48 Edge Computing Jobs

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a Flex Work approach that is truly flexible to support where, when, and how you do your best work. At Dolby, the aim is to change the way the world experiences sight and sound. Dolby enables people to experience music, movies, videos, and pictures in all their intended grandeur, making life and work more meaningful and immersive. Dolby provides technology to content creators, owners, distributors, manufacturers of TV, mobile, and PC, as well as social and media platforms, so they can truly delight their customers. Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs, focusing on innovating technologies in audio, video, AR/VR, gaming, music, and movies. Various areas of expertise related to computer science and electrical engineering are highly relevant to the research conducted by ATG. As a talented Applied Researcher at Dolby, you will have the opportunity to advance the state of the art in technologies of interest to Dolby and society at large. Research areas at Dolby Laboratories include large-scale cloud and edge data platforms and services, accelerating insight discovery from data, and topics such as distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogeneous data analytics. Key Responsibilities: - Develop platforms and tools to enable interactive and immersive data-driven experiences utilizing AI-based techniques. - Deploy AI/ML training and inference algorithms in distributed computing environments. - Partner with ATG researchers on opportunities in adjacent research domains such as applied AI and machine learning in audio/video domains. Requirements for Success: - Technical depth: Ability to implement scalable AI/ML libraries and platforms for real-time processing and knowledge of Audio/Video streaming formats. - Openness to explore new technologies and innovate in new areas. - Ability to invent and innovate technologies that enhance the sight and sound associated with digital content consumption. - Sense of urgency to respond to changing trends and technologies. - Collaborative mindset to work with peers and external partners to develop industry-leading technologies. Background: - PhD in Computer Science or related field with proven R&D experience or exceptional Master's candidates with 4+ years of experience. - Expertise in deep learning frameworks and ML libraries such as TensorFlow, PyTorch, scikit-learn, Spark MLLib. - Experience in large-scale distributed systems like Hadoop, Spark, etc. - Proficiency in Python, C++, or related languages. - Strong analytical, problem-solving, communication, and presentation skills. - Experience with AWS, GCP, DevOps, CI/CD, and UNIX/Linux commands. - Strong publication record in leading IEEE, ACM conferences and journals. Join Dolby and be part of a team that is shaping the future of entertainment technology with innovative research and cutting-edge solutions.,

As a Senior AI Engineer with React Native expertise, you will be responsible for developing and integrating AI features using various LLMs such as Norah AI, OpenAI GPT, Google Gemini, and Claude. Your tasks will include creating AI-driven onboarding processes, recommendations, virtual assistants, and news digests. Additionally, you will implement instant voice translation through the Google Translate API, personalized notifications based on user preferences and location, and optimize AI models for mobile platforms like TensorFlow Lite and Core ML to ensure low latency, offline support, and battery efficiency. In the realm of React Native front-end development, you will be tasked with building responsive, cross-platform UI/UX features such as onboarding flows, event booking systems, concierge chat interfaces, and navigation components. You will integrate real-time functionalities like WebSockets, Firebase push notifications, and third-party APIs such as Almosafer, BlackLane, Uber, BLE beacons, and Marcom. Ensuring accessibility, security measures like OAuth and JWT, and cultural alignment for example, understanding Saudi etiquette will also be crucial aspects of your responsibilities. Your role will involve feature implementation across various areas including onboarding and personalization, booking and planning, concierge services and AI assistant functionalities, navigation and real-time capabilities, engagement and security features, as well as admin support for analytics, event monitoring, and emergency alerts. You will be required to test AI accuracy, bias, and mobile performance, optimizing for offline usage, real-time updates, and accessibility. Collaboration with cross-functional teams to align with MoT protocols and documenting AI pipelines and React Native code will be essential parts of your job. To qualify for this position, you should have at least 5 years of experience in AI engineering, with a minimum of 3 years of experience integrating AI into React Native mobile apps for iOS and Android platforms. You should possess expertise in AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as well as familiarity with LLMs such as OpenAI and Google Gemini. Proficiency in React Native, JavaScript/TypeScript, Redux, and UI libraries like React Native Elements is required. Strong skills in API integrations, voice APIs like Google Translate, real-time systems, and secure authentication methods are also necessary. Knowledge of mobile AI optimization techniques and navigation technologies is a plus. A Bachelor's or Master's degree in Computer Science, AI/ML, or a related field is preferred for this role. In addition to technical skills, you should have strong problem-solving abilities, collaboration skills, and effective communication with both technical and non-technical stakeholders. This is a full-time position located in person. When applying, please specify your notice period and total experience of 4 years.,

