17 Edge Computing Jobs

Design systems for local data processing. Implement solutions for IoT and real-time analytics. Ensure system security and performance.

Design systems for local data processing. Implement solutions for IoT and real-time analytics. Ensure system security and performance.

Design systems for local data processing. Implement solutions for IoT and real-time analytics. Ensure system security and performance.

Job Description: ENERGY7 is seeking a passionate and skilled IoT Engineer to join our team working on cutting-edge projects in remote diagnostics, predictive maintenance, and real-time monitoring for Indian Railways and global clients. You will be responsible for designing, developing, and deploying end-to-end IoT solutions, integrating hardware, firmware, and cloud-based analytics. Key Responsibilities: Design and develop IoT devices using microcontrollers (ESP32, STM32, etc.) Interface sensors and actuators via RS-485, UART, I2C, SPI, Modbus, LoRa, Zigbee, or LTE. Develop firmware in C/C++/MicroPython for real-time data acquisition and control. Integrate with cloud platforms (AWS, Azure, or custom MQTT/HTTP/REST endpoints). Collaborate with data science and software teams to ensure reliable data flow and system scalability. Participate in system testing, field deployment, debugging, and performance tuning. Create technical documentation and provide support during installation and maintenance. Desired Candidate Profile: Bachelor's/Master's in Electronics, Instrumentation, Computer Science, or related field. 2-5 years of experience in IoT hardware design and firmware development. Proficiency in embedded C/C++, RTOS, or FreeRTOS. Familiarity with industrial communication protocols like Modbus RTU/TCP, MQTT, RS-485, etc. Experience in PCB design and hardware debugging (preferred). Working knowledge of cloud platforms or edge computing (Jetson, Raspberry Pi, etc.) is a plus. Strong problem-solving, documentation, and communication skills. Nice to Have: Experience with predictive maintenance or condition monitoring systems. Knowledge of AI/ML or data pipelines for sensor data. Exposure to Indian Railway signalling systems or industrial automation setups.

Design systems for local data processing. Implement solutions for IoT and real-time analytics. Ensure system security and performance.

4+years Solution Architecture,design,technical solutions,IIoT,AI/ML systems,IOT Protocols,Cloud platforms, Database,microservices, containerization,real-time streaming systems.Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Edge Computing Good to have skills : Python (Programming Language), C++ Programming Language Minimum 6 year(s) of experience is required Educational Qualification : BE BTECH MCA Summary : As an Application Lead for Packaged Application Development, you will be responsible for designing, building, and configuring applications, acting as the primary point of contact. Your typical day will involve leading the effort to develop and deploy Edge Computing solutions using your expertise in Python and C++ programming languages. Key Responsibilities : Should be Proficient in Embedded technologies (Linux, C/C++, Python) for Edge computing. Must have Advanced AI/ML development for Edge. Must have Expertise in Docker, Container Orchestration, IoT Hub integration, and architecting solutions for major cloud IoT platforms (Azure, AWS, Google) for Edge. Technical Experience : Should have worked on Workload design and development proficiency for HCI (Azure Stack HCI, Dell VxRail). Must have Expertise in application performance tuning across CPU, GPU, VPU etc. Hands-on experience with various Edge computing hardware (NVIDIA Jetson, Intel NUC, etc) and specialized knowledge in Neural Network Layer optimization. Additional Information: The candidate should have a minimum of 6 years of experience in Edge Computing. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful Edge Computing solutions.

Job Summary: We are seeking a dynamic and technically sound Presales Engineer to join our team, who will be responsible for understanding customer requirements, designing suitable solutions, and supporting the sales team with technical expertise. The ideal candidate should have be familiar with Industrial Automation, IoT, PLC systems, Edge Solutions, and IT-OT integration, and must be able to bridge the gap between technical teams and manufacturing clients. Key Responsibilities: Engage with prospective customers to understand their business processes and pain points in manufacturing operations. Collaborate with the sales team to define customer-specific solutions using IT-OT, Edge Computing, IoT, MES, and PLC-based technologies. Create and deliver compelling technical presentations, product demonstrations, and solution architectures. Draft detailed technical proposals, architecture diagrams, BOM, effort estimation aligned with customer requirements. Participate in RFP/RFI responses, POCs. Liaise with engineering and product teams to ensure proposed solutions are feasible and scalable. Act as a key technical advisor during sales discussions and negotiations. Stay up-to-date with industry trends in Industry 4.0, smart manufacturing, IIoT, and digital transformation. Maintain a knowledge base of solutions, success stories, and competitive positioning. Required Skills and Experience: Bachelor's/Masters degree in Electrical, Electronics, Instrumentation, Industrial, or Computer Engineering. Proven experience (3+ years) in a presales, application engineering, or solution architecture role in the manufacturing or automation industry. Good understanding of: PLCs (e.g., Siemens, Allen Bradley, Schneider) SCADA/HMI systems OPC UA, MQTT, Modbus protocols Edge Computing platforms (e.g., Node-RED, Kepware, Ignition Edge) MES platforms and industrial data handling IoT platforms and cloud integration (Azure, AWS, etc.) Cybersecurity fundamentals in OT environments Experience in IT-OT convergence projects and digital transformation in manufacturing. Excellent communication, presentation, and stakeholder management skills. Ability to write clear, concise, and technically detailed documentation. Good to Have: Experience with Industry 4.0 frameworks, ISA-95, and ISA-88. Familiarity with analytics dashboards, BI tools (Power BI, Grafana), and data historians. Exposure to manufacturing domains like automotive, FMCG, pharma, or discrete manufacturing. Certifications in automation systems, cloud platforms, or industrial cybersecurity. What We Offer: Opportunity to work at the forefront of Industry 4.0 transformation. Collaborative and innovative work environment. Exposure to cutting-edge industrial technologies. Professional growth through continuous learning and hands-on challenges. if the above job details resonate to your experience, then please send us your resume to Harshish@axcend.com

