.
• Comfortable co-facilitating core agile/scrum ceremonies — sprint planning, backlog refinement, retrospectives, and reviews — with precision and consistency.
• Own team velocity metrics, delivery health, and engineering throughput KPIs.
• Partner closely with Product Management to align roadmap execution with team capacity and technical feasibility.

• Help lead end-to-end delivery of IoT hardware and firmware programs — from component selection and EVT/DVT through production readiness.
• Manage hardware development milestones, design freeze gates, and cross-discipline dependencies (mechanical, electrical, embedded).
• Translate hardware constraints, lead times, and supply chain risks into clear engineering plans and stakeholder communications.
• Drive technical risk identification across hardware/firmware integration points, ensuring edge cases are surfaced and resolved early.

• Serve as the engineering-side owner for contract manufacturer (CM) relationships — managing NPI handoffs, yield issues, and production quality gates.
• Collaborate with supply chain on component sourcing strategy, approved vendor lists (AVLs), and EOL mitigation planning.
• Drive BOM governance and DFM/DFT review processes in partnership with electrical and mechanical engineering teams.
• Drive manufacturing readiness reviews (MRR) and ensure cross-functional sign-off before production milestones.

• Interface with DevOps Engineering to ensure firmware deployment pipelines, OTA update infrastructure, and device provisioning systems are production-grade.
• Partner with AI/ML Engineering to scope and integrate on-device or edge inference capabilities into IoT platform features.
• Support Developer Experience (DX) Engineering in defining internal tooling requirements that improve hardware and firmware team workflows.
• Collaborate with Product and Engineering leadership to refine the organizational model as teams scale.

• 5+ years of experience in hardware or IoT engineering, with 5+ years in an engineering management or technical leadership role.
• Direct, hands-on experience with embedded systems development — firmware, RTOS, bare-metal, or equivalent.
• Deep familiarity with hardware development lifecycle stages — EVT, DVT, PVT, MP.
• Proven track record managing or closely partnering with contract manufacturers across NPI, ramp, and sustaining engineering.
• Practical knowledge of supply chain fundamentals — component sourcing, lead time management, BOM governance, AVL strategies.
• Experience running Agile/Scrum teams with measurable delivery outcomes.
• Strong communication skills — able to translate hardware constraints and technical complexity to executive stakeholders and cross-functional partners equally well.

• Embedded C/C++, firmware OTA update architectures, RTOS fundamentals.
• Schematic review, PCB design trade-offs, signal integrity concepts.
• Mechanical enclosure design, IP ratings, thermal management considerations.
• IoT connectivity protocols — MQTT, LTE-M, NB-IoT, LoRaWAN, BLE, Zigbee.
• Cloud-connected device architectures — edge compute, device shadow/twin, telemetry pipelines.
• CI/CD for firmware — build systems, simulation environments, hardware-in-the-loop (HIL) testing.
• AI/ML at the edge — awareness of model quantization, TinyML, or on-device inference trade-offs is a plus.

• Builder mentality — you create structure where ambiguity exists and process where chaos tends to live.
• Player-coach orientation — not afraid to get into technical details when your team needs it.
• Data-driven — you track the right metrics and use them to make decisions, not just report upward.
• High trust communicator — proactive, clear, and calibrated across engineering, product, and executive audiences.