As an experienced professional with over 5 years of expertise in AI, Cloud Architecture (with a strong emphasis on Azure), and Global SaaS/AI/AgTech Startups, you have the opportunity to shape the future of AI-Driven Agriculture in a high-impact, senior role based in Gurugram, IN. In this role, you will be responsible for architecting scalable AI, IoT, and cloud solutions that contribute to sustainable farming practices. Working closely with the Founder & CEO, CTO, and AI/IoT teams, you will play a pivotal role in defining and executing a global-ready Azure AI-Cloud architecture. Your expertise will be instrumental in expanding the global market presence of AI-driven vertical farms & Agritech platforms into markets such as SEA, UAE, and the US. Your primary responsibilities will include architecting and scaling INNOFarms.AI's AI-powered cloud platform on Azure, optimizing AI-driven data pipelines for real-time farm monitoring, decision-making, and automation, integrating IoT, Robotics, and AI models into a scalable Cloud & Edge Computing framework, and enhancing cybersecurity, compliance, and data privacy measures for global markets. Additionally, you will provide strategic technical direction, guide engineering teams in India(Gurugram) and HK, and collaborate closely with the Founder & CEO/VCs & business teams to align tech strategy with fundraising & global expansion efforts. To excel in this role, you should bring to the table a minimum of 7 years of experience in AI, Cloud, SaaS, or IoT product scaling, deep expertise in Azure technologies such as Deep Azure IoT hub, AI, Event Hubs, CosmosDB, and Serverless Functions, hands-on experience in AI model deployment using tools like ML Ops, TensorFlow, PyTorch, and AutoML, as well as prior experience in scaling AI/SaaS startups globally, particularly in the Middle East, SEA, and US markets. Leadership experience in AI-AgTech or AI Venture would be advantageous, along with a strong ability to mentor remote, distributed engineering teams. Experience in AgriTech, IoT, or Smart Automation Platforms, as well as an understanding of regulatory, security, and compliance requirements for AI-based cloud systems, would be considered a plus for this role. If you are ready to take on this exciting opportunity and contribute to the advancement of AI-driven agriculture, we encourage you to apply by sending your resume to Careers@INNOFarms.ai.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

We are looking for a skilled and enthusiastic Software Tools Development Engineer to become a part of our team. Your primary responsibility will be to create, enhance, and maintain tools that facilitate the design and development of embedded systems operating on Linux or RTOS. Collaborating closely with firmware and software teams, you will play a crucial role in boosting productivity and ensuring the top-notch performance and dependability of our products. As a Software Tools Development Engineer, your tasks will include designing, coding, and managing software tools tailored for embedded design engineers to conduct incremental unit testing of their projects. The range of tools you will work on encompasses interface test tools, API spec validation tools, and communication protocol test tools, among others. You will collaborate with different engineering units to seamlessly integrate these tools into existing workflows and systems, focusing on optimizing performance, usability, and reliability. Thorough documentation creation for tools, covering user guides, technical specifications, and maintenance instructions, will be part of your routine. Additionally, you will provide technical support and training on tool utilization to various engineering teams. The ideal candidate should possess at least 5 years of experience in software development, with a specialization in tool development. Proficiency in programming languages like Python, C#, Java is a must, along with familiarity in embedded device black box testing utilizing test tools mimicking Cloud & APP APIs. You should have hands-on experience with software development tools and frameworks, understanding of hardware-software interaction, and proficiency in version control systems and collaborative development workflows. Excellent problem-solving skills, attention to detail, effective communication abilities, and the capacity to work autonomously or as part of a multidisciplinary team are essential. Desirable skills include knowledge of embedded systems, experience with performance analysis and optimization tools, understanding of embedded Linux or RTOS environments, familiarity with embedded systems interface protocols, and experience with IoT platforms and protocols. An understanding of Smart Home Security or HVAC domain/products is preferred, along with knowledge of network protocols and communication standards and experience with edge computing and related technologies. In return, we offer a competitive salary, comprehensive benefits package, engaging projects with a dedicated team, opportunities for professional growth and career advancement, and a flexible work environment that values work-life balance. Join us at Resideo, a leading global provider of critical comfort and security solutions in residential settings, with a rich legacy spanning over 130 years. With a presence in over 150 million homes and a commitment to innovation, we continue to serve millions of professionals worldwide through our extensive distribution network. Be a part of a $5.0 billion company with a global workforce of around 13,000 employees. Explore more about Resideo at www.resideo.com.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

