Job Summary

Embedded Software Engineer (Embedded Systems & Industrial IoT)

We are seeking an experienced Edge Analytics Engineer with 5 years of hands-on experience in developing firmware and software applications for industrial automation, manufacturing, energy, transportation, or related domains. The ideal candidate will possess deep expertise in embedded systems, Industrial IoT (IIoT), edge computing, gateway software development, and Operational Technology (OT) networks.

The role involves designing, developing, and deploying edge analytics solutions that collect, process, and analyze data from industrial assets and sensors, enabling real-time decision-making, predictive maintenance, and operational efficiency. The candidate will work closely with product, cloud, data, firmware, and industrial engineering teams to deliver scalable and secure edge solutions.

As an Embedded Software Engineer (Embedded Systems & Industrial IoT) you are also responsible for

Responsibilities

Edge Software & Analytics Development

- Design, develop, and maintain edge analytics applications for industrial environments.
- Build data acquisition, processing, filtering, aggregation, and analytics capabilities at the edge.
- Develop real-time analytics algorithms for asset monitoring, anomaly detection, and predictive maintenance.
- Optimize analytics workloads for resource-constrained embedded and gateway platforms.

Embedded Systems & Firmware Integration

- Collaborate with firmware teams to integrate edge analytics capabilities into embedded devices.
- Develop software components that interface with sensors, PLCs, RTUs, industrial controllers, and field devices.
- Troubleshoot hardware-software interactions and improve system reliability and performance.
- Support firmware upgrades, diagnostics, and lifecycle management.

Industrial IoT and Gateway Development

- Design and develop IoT gateway software for industrial deployments.
- Implement edge-to-cloud connectivity and data management solutions.
- Develop containerized applications and edge services for deployment on IoT gateways.




- Enable secure device onboarding, provisioning, monitoring, and management.

OT Network Integration

- Integrate with industrial communication protocols and OT infrastructure.
- Interface with industrial systems such as SCADA, DCS, PLCs, historians, and MES platforms.
- Configure and troubleshoot industrial network communication and data flows.
- Ensure secure connectivity between OT and IT environments.

Security & Reliability

- Implement cybersecurity best practices for edge devices and industrial networks.
- Ensure secure communication, authentication, encryption, and access control.
- Support compliance with industrial cybersecurity standards and organizational security guidelines.
- Participate in security reviews, threat assessments, and vulnerability remediation activities.

Cross-Functional Collaboration

- Collaborate with cloud, AI/ML, data engineering, and product teams to deploy edge intelligence solutions.
- Participate in architecture reviews, design discussions, and technical decision-making.
- Mentor junior engineers and contribute to engineering best practices.
- Create technical documentation, deployment guides, and operational procedures.

Requirements

Educational & Experience

- Bachelors or Masters degree in Computer Science, Electronics Engineering, Electrical Engineering, Embedded Systems, or a related discipline.
- 5 years of experience in embedded software, industrial software, IoT, or edge computing environments.
- Experience delivering software products or solutions in industrial automation, manufacturing, energy, utilities, transportation, or similar domains.
- Robust proficiency in C and C .
- Experience with embedded Linux and RTOS environments.




- Knowledge of device drivers, board support packages (BSP), and hardware interfaces.
- Experience with ARM-based processors and embedded hardware platforms.

Industrial IoT & Edge Computing

- Experience developing Industrial IoT solutions and edge applications.
- Knowledge of edge computing architectures and distributed systems.
- Familiarity with Azure IoT, AWS IoT, EdgeX Foundry, or similar platforms.
- Experience with Docker containers and container orchestration at the edge.

Gateway Software

- Experience developing software for industrial gateways and edge devices.
- Knowledge of device management, telemetry, diagnostics, and remote updates.
- Familiarity with messaging technologies such as MQTT, AMQP, and OPC UA.

OT Networks & Industrial Protocols

- Strong understanding of industrial networking concepts.
- Experience with one or more industrial protocols:
- OPC UA
- Modbus TCP/RTU
- EtherNet/IP
- Profinet
- IEC 61850
- Understanding of SCADA, DCS, PLC, MES, and Historian systems.

Cloud & Data Technologies

- Experience integrating edge platforms with cloud services.
- Knowledge of time-series data processing and industrial data models.
- Familiarity with Python for analytics and automation.
- Understanding of REST APIs and microservices architecture.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Role: Blockchain Quality Assurance Engineer, Industry Type: Industrial Equipment / Machinery, Department: Engineering - Software & QA, Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills aialgorithmsanalyticsanomaly detectionapisarchitectureautomated testingautomationawsaws iotazureazure iotbspci/cd pipelinescloudcloud servicescommunication skillscompliancecontainercontainer orchestration

📌 Embedded Software Engineer (Embedded Systems & Industrial IoT) (Mumbai)
🏢 Baker Hughes
📍 Mumbai