As a Embedded Software Engineer (Embedded Systems & Industrial IoT) you are also responsible for
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.
Fuel your passion
To be successful in this role you will have
Bachelor's or Master's 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.
Strong 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.
Preferred Qualifications
Experience with AI/ML model deployment at the edge.
Knowledge of industrial cybersecurity standards such as IEC 62443 and NIST frameworks.
Experience with Kubernetes/K3s at the edge.
Familiarity with digital twins and industrial data platforms.
Experience in Industry 4.0 and smart manufacturing initiatives.
Exposure to DevOps, CI/CD pipelines, and automated testing frameworks.
Experience in Python development.
Competencies
Strong analytical and problem-solving skills.
Excellent debugging and troubleshooting capabilities.
Ability to work effectively in cross-functional global teams.
Strong written and verbal communication skills.
Self-driven with a focus on quality, innovation, and continuous improvement.
Ability to balance customer requirements, technical constraints, and business objectives.
Success Metrics
Successful deployment of scalable edge analytics solutions.
Improved reliability and performance of edge and gateway applications.
Reduced latency and bandwidth consumption through edge processing.
Enhanced operational visibility and predictive insights for industrial assets.
High-quality software delivery aligned with security and reliability requirements
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:
Contemporary work-life balance policies and wellbeing activities
Comprehensive private medical care options
Safety net of life insurance and disability programs
Tailored financial programs
Additional elected or voluntary benefits
The Baker Hughes internal title for this role is: Engineering Specialist - Embedded SW Development