We are looking for a skilled Computer Vision Engineer with a strong background in microservice deployment architecture to join our team. In this role, you will be tasked with creating and implementing computer vision models to analyze retail surveillance footage for various purposes such as theft identification, employee productivity monitoring, and store traffic analysis. Your primary responsibilities will include developing computer vision models by building, training, and optimizing deep learning models for tasks like theft detection, employee efficiency tracking, and store busy hours analysis. Additionally, you will be involved in designing and deploying scalable microservice-based solutions on cloud platforms to deliver real-time and post-event analytics for enhancing retail operations. Key responsibilities also involve developing data processing pipelines for real-time and batch video data streams, integrating computer vision services with existing retail systems, optimizing model performance, and ensuring compliance with security and privacy standards. The ideal candidate will have at least 3 years of experience in computer vision, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms and real-time video analytics is required. Proficiency in programming languages such as Python, C++, or Java, as well as expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, is essential. Preferred qualifications include experience with edge device deployment, understanding of retail operations, and knowledge of data privacy regulations. Strong analytical, problem-solving, and communication skills are also desired. We offer a competitive salary, stock options, and health insurance. If you are enthusiastic about developing cutting-edge computer vision solutions and deploying them to revolutionize retail operations, we encourage you to apply now.,

As a Software Architect at our company, you will play a crucial role in leading the design and development of scalable, modular, and high-performance software architecture for our robotics systems. Your primary responsibility will be to ensure that our software architecture can adapt to the evolving needs of the organization, while maintaining a balance between long-term vision and short-term goals. You will drive technical excellence in the development of robotic software by collaborating with engineering teams, evaluating and selecting appropriate technologies, and designing systems that can handle complex real-time constraints with low latency and high reliability. Your key responsibilities will include leading the design and development of software architecture for robotic systems, collaborating with engineering teams to define and enforce software architecture principles and best practices, evaluating and selecting technologies for system scalability and performance, and designing software systems that support complex real-time operations. You will also be responsible for ensuring the architecture supports system expansion and easy integration of new features, defining clear interfaces between software components, leading the transition to more modular systems, and working closely with cross-functional teams to meet the needs of various stakeholders. To be successful in this role, you must have a Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field, along with at least 7 years of experience in software development, with a focus on architecture and system design for robotics or embedded systems. You should have proven experience in designing scalable, high-performance software architectures, expertise in software architecture principles and design patterns, proficiency in programming languages such as C++ and Python, and experience with real-time operating systems and performance optimization for embedded platforms. Additionally, familiarity with middleware systems like ROS/ROS2, multi-threaded programming, distributed systems, and software testing practices will be essential. Preferred qualifications for this role include a Master's degree in Robotics or Computer Science, experience designing architectures for autonomous systems or multi-robot systems, familiarity with cloud-based solutions and edge computing for robotics, experience with microservices or service-oriented architecture, knowledge of machine learning and AI integration within robotic systems, and experience with testing on edge devices using simulation tools like Isaac Sim, Gazebo, or V-REP. In summary, as a Software Architect, you will be instrumental in shaping the software architecture of our robotics systems, driving technical excellence, and ensuring the scalability, performance, and maintainability of our software. Your expertise in software design, system architecture, and collaboration with cross-functional teams will be crucial in meeting the evolving needs of our robotics platform.,

It is exciting to be a part of a company where individuals truly BELIEVE in the mission at hand! The commitment is to infuse passion and customer-centricity into every aspect of the business. Fractal, a key player in the Artificial Intelligence domain, is dedicated to empowering human decisions within enterprises by merging AI, engineering, and design to support Fortune 500 companies globally. With over 3,000 employees spread across 16 international locations, including the United States, UK, Ukraine, India, Singapore, and Australia, Fractal has consistently been recognized for its excellence. Notable achievements include being rated as one of India's best companies to work for by The Great Place to Work Institute, acknowledged as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020, and Specialized Insights Service Providers Wave 2020 by Forrester Research, and identified as an "Honorable Vendor" in Gartner's 2021 Magic Quadrant for data & analytics. The team at Fractal is currently in search of an innovative and motivated Solutions Architect to join the expanding Edge & IoT team. In this role, you will collaborate closely with clients and internal engineering teams to conceptualize and implement efficient edge computing and IoT solutions. Leveraging our expertise in AI/ML and strategic partnerships with industry leaders like Microsoft, Intel, and Nvidia, you will showcase a high level of technical proficiency, comprehend client needs effectively, and deliver cutting-edge, top-quality solutions. To excel in this position, having a robust technical foundation in AI/ML and Edge Computing is essential, along with exceptional communication skills, the ability to think critically and creatively, and the capacity to adapt swiftly to new challenges. A successful Edge AI Solutions Architect will possess a deep understanding of both technological and business requirements, translating complex concepts into user-friendly solutions that drive client success and satisfaction. If you are prepared to contribute to a dynamic and progressive organization, we invite you to apply for this role. Key Responsibilities: - Collaborate with clients to collect requirements, grasp business objectives, and translate them into technical specifications for the engineering team. - Design innovative Edge & IoT solutions, integrating AI/ML components and utilizing cloud platforms like Azure, AWS, and GCP. - Contribute to and lead the development of Edge & IoT accelerators and PoVs. - Design, select, and deploy various IoT hardware components, considering factors such as power consumption, connectivity, interoperability, and environmental constraints. - Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements. - Work with engineering teams to ensure proper implementation of designed solutions and offer technical guidance throughout the project lifecycle. - Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team. - Serve as a subject matter expert in Edge & IoT technologies, staying updated on industry trends, emerging technologies, and best practices. - Support the account team in the pre-sales process by providing technical assistance and insights into solution proposals. - Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions. Technical Skills Required: - Proficiency in IoT protocols like MQTT, CoAP, and AMQP. - Knowledge of edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core. - Understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios. - Experience with IoT devices, sensors, and connectivity solutions, along with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT. - Proficiency in programming languages such as Python, C#, C/C++, or JavaScript. - Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S). - Strong understanding of networking concepts, protocols, and technologies, as well as experience in designing secure, reliable, and scalable network architectures for IoT and edge computing solutions. - Knowledge of various hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and the ability to choose the appropriate platform based on specific requirements and constraints. - Expertise in packaging and deploying AI and ML models on edge devices using common AI frameworks like TensorFlow, PyTorch, or ONNX Runtime, and optimizing these models for efficient execution at the edge. - Design experience in IoT and edge computing solutions focusing on physical security, device management, thermal management, and enclosure design. - Ability to assess compatibility, interoperability, and performance of hardware components and integrate them into a structured solution architecture. - Understanding of industry standards, regulations, and best practices related to IoT hardware selection, deployment, and security. Qualifications: - Bachelor's or master's degree in computer science, Engineering, or related field. - Minimum 10-12 years of experience in designing and implementing IoT and edge computing solutions, with at least 4-5 years specializing in Edge AI and/or AI/ML integration. - Strong communication and presentation skills. - Excellent problem-solving abilities and attention to detail. - Capacity to work independently or as part of a team. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic, high-achieving colleagues, you will find fulfillment in your career at Fractal!,

