48 Edge Computing Jobs - Page 2

You will play a crucial role as a Senior Hardware Engineer at Enlog, where we are dedicated to revolutionizing energy management through cutting-edge technology that promotes energy efficiency and sustainability. As a burgeoning startup, we foster a dynamic work environment that encourages continuous learning and offers the chance to make a positive impact on the environment. Your primary responsibility will be to lead the Research and Development efforts in designing, developing, and scaling all hardware and embedded systems essential for Enlog's electricity management solutions. This includes overseeing the creation of innovative products ranging from household-level edge devices to grid infrastructure for electricity distribution companies. Key Responsibilities: - Lead the complete cycle of hardware and firmware development - Design embedded energy monitoring devices for various purposes such as unit tracking, phase balancing, grid laxity, and predictive safety - Manage circuit design, sensor selection, PCB development, and firmware delivery - Evaluate and incorporate various components like CTs, power ICs, digital sensors, BLE mesh, sub-GHz, and high-speed ADCs - Drive the hardware development process from prototyping to mass production, ensuring rigorous validation - Establish a team focused on data communication subsystems exploring technologies like Wi-SUN, 6LoWPAN, and BLE mesh You will also be responsible for building and leading a high-impact R&D team, including hiring and managing Analog/Digital Hardware Engineers, Firmware Developers, and Embedded ML Engineers. Your role involves aligning the team for independent execution, promoting structured innovation, and fostering collaboration between design and production teams. In addition, you will spearhead strategic R&D initiatives for Grid-to-Edge Solutions, managing end-device strategies for consumption, distribution, and transmission aspects. This includes designing modular hardware platforms that can adapt to various use cases and collaborating closely with the CTO and Cloud Engineering team on backend firmware integrations, OTA, secure provisioning, and architecture compatibility. Moreover, you will ensure the reliability, compliance, and scalability of the hardware products, defining and enforcing test plans, ensuring regulatory compliance, and optimizing for manufacturability and testability. Your role also involves staying updated on emerging technologies in sensing, communication, and ML, while leading the launch of impactful Proof of Concepts with key partners. Requirements: - 5-7 years of hands-on experience in embedded hardware and firmware development - Demonstrated track record of delivering IoT devices at scale - Strong expertise in power electronics, energy metering, and wireless protocols - Experience in firmware-cloud integration and OTA - Exposure to AI/ML in embedded systems is a plus - Previous experience in leading hardware/embedded teams or founding hardware projects is desirable Nice to Have: - Experience with IoT platforms and edge computing - Knowledge of Linux-based systems and scripting languages - Familiarity with cloud integration and REST APIs - Prior experience in a fast-paced startup environment If you are passionate about driving innovation in energy management and possess the required expertise, we encourage you to apply for this exciting opportunity by sending your resume to hr@enlog.co.in. Join us in our mission to create a greener and more sustainable future with Enlog!,

You will be responsible for leading and shaping various development initiatives as an experienced Architect specializing in Computer Vision software. Your role will involve integrating advanced algorithms and optimizing solutions for real-world UAV applications like Vision-based UAV navigation, object detection/tracking, and obstacle avoidance. This may require working with multiple sensors such as radar, inertial, GPS, in addition to cameras. Experience in developing multi-modal architectures for applications like Advanced Driver Assistance Systems (ADAS), Robotics, or UAVs will be advantageous. Your key responsibilities will include incorporating advanced DL/CV algorithms into the system architecture, designing scalable software systems, and leveraging hardware capabilities to optimize software performance. You will also be involved in defining strategies for edge computing deployment and collaborating effectively with cross-functional teams. To excel in this role, you should have expertise in deep learning frameworks like TensorFlow or PyTorch, experience in edge computing and deploying solutions on embedded devices, and knowledge of ROS/ROS2 and hardware acceleration using OpenCL/CUDA. Publications in top CV/ML conferences and a solid understanding of software architecture principles are desirable. Strong leadership, communication skills, and a degree in Computer Science, Electrical Engineering, or a related field will be valuable assets for this position.,

Dear Candidate, We are hiring a FinOps Analyst to bring financial accountability to our cloud operations. Key Responsibilities: Track cloud expenditures and identify savings. Collaborate with engineering and finance teams. Build cloud cost dashboards and forecasts. Required Skills & Qualifications: Familiarity with cloud billing tools and reports. Strong Excel or BI reporting skills. Cloud certification is a plus. 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

Design, develop, and deploy IoT solutions integrating sensors, devices, and cloud platforms Work with communication protocols like MQTT, CoAP, Zigbee, LoRa, and BLE Develop firmware and software for edge devices using languages like C/C++, Python, or embedded Linux Integrate IoT systems with cloud services (e.g., AWS IoT, Azure IoT Hub, Google Cloud IoT) Ensure data acquisition, processing, and secure transmission from devices to backend systems Perform testing, troubleshooting, and performance optimization of IoT devices and networks Collaborate with cross-functional teams (hardware, software, cloud) to deliver end-to-end IoT solutions Maintain documentation and support continuous improvement of IoT architectures

