21 Edge Computing Jobs

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.

Role & responsibilities Architect and develop scalable, high-performance Edge computing solutions for IoT applications. Lead the design and implementation of asynchronous task processing using Python (asyncio, Twistd, Tornado, etc.) for efficient data handling and device communication. Develop and optimize IoT data pipelines, integrating sensors, edge devices, and cloud-based platforms. Collaborate with cross-functional teams to define edge computing strategies, system architectures, and best practices. Work on device-to-cloud communication using MQTT, WebSockets, or other messaging protocols. Ensure software is secure, reliable, and optimized for resource-constrained edge environments. Design and optimize Linux-based networking for edge devices, including network configuration, VPNs, firewalls, and traffic shaping. Implement and manage Linux process management, including systemd services, resource allocation, and performance tuning for IoT applications. Conduct code reviews, mentor junior developers, and provide technical leadership in edge software development. Stay updated with emerging IoT, edge computing, and Linux networking technologies. Preferred candidate profile Perks and benefits

Demonstrate knowledge in architecting, designing and developing IoT solutions in the connectivity layer using different IoT Platforms in the market (Ex: Azure, AWS, Thingworx etc) Closely interact with customers, understand the business need, and convert business needs to technical specifications Demonstrate ownership in ensuring that technical solutions are implemented as per specifications Create proof-of-concepts to demonstrate viable of solutions Demonstrate knowledge and experience in Agile, ALM, Capacity planning, Cost Estimations, Risk Management and Mitigation, Compliance, DevOps and Security Architecture. Demonstrate high degree of technical knowledge, provide guidance and nurture the team. Review the deliverables and provide recommendations to the team. Participate in conducting technical training, and contributions to presales activities. Delivering insights and suggestions for continuous improvement in the existing technical solutions. Creating a culture of continuous learning and self-development. Responsible for the technical design and architecture of complex projects by evaluating design Alternatives which is cost benefit Qualifications Bachelor of Engg in either or Electronics and Communication, Computer Science or Information Technology 5+ years of experience in working with IoT Connectivity Protocols like HTTPS/MQTT/AMQP/ZIGBEE/LORAWAN 5+ years of work experience in working with IoT Platforms like Azure IoT Hub, AWS IoT Core, IoT Suite, THingworx Platform etc Knowledge on emerging IoT and Mobile Technologies and Communication Protocols Experience in Gateway Software Development using OSGI framework Experience on any IoT platforms for Edge computing (Ex : AWS Greengrass) Experience programming applications backed by cloud services. Demonstrated ability to adapt to new technologies. Experience in one or more specific IoT / embedded / M2M industry (i.e. home automation, business automation, health, asset tracking, smart utilities, etc.) Strong knowledge on best practices for API/Microservice Development, design patterns, UX and containerization technologies (Docker/Kubernetes) Experience designing and implementing end-to-end Continuous Delivery pipelines. Strong knowledge on Design Patterns Strong knowledge on cloud security, RBAC, and SAS Knowledge on cloud platforms and relevant industry certifications will be added advantage. Previous work experience in handling RFPs and preparing technical proposals will be added advantage Required Skills IoT, Azure, AWS, Thingworx, Design, Azure IoT Hub, AWS IoT Core, IoT Suite, THingworx, AWS, RFPs, Cloud Security, RBAC, and SAS, Docker, Kubernetes, API, RBAC, SAS, UX, HTTPS, MQTT, AMQP, ZIGBEE, LORAWAN

About the Role 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. - 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. 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.

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.

Design and implement SCADA, PLC, and IIoT solutions for industrial automation. Manage real-time data processing, edge computing, and cybersecurity for OT. Ensure secure IT-OT integration, optimize instrumentation, and lead FAT/SAT and compliance. Required Candidate profile UG /PG in Instrumentation, Electrical, with 5-15 years in OT, industrial automation, and IIoT, SCADA, PLC, real-time data, cybersecurity, edge computing, and protocols like Modbus, OPC UA, and HART.

Design and deploy Azure cloud, IoT, XR, and edge computing solutions. automation, DevOps, and security best practices. Manage IoT devices, develop AR/VR applications, and ensure scalable, cost-effective cloud operations for industrial environments. Required Candidate profile 5-15 years in cloud, IoT, XR, or edge computing. Expertise in Azure services, automation (Python, PowerShell), IoT (LoRaWAN, RTLS), and XR (Unity, Blender).

Senior Cloud Engineer – IoT & Edge Computing to design, deploy, and manage Azure cloud & on-prem solutions for IIoT & OT environments. Responsibilities include cloud security, automation, networking, device lifecycle, and real-time data solutions. Required Candidate profile 5+ years in Azure Cloud, AZ900 certified, expertise in IIoT, OT, DevOps, Security, Automation, Networking, Edge Computing, AR/VR, RTLS, and Hybrid Cloud solutions, XR technologies (AR/VR/MR)

key responsibilities Embedded software, Firmware in C, C++ on Linux, QT, Python Collaborate with Hardware team for driver development Skill Sets One or more skill sets listed below to fit in different positions in the development team Expertise in Embedded / RTOS : RT Linux, FreeRTOS, Linux Distributions Arch, Debian, Yokto Expertise in C, C++ (GCC), QT, Python Expertise in SQLlite Implementation experience in Socket programming, MQTT, AMQP, HTTPS, Web Socket, REST, SOAP, COAP Hands on experience in security middleware SSL, TLS and their open source implementations Good Analytical skills Education / Qualification MTech / BTech /BE ( Electronics / computer science) Experience 5+ years hands-on experience for Program Manager / Lead Developer 3+ years for Sr. Developer Location : Pune.

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.