At Peak Medical, our mission is to make rehabilitation smarter, more accessible, and deeply human. We are building BIBO, a clinically validated, AI-powered platform that helps people recover from surgery and manage pain safely at home, mirroring the care of a physiotherapist. It is the first product to go through a high regulatory class to be able to instruct patients at home, with live, clinical advice. This is a significant advancement in Healthcare access. We are a small, smart, agile team located across Australia and India, dedicated to building the next generation of digital musculoskeletal care. Our focus is on providing real-time insights and motion analysis that lead to recovery, reducing the reliance on clinic visits. Our pilot partners and end customers span across Australia and India. We are currently seeking a Senior Computer Vision Engineer with a minimum commitment of 4 years to join our team. As a key member, you will be responsible for leading the development and refinement of our AI motion tracking pipeline, with specific expertise in pose estimation and mobile deployment. This role offers the opportunity to work closely with our product and clinical teams and be part of a passionate and focused team. Key Responsibilities: - Architect and develop real-time pose estimation solutions using tools like MediaPipe and BlazePose. - Build, test, and refine computer vision models integrated into mobile workflows. - Work across platforms such as Flutter, MediaPipe, TFLite, and Python-based toolkits. - Optimize models for low-latency inference on mobile devices. - Lead and implement product architecture. - Conduct research and development on motion accuracy, error handling, and safety thresholds. - Collaborate with cross-functional teams across different time zones (Australia/India). - Contribute to product strategy and user-centric design for at-home care. - Perform model optimization (quantization, pruning) for real-time performance on mobile. Requirements: - 6+ years of experience in AI/ML with a focus on Computer Vision. - Experience in Healthcare, Fitness, Physiotherapy, Medical, or Movement Industries. - Proven ability to build, deploy, and iterate CV models in production environments. - Expertise in MediaPipe, TFLite, EDGE computing, real-time model inference, and pose estimation models. - A builders mindset with a passion for leading CV development in a mission-driven startup. - Experience working with mobile-first health tech or real-time movement data is a plus. - Proficiency in Flutter/Dart, Kotlin, Swift, TensorFlow, and Python. - Comfortable working both independently and collaboratively in a small team. - Experience fine-tuning pre-trained models and deploying them in production apps. - Ability to devise a data set training strategy to enhance model performance. - Experience with AI-powered data analytics and visualization. This position offers great remuneration and ESOP. Join us on this journey where your vision can drive the movement that disrupts Healthcare. Apply now to be part of our team at Peak Medical.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

This role involves the development and application of engineering practice and knowledge in the following technologies: Standards and protocols, application software and embedded software for wireless and satellite networks, fixed networks and enterprise networks; connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps); and Telco Cloud, Automation and Edge Compute platforms. This role also involves the integration of network systems and their operations, related to the above technologies. Focus on Connectivity and Network Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.,

