Structured programmes for software engineers, data science and DevOps.
Embedded Software Engineer (Embedded Systems & Industrial IoT)
Get alerts for roles like this
More Embedded Software Engineer (Embedded Systems & Industrial IoT) roles in Mumbai, Maharashtra — straight to your inbox. No account needed.
Applying to this role? Tailor your résumé to this job description in one click, then download it free — just a small ResumeKart footer, no subscription.
Job Description
**Embedded Software Engineer (Embedded Systems & Industrial IoT)** **Would you like to help shape and implement our Digital Technology teams' strategic direction? ** **Are you passionate about Technology and Development? ** **Join our team!
** Baker Hughes is the leading energy technology company, who delivers across the energy value chain through our market-leading business segments. Built on a century of experience and conducting business in over 120 countries. Our innovative technologies and services are taking energy forward!
Making it safer, cleaner and more efficient for people and the planet.
**Partner with the best** 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 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: + C
Required Skills
Upskill for This Role
Courses from Udemy and edX matched to this role's skills.

Rust-Powered AWS Serverless: Lambda, SQS, and Step Functions

Building and Managing Web Applications in AWS

AWS Certified Cloud Practitioner Practice Exams

AWS Certified Machine Learning Engineer 2026

AWS Solutions Architect - Associate SAA-C03 (Sept 2025)

AWS SAA-C03 Practice: 850+ Questions on Networking
ResumeKart may earn a commission from these links at no extra cost to you.
Partner picks for Embedded Software Engineer (Embedded Systems & Industrial IoT) in Mumbai
Matched to the skills this page calls for and the candidate's location.
- Partner course providercovers pythoncovers machine learningcovers devopscovers awsBengaluruVisit partner →
- UdemyVerified partnerPartner course provider
A marketplace of instructor-created courses across technology, business and creative skills.
covers pythoncovers awscovers docker - Partner course provider
Certification training in cloud, data, cyber security, project management and digital marketing.
covers awscovers azurecovers devopsBengaluruVisit partner →
Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns
Prepare to Win This Role
Everything you need to ace the interview and negotiate top-of-band compensation.