Interface with industrial protocols: OPC UA/DA, Modbus, BACnet.Configure telemetry pipelines using REST APIs, WebSockets, gRPC. Generate network diagrams, configuration documents, and audit. validate Orbital edge devices at industrial client sites.

Design, deploy, and maintain hybrid cloud infrastructure for OT edge environments. Manage on/off-premise platforms, ensure secure network continuity, and lead integration of edge compute solutions across IT/OT systems. Required Candidate profile 8–15 years of experience in Azure and VMware-based hybrid infrastructure. Proficient in OT systems, virtualization, network security, and automation. Strong leadership, edge deployment

Design, deploy, and manage secure Azure cloud and on-prem infrastructure for OT systems and connected worker technologies including XR, RTLS, and IoT. Ensure system uptime, optimize performance, and support field installations. Required Candidate profile Bachelor’s in Computer Science/IT with 5–10 years' experience in Azure cloud infrastructure for OT. Proven skills in XR/RTLS deployment, automation, field device lifecycle, and hybrid cloud systems.

Dear Candidate, Seeking an Edge Cloud Architect to build decentralized architectures for low-latency applications. Key Responsibilities: Design hybrid edge-cloud systems. Deploy services near the user using CDNs or edge locations. Optimize performance for IoT, gaming, and media applications. Required Skills & Qualifications: Experience with Cloudflare Workers, AWS Wavelength, or Azure Edge Zones. Strong networking and latency optimization knowledge. Proficiency in lightweight, distributed architectures. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Description : This is what you are responsible for : - Lead the architectural design and implementation of scalable, reliable, and high - performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high- quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge - based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high - performance, low - latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware - software co - design, embedded systems, and edge computing solutions is a plus. - Excellent problem - solving and communication skills, with the ability to explain complex technical concepts to both technical and non - technical stakeholders.

We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect , you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions. This is what you are responsible for : - Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Preferred qualifications : - Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines. - Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing. - Experience working in a fast-paced, startup environment is a plus. What you will gain : - Be part of a pioneering team shaping the future of AI and edge computing. - Work on innovative projects that solve real-world challenges. - Opportunity to grow with a dynamic, forward-thinking company. - Competitive salary, benefits, and a collaborative work environment.

- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Job Purpose/Summary : We are seeking an enthusiastic and tech-savvy Industrial IoT Engineer passionate about solving industrial challenges through cutting-edge IoT solutions. The candidate will be responsible for supporting industrial IoT applications, troubleshooting issues, and developing innovative use cases that optimize industrial processes. Key Responsibilities : Provide technical support for Industrial IoT solutions and troubleshoot issues. Develop and implement IIoT use cases to enhance industrial efficiency. Execute IoT IMAC (Install, Move, Add, Change) tasks. Work with IoT devices, cloud platforms, and edge computing for scalable solutions. Collaborate with industrial teams to identify challenges and propose solutions. Key Performance Indicators : Configure and maintain industrial protocols (MQTT, OPC UA, Modbus, TCP/IP, UDP). Develop preventive maintenance schedules, reporting systems, alerts, and Grafana dashboards. Ensure efficient data collection, processing, and analysis for predictive maintenance. Stay updated with IIoT trends, security practices, and emerging technologies. Qualifications : Bachelors degree in Engineering, Electronics, Computer Science, or related fields. 2–3 years of hands-on experience in IoT engineering. Strong troubleshooting and problem-solving skills in industrial environments. Experience with Azure Cloud, PLC, SCADA, and industrial automation. Proficiency in Python , JavaScript , and Node-RED . Familiarity with SQL, NoSQL, and Time-Series databases. Knowledge of edge computing and embedded systems. Expertise in OS installation and hardware troubleshooting. Excellent communication and teamwork skills. Functional Skills/Competencies : Hands-on experience with Raspberry Pi, Arduino, or other IoT hardware. Basic knowledge of Linux and Bash scripting. Familiarity with Git, Docker, and cybersecurity for industrial IoT.