You should have over 10 years of work experience in Industrial automation/Digital transformation, along with at least 5 years of experience in the architecture, design, and development of enterprise and industrial applications. Your responsibilities will include designing and developing software applications, particularly focusing on IIOT related system and device protocols. You should have knowledge of Edge, gateway/cloud applications and experience in developing high volume subscriber base software applications. Proficiency in application development using Java, C, and embedded systems is required. Experience in Agile processes and execution is also essential. Additionally, you should have experience in designing and prototyping electronic systems interfaces/IOT devices and knowledge in Autodesk tools for PCB layout design. Customer interaction and requirement gathering will be part of your role, so excellent communication skills and influential capabilities are necessary. You must be capable of delivering high-quality systems consistently. It would be beneficial to have knowledge of business support systems and device management. Qualifications: - Bachelors Degree in Computer Science /Electrical Engineering or similar. If you are interested in this position, please contact our human resources department at hr@i2t2.com.,

As a seasoned Architect with over 12 years of experience in full-stack software development and architecture, you will play a pivotal role in defining and designing architectural blueprints and technology strategies across Web, Cloud, and Mobile applications. Your expertise in architecting web-based applications using technologies like Angular, React, Node.js, and REST/GraphQL will be instrumental in providing architectural leadership and hands-on guidance to development teams throughout the software development lifecycle. Your responsibilities will include evaluating and selecting appropriate AWS services to build cost-effective, scalable, and secure cloud-native applications. You will lead the integration of IoT platforms and services, such as AWS IoT Core and MQTT, while collaborating with cross-functional teams to translate requirements into scalable solutions. Setting coding and design standards, performing design/code reviews, and driving modernization efforts towards microservices architecture, serverless computing, and CI/CD automation will be key aspects of your role. Additionally, you will ensure that non-functional requirements related to performance, security, scalability, and maintainability are met in all architectural designs. Your expertise in designing secure architectures with Identity & Access Management, encryption, and secure data handling will be crucial in maintaining the integrity of the systems you help build. Mentoring and guiding senior engineers and developers in adopting modern engineering practices and design patterns will also be part of your responsibilities. To excel in this role, you should possess a Master's in Computer Applications or a Bachelor's in Computer Science/Information Technology/Electronics and Communication, along with a strong background in architecting web-based applications and designing cloud-native solutions using AWS services. Proficiency in mobile application architecture and experience with containerization tools (Docker, ECS/EKS) and infrastructure as code (CloudFormation, Terraform) are essential qualifications. Moreover, a solid understanding of DevOps principles and CI/CD pipelines will be beneficial in driving continuous improvement and automation efforts. While not mandatory, exposure to IoT platforms and protocols, experience in edge computing, embedded systems integration, familiarity with real-time data streaming, and hands-on experience with AI/ML deployment on AWS are considered nice-to-have skills. AWS certifications, particularly the AWS Certified Solutions Architect Professional, would also be a valuable asset in this role.,

We are looking for an exceptional leader to oversee our service ecosystem with vision and precision as the Head of IT Service Excellence and Orchestration for Global Cloud and Hosting services. In this role, you will be responsible for managing a comprehensive portfolio of global managed services, ranging from traditional data centers to cutting-edge cloud platforms and emerging edge computing solutions. Your focus will be on balancing technical excellence with business acumen to ensure that our services deliver maximum value while upholding the highest standards of reliability, security, and performance. This position is at the intersection of technology strategy and operational excellence, requiring the ability to navigate complex multi-vendor relationships, drive innovation in hybrid environments, and inspire teams to deliver exceptional service experiences. You will collaborate with senior stakeholders across Siemens to understand business requirements and translate them into effective IT service strategies that drive our organization's success. **What we offer you:** - An attractive remuneration package - Access to Siemens share plans - 30 days of paid vacation and flexible work schedules - 2 to 3 days of mobile working per week as a global standard - Flexible training opportunities for professional and personal development - A work environment that values your individuality and fosters a sense of belonging at Siemens In this role, you will: - Develop and execute multi-sourcing strategies across hybrid environments - Integrate cutting-edge hyperscaler solutions - Elevate operational excellence across our service ecosystem - Lead and evolve a global multi-team department focused on service excellence - Ensure seamless integration of in-house and partner-delivered services - Drive continuous improvement in service quality, operational efficiency, and customer experience - Partner with senior leadership to align technical execution with strategic business goals - Build high-performing teams with a culture of ownership, innovation, and excellence **Qualifications:** - Masters degree or equivalent experience in Computer Science, Information Technology, or related field - Proven leadership experience managing diverse teams in complex IT service environments - 10 years of leadership experience in high-tech or engineering companies - Deep expertise in hybrid IT service management, including data centers, cloud, and edge computing - Strategic mindset with the ability to align technology roadmaps with business objectives - Successful track record implementing multi-cloud strategies and hyperscaler integrations - Experience managing in-house and partner service delivery models - Strong understanding of operational excellence frameworks and continuous service improvement - Exceptional stakeholder management and communication skills - Experience with agile methodologies and fostering innovation-driven cultures - Resilient, hands-on leadership approach in dynamic environments - Fluent English communication skills; additional languages beneficial We believe in the potential of every candidate and welcome applications from individuals with disabilities. At Siemens, we value diversity and support your personal and professional development. Join us in shaping the future of Siemens" Digital Infrastructure and creating a better future together. To learn more about job opportunities at Siemens, visit www.siemens.de/careers. If you have any questions about the application process, please refer to our FAQ section.,