Role Overview As a Software AI Engineer in the System Optimization team, you will contribute to developing scalable, efficient AI-powered solutions deployed on edge devices. This role involves working with a multidisciplinary team to enhance software performance, optimize resource usage, and streamline AI model integration into production environments. Responsibilities Contribute to the development of tools and frameworks for performance measurement and system optimization. Assist in profiling and tuning AI models and software components for deployment on edge platforms (CPU/GPU/DSP). Support algorithm integration for driver monitoring and driver assistance systems. Help optimize data pipelines and logging/reporting mechanisms to support real-time analytics. Collaborate with senior engineers to identify bottlenecks and implement efficient code. Support debugging and triaging of issues in production and test environments. Required Skills B.E/B.Tech or M.E/M.Tech in Computer Science, Electronics, Electrical, or related fields. 23 years of experience in software development, preferably in embedded or IoT environments. Good grasp of CS fundamentals including data structures, algorithms, and operating systems. Proficiency in at least one programming language: C/C++, Python. Basic knowledge of system profiling, performance tuning, or resource optimization. Familiarity with ML/CV concepts and frameworks such as OpenCV, TensorFlow, PyTorch, or ONNX is a plus. Exposure to build systems (Make/CMake), version control (Git), and CI/CD tools like Jenkins. Preferred (Good to Have) Familiarity with embedded/edge computing platforms such as NVIDIA Jetson, Qualcomm Snapdragon, etc. Exposure to ML optimization tools like TensorRT, SNPE, or OpenVino. Understanding of containerization (Docker) and orchestration (Kubernetes) environments. Hands-on experience with Linux-based development and debugging.

We are seeking a highly experienced Senior Infrastructure Specialist to lead and manage scalable infrastructure and container-based environments. This role focuses on Kubernetes orchestration , automation , and maintaining secure, reliable, and efficient platform services. Youll play a critical role in evolving infrastructure systems using modern DevOps practices, and driving the adoption of containerization and cloud-native technologies across the organization. Key Responsibilities: Design, automate, and maintain CI/CD pipelines for OS image creation. Independently create, manage, and deploy hypervisor templates. Manage and scale the Vanderlande Container Platform across test, acceptance, and production environments. Administer and optimize 150+ downstream Kubernetes clusters , ensuring performance, reliability, and uptime. Improve solutions related to container platforms , edge computing , and virtualization . Lead the transition from VMware OVAs to a Kubernetes-based virtualization architecture, incorporating insights from Proof of Concept (PoC) initiatives. Focus on platform automation , using Infrastructure as Code to minimize manual tasks. Ensure security hardening and compliance for all infrastructure components. Collaborate closely with development, DevOps, and security teams to drive container adoption and lifecycle management. Required Qualifications & Skills: 8+ years of infrastructure engineering experience. Deep expertise in Kubernetes architecture, deployment, and management. Strong background in Linux systems administration and troubleshooting. Proficiency with cloud platforms (AWS, Azure, GCP). Hands-on experience with Infrastructure as Code tools like Terraform and Ansible. CI/CD development experience (GitLab, Jenkins, ArgoCD, etc.). Familiarity with virtualization technologies (VMware, KVM). Key Skills (Core): Kubernetes (cluster management, Helm, operators, upgrades) Containerization (Docker, container runtime, image security) Cloud-Native Infrastructure Linux System Engineering Infrastructure as Code (IaC) DevOps & Automation Tools Security & Compliance in container platforms Soft Skills: Proactive and solution-oriented mindset. Strong communication and cross-functional collaboration. Analytical thinking with the ability to troubleshoot complex issues. Time management and the ability to deliver under pressure. Preferred Qualifications: CKA / CKAD Certification (Kubernetes) Cloud certifications (AWS/Azure/GCP) Experience in implementing container security and compliance tools (e.g., Aqua, Prisma, Trivy) Exposure to GitOps tools like ArgoCD or Flux Monitoring and alerting experience (Prometheus, Grafana, ELK stack) Key Relationships: Internal: -DevOps, Platform, and Development teams -Cloud Infrastructure Teams -Cybersecurity and Governance groups External: -Technology vendors and third-party platform providers -External consultants and cloud service partners Role Dimensions: -Ownership of high-scale Kubernetes infrastructure -Strategic modernization of infrastructure environments -Coordination of multi-cluster container platforms Success Measures (KPIs): -Uptime and reliability of container platforms -Reduction in manual deployment and provisioning tasks -Successful Kubernetes migration from legacy systems -Cluster performance and security compliance -Team enablement and automation adoption Competency Framework Alignment: Kubernetes Mastery: Deep expertise in managing and optimizing Kubernetes clusters. Infrastructure Automation: Creating reliable, repeatable infrastructure workflows. Containerization Leadership: Driving adoption and best practices for container platforms. Strategic Execution: Aligning infrastructure strategy with enterprise goals. Collaboration: Building bridges between development, operations, and security

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.