Location:

Orion Township, MI (Onsite required)

About the Role:

We are developing advanced prognostic and telemetry systems for industrial and power-generation equipment under our developed telematics platform. This role bridges embedded firmware, data ingestion pipelines, and Azure cloud analytics to create intelligent, connected machines capable of real-time health monitoring and predictive maintenance.

You will design, implement, and optimize systems that acquire high-resolution sensor data (CAN, Modbus, analog, vibration, power quality), process it on-device, and publish structured telemetry to the cloud for visualization and analysis.

Key Responsibilities:Embedded & Edge Development

• Develop and maintain firmware for STM32 and nRF91xx-based telematics devices using Azure RTOS / FreeRTOS.
• Implement data acquisition and edge analytics: ADC sampling, vibration processing, RMS/FFT, CUSUM/EWMA health scoring.
• Integrate CAN / CAN-FD / J1939 protocols for engine and generator controller data.
• Manage local storage, event buffering, and CBOR/MQTT encoding to optimize bandwidth and reliability.
• Interface with power quality ICs (e.g., Microchip M90E36A, AD7606C) and external ADCs for AC diagnostics.

Cloud & Data Integration

• Build and maintain device provisioning and ingestion pipelines using Azure IoT Hub, DPS, Functions, Event Hub, and Storage.
• Contribute to Elastic / Kibana dashboards and Synapse/Databricks for predictive analytics and visualization.
• Develop and deploy Azure Functions or Go/Python microservices for data decode, deduplication, and rule-based processing.
• Collaborate with data science teams on predictive models (RUL, anomaly detection) and integrate results back to edge logic.

Systems & Platform

• Participate in design reviews for PT telematics modules, daughter boards, and harness interfaces.
• Support security and provisioning.
• Document system architecture, data flows, and configuration schemas (Twins, MQTT topics, telemetry payloads).
• Test and validate full device-to-cloud workflows in field environments.

Qualifications:Required

• Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or Computer Science.
• 5+ years in embedded firmware development (C/C++, STM32 HAL/LL, or Zephyr/Azure RTOS).
• Experience with Azure IoT Hub / DPS / Functions / Event Hub pipelines.
• Strong understanding of CAN / CAN-FD / J1939 and common generator controller protocols.
• Proven experience in signal processing (FFT, RMS, filtering, sensor calibration).
• Working knowledge of CBOR, MQTT, or binary telemetry formats.
• Familiarity with Modbus RTU/TCP, SPI/I2C peripherals, and ADC integration.

Preferred

• Experience with power systems / genset controls (Basler, DeepSea, or ComAp).
• Knowledge of Azure Synapse, ElasticSearch, or Influx for data analytics.
• Exposure to machine learning for anomaly detection / RUL.
• Familiarity with hardware design, PCB bring-up, and test instrumentation (oscilloscopes, CAN analyzers).
• Comfortable in Linux, Python, and containerized pipelines (Docker/Azure Container Apps).

Soft Skills

• Strong cross-disciplinary communication (embedded ↔ cloud ↔ analytics teams).
• Analytical mindset with focus on diagnostics, efficiency, and reliability.
• Excellent documentation habits, version control (Git), and structured problem-solving.
• Ability to work independently on end-to-end features from firmware to cloud dashboards.

Example Projects You’ll Own

• Prognostic engine for Diesel/Gas and power generators using oil pressure, vibration, and THD metrics.
• Edge firmware for telematics modules integrating ADS131E08 + STM32H7.
• Cloud-side data reordering and burst reconstruction via Azure Functions.
• On-site diagnostics tools for CAN-based genset controllers and PQ sensors.
• Fleet dashboards visualizing real-time health indices and RUL predictions.

Compensation & Benefits

Competitive salary commensurate with experience, plus health, 401(k), performance bonuses, and opportunities to contribute to next-generation industrial telematics and AI-driven maintenance platforms.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: In person