You will be responsible for defining and executing the sales vision, strategy, and Go-To-Market plans for Data Center Solutions, Managed Services, and IT Infrastructure. This includes colocation, cloud, security services, and more. As a strategic leader, you will own the P&L, revenue targets, and market expansion across enterprise, mid-market, and emerging verticals. Your role will involve building, mentoring, and scaling high-performance sales teams using hunter-farmer models. You will optimize sales processes, KPIs, and enablement frameworks to drive accountability within the teams. Cultivating C-level relationships with enterprise clients and hyperscalers, such as CIOs and CISOs, will be crucial. Additionally, forging alliances with OEMs, hyperscalers, and channel partners to expand market reach is a key aspect of the role. Collaboration with Product, Pre-Sales, and Delivery teams is essential to ensure a solution-market fit. You will leverage market trends like edge computing, hybrid cloud, and AI infrastructure for revenue growth. Your track record in leading sales portfolios in Data Center/Cloud/Managed Services, along with a deep understanding of procurement cycles, RFPs, and deal structuring, will be highly valued. Certifications in data center standards (e.g., CDCP, CDCMP) or cloud architecture (AWS/Azure/GCP) are preferred. Strong analytical skills for forecasting, pipeline management, and pricing strategies are desired. Experience at firms like Yotta, Nxtra, Sify, Cloud4C, or global infrastructure providers will be advantageous in this role.,

As a Software Architect for IoT and Digitalization at Siemens in Goa, India, you will be part of a passionate team of solution innovators, UX devotees, techies, data scientists/AI experts, software lovers, AR/VR experts, visual artists, and architects, working in a lean startup concept. Together, we aim to solve complex problems across various domains such as industry, energy, mobility, and buildings to smart cities by leveraging data analytics, artificial intelligence, simulations, and interactive visualization. Your role will involve architecting end-to-end solutions for digitalization initiatives in IoT. You will be responsible for designing scalable, secure, and maintainable systems, enforcing architectural standards and best practices, leading system design discussions, and translating business requirements into technical specifications. Collaboration with cross-functional teams to ensure seamless integration of frontend and backend components, guiding teams in implementing performance-optimized solutions, and evaluating and recommending appropriate technologies will be key aspects of your responsibilities. To qualify for this role, you should hold a Masters or Bachelor's degree in Computer Science or a related discipline from a reputed institute, along with 12+ years of experience in software development, including at least 3 years in architectural/lead roles. Strong expertise in software architecture, system design, design patterns, and technologies such as Java Spring Boot, Python, Node.js, Angular, React, SQL, NoSQL databases, and microservices architecture is essential. Additionally, experience in cloud-native development, testing strategies, automation frameworks, security architecture, and DevOps culture will be beneficial. Your problem-solving, communication, leadership, and stakeholder management skills will play a crucial role in driving the technical roadmap, collaborating with globally distributed teams, and contributing to the resolution of field issues. If you are looking for an opportunity to work on cutting-edge technologies in a dynamic environment that values diversity and innovation, Siemens is the place for you. Join us in shaping the future and making a positive impact on the world.,

As an Automation Engineer specializing in IoT and Vision Systems, you will play a crucial role in designing and implementing advanced automation solutions for our manufacturing processes. Your responsibilities will include developing complete IoT solutions, designing high-speed monitoring systems using vision systems, and optimizing firmware for microcontrollers, sensors, and gateways. You will also be involved in writing backend services for data acquisition and implementing protocols like MQTT, WebSockets, and REST APIs. Moreover, you will program and integrate robotic systems for advanced automation and continuously seek innovative solutions to improve our manufacturing processes. To excel in this role, you should have at least 3 years of experience in image processing and vision system integration, along with a proven track record in developing end-to-end IoT solutions. Strong coding skills in Python, C/C++, or PLC programming are essential, as well as hands-on experience with PCB prototyping, edge computing, and sensor integration. A background in robotics programming, vision-guided systems, and collaborative robots will be beneficial. Your problem-solving abilities, creativity in automation, and excellent analytical and communication skills will be key to your success in this position. In summary, this role requires expertise in designing image processing-based monitoring systems, developing sensor networks for manufacturing, strong programming skills, a passion for robotics, and a creative approach to solving complex manufacturing challenges. If you are looking to work on cutting-edge technologies in a dynamic and innovative environment, this position is ideal for you.,

