Embedded & Cloud Systems Engineer

Key Responsibilities

• Develop firmware for MCUs (ARM Cortex, STM32, ESP32) supporting CAN, J1939, BLE, OBD-II, and RFID.
• Create drivers and HALs for interfacing with sensors, GPS, and wireless modules.
• Implement OTA firmware update systems, diagnostics logging, and performance optimization for power and uptime.
• Build RESTful and WebSocket APIs for ingesting edge telemetry.
• Develop serverless and containerized pipelines (AWS Lambda, Docker, etc.) to process time-series data.
• Design and maintain database schemas (SQL, NoSQL, time-series DBs).
• Support multi-tenant cloud infrastructure and secure data routing.
• Collaborate with data and software teams to integrate AI/ML models for predictive maintenance, anomaly detection, and event classification.
• Support automation of firmware and software testing pipelines.
• Design ETL and data transformation workflows to enable real-time analytics.
• Collaborate with front-end teams on real-time data dashboards (React, Grafana, etc.).
• Deliver backend services to power portals, alerts, and reporting tools.
• Contribute to system architecture for unified, cloud-connected dashboards.
• Work in agile cycles with rapid prototyping and frequent deliverables.
• Interface with product, engineering, and client teams to refine requirements.
• Write clean, well-documented, version-controlled code that reflects pride and precision.

Required Technical Skills

• Languages: C/C++, Python, Node.js
• Protocols: CAN, J1939, UART, SPI, I2C, BLE, TCP/IP, MQTT
• Hardware: ARM Cortex MCUs, ESP32, GPS modules, RFID, BLE sensors
• Cloud: AWS IoT Core, Lambda, DynamoDB, EC2, S3, Greengrass
• Backend: REST APIs, WebSockets, serverless architecture, event-driven systems
• Databases: PostgreSQL, InfluxDB, MongoDB, Redis
• DevOps: Git, CI/CD, Docker, Infrastructure-as-Code (Terraform or similar)
• Visualization: Grafana, React, or similar
• AI Tools (Preferred): TensorFlow Lite, Edge AI, AWS Sagemaker, or equivalent

Experience & Qualifications

• Bachelor’s degree in Computer Engineering, Computer Science, or equivalent practical experience.
• 3–7 years in embedded firmware, IoT, or full-stack data platform development.
• Experience in fleet, logistics, construction tech, or smart infrastructure preferred.
• Proven ability to deliver robust, connected hardware/software products.

Pay

$120,000 – $150,000 DOE

Benefits

• 401(k)
• health/dental/vision insurance
• PTO

Opportunity

Opportunity to work across both Stealth Power (clean energy systems) and Stealth Intelligence (data & analytics platform).

Culture

A collaborative culture that values technical mastery, ownership, and results.

About the Role

This role is ideal for a technical expert who thrives on precision, clarity, and execution, someone who enjoys working at speed but with care, who takes ownership of their code, and who delivers systems that simply work.