This role involves the development and application of engineering practice and knowledge in various technologies related to Standards and protocols, application software, and embedded software for wireless and satellite networks, fixed networks, and enterprise networks. Additionally, it includes working with connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps), and Telco Cloud, Automation, and Edge Compute platforms. The responsibilities also encompass the integration of network systems and their operations in conjunction with the mentioned technologies. Focus on Connectivity and Network Engineering is a key aspect of this role. The individual is expected to develop competency in their area of expertise and share their knowledge with others by providing guidance and support. Understanding and interpreting clients" needs is crucial. The role involves working independently or with minimal supervision, identifying problems and relevant issues in straightforward situations, and generating appropriate solutions. Active participation in teamwork and customer interactions are essential components of this position.,

Candidates are required to possess a Ph.D. in Electronics Engineering or a related field from a reputable institution, along with a strong research background. The specific sub-areas of interest currently include Circuits/Electronics (such as VLSI Technology, Analog circuits, Mixed mode ICs, Semiconductor Devices), Embedded Systems (covering Edge Computing, Real Time Operating Systems, Side Channel Analysis and Hardware Security), and Robotics (encompassing Autonomous Systems, Human-robot Interaction, Perception-based Controls and Robotics, Drones, Multi-agent Systems, Intelligent Control Systems). Minimum eligibility criteria for candidates in all disciplines except design area are as follows: (i) Must hold a Ph.D. with a first-class or equivalent in the preceding degree, accompanied by an outstanding academic record consistently maintained. (ii) Should possess a robust research record with publications in esteemed journals and conferences. The position available is for an Assistant Professor, requiring a Ph.D. holder with strong research capabilities and a keen interest in teaching at both undergraduate and postgraduate levels. Prior postdoctoral experience is preferred. Interested individuals should submit an application via email to dean_faculty@daiict.ac.in with the subject line as "Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". The application should include the following attachments: 1. Curriculum Vitae (CV) detailing educational qualifications from the 12th standard board exams (including marks/CGPA, year of passing, any specialization), work experience, and publications. References for letters of recommendation should also be provided. 2. A research statement outlining research background, outcomes, and future research plans. 3. A teaching statement describing teaching methodology, experience, preferred foundation/core courses, and elective courses the candidate is interested in teaching. Faculty members will be responsible for conducting independent research within their field of expertise and delivering lectures for undergraduate and postgraduate courses. Candidates with interdisciplinary knowledge are strongly encouraged to apply as they will contribute significantly to the Institute's mission through teaching, research, and participation in institutional activities. Prospective applicants are advised to visit the Institute's website for detailed information on courses and research groups, specifically the Faculty page, to gain insight into the faculty profile.,

As a Platform Software Engineer, you will collaborate with a team of skilled software developers to enhance and advance our kitchen automation system and cloud-connected infrastructure supporting Flippy. Your responsibilities will involve hardcore coding, debugging, testing, and troubleshooting at various stages of the development cycle. Leveraging your expertise in software engineering, you will be tasked with owning the design, prototyping, and commercialization of core software components. Additionally, you will closely engage with robotics specialists specializing in controls, machine learning, and computer vision. Your work experience should span over 4 years, and you should be prepared to work from 3.30 PM to 12.30 AM in the US shift. In your role, you will be expected to: - Code, debug, test, and troubleshoot software iteratively during the development process. - Develop sophisticated state machines to efficiently manage and optimize diverse cooking workflows. - Engineer user-friendly procedures for robotic system installations, ensuring a seamless user experience. - Design and implement robust monitoring solutions to track and maintain the health of robotic systems across various environments. - Utilize your engineering judgment to enhance code through iterative refactoring, improving software generality and quality. - Familiarize yourself with existing architecture and practices by reading code and documentation. - Adhere to and contribute to the enhancement of the software development lifecycle (SDLC) processes. - Take ownership of software development, maintenance, improvement, testing, and release processes. - Create unit tests and system-level tests to validate code functionality. - Develop architectural diagrams illustrating the flow of data within the system. The ideal candidate will possess: - A BS or higher degree in Computer Science or a related field, along with a minimum of 4 years of relevant industry experience. - Proficiency in system software, network stacks, state machines, and SQL databases for robotic systems. - Expertise in Python programming and familiarity with C++. - Proficiency in developing applications within the Robot Operating System (ROS). - Experience working in development environments comprising Linux, Docker, and Git. - Self-motivation, responsibility, and excellent written and verbal communication skills. - Ability to effectively collaborate as a remote team member. - Strong attention to detail, analytical skills, and a quick learning ability. - A collaborative team player with a proactive approach and a sense of ownership. Preferred qualifications include experience with cloud and edge computing, as well as developing platforms serving multiple robotic products.,

As a technology company founded in 2015, Netradyne specializes in leveraging expertise in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. Our technology is utilized in a wide range of vehicles, from passenger cars to semi-trailers, operating on various types of roads. Netradyne is currently seeking skilled engineers to join our Analytics team, which includes graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, and UCSD. As part of this team, you will be involved in developing cutting-edge AI solutions that enable drivers and fleets to identify unsafe driving scenarios in real-time, thereby preventing accidents and minimizing fatalities and injuries. In this role, your responsibilities will include designing, implementing, and commercializing driver monitoring and driver assistance algorithms. You will have the opportunity to work with extensive datasets and deploy new algorithms/models across thousands of vehicles. As a machine learning software engineer, you may be tasked with developing algorithms to characterize driving behavior, tracking key metrics, architecting data-driven solutions, enhancing machine learning infrastructure, and creating proof of concept solutions that demonstrate novel capabilities. To be successful in this position, you should possess a B Tech, M. Tech, or PhD in computer science, electrical engineering, or a related field. Strong programming skills in Python (required) and C++ (desired) are essential, along with 10+ years of research or industry experience in computer vision and machine learning. You should also demonstrate the ability to translate abstract product concepts into tangible solutions, innovate on challenging problems, and have hands-on experience with edge deployments targeting various hardware platforms. Desired skills for this role include expertise in handling image, video, and time-series data, proficiency in camera calibration, multi-view geometry, 3D reconstruction, and SLAM, as well as experience with state-of-the-art multi-camera BEV and Occupancy prediction algorithms. Additionally, familiarity with road scene understanding, machine learning application in real-world scenarios, and successful statistical experiment conduction would be advantageous.,

This role involves developing customer-specific architecture and designing end-to-end solutions to meet customer needs. You will be required to coordinate cross-functional teams, capture and manage requirements, and ensure the integrity of the solution over time. Your responsibilities will also include contributing to strategic decisions, solving complex problems, and leading teams or projects. As a professional leader, you will ensure effective collaboration across organizations to deliver workable solutions and provide expert guidance within the organization. Design and develop customer-specific end-to-end solutions, applying high- and low-level architecture practices to meet business and technical needs. You will capture and manage functional and non-functional requirements using industry standards and best practices. Coordinate cross-business group (BG) activities to ensure cohesive solution development during early project phases. Translate stakeholder inputs into well-defined, actionable technical requirements and architecture. Apply architecture principles and standards to ensure solution consistency, scalability, and long-term maintainability. Collaborate across functions and teams to define, validate, and deliver complete solution scope. Contribute to strategic decision-making and influence the technical direction of the organization. Solve complex problems using advanced analytical methods and in-depth domain expertise. Lead functional teams or task forces, providing technical guidance and best practices as a recognized expert within the organization. You should have strong experience in customer-specific solution architecture and end-to-end design. Expertise in requirement gathering, functional analysis, and system design methodologies is essential. Ability to coordinate and align multiple business groups towards a unified solution is crucial. Advanced understanding of architectural standards, frameworks, and governance is required. Excellent analytical and problem-solving capabilities in complex technical domains are a must. Proven leadership experience in guiding project teams or technical task forces is highly desirable. It would be beneficial if you also had familiarity with current trends in cloud, edge computing, and telecom architecture. Knowledge of tools and methodologies for enterprise architecture modeling (e.g., TOGAF, ArchiMate) would be an added advantage. Nokia is committed to innovation and technology leadership across mobile, fixed, and cloud networks. Your career at Nokia will have a positive impact on people's lives and help build the capabilities needed for a more productive, sustainable, and inclusive world. Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs, and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer. Join Nokia's Network Infrastructure group, which is at the heart of a revolution to bring more and faster network capacity to people worldwide through ambition, innovation, and technical expertise.,

As a Platform Software Engineer, you will collaborate with a team of skilled software developers to enhance and refine our kitchen automation system and cloud-connected infrastructure that powers Flippy. Your responsibilities will include hardcore coding, debugging, testing, and troubleshooting at various stages of the development process. Leveraging your expertise in software engineering, you will lead the design, prototyping, and commercialization of core software. Additionally, you will closely cooperate with robotics specialists in controls, machine learning, and computer vision to ensure seamless integration. Requirements: - Bachelor's degree or higher in Computer Science (or related field) with over 4 years of industry experience - Proficiency in system software, network stacks, state machines, and SQL databases for robotic systems - Strong Python programming skills and familiarity with C++ - Experience in developing applications using the Robot Operating System (ROS) - Familiarity with Linux, Docker, and Git development environments - Self-motivated, responsible, with excellent written and verbal communication skills - Capable of collaborating effectively as a remote team member - Detail-oriented with strong analytical skills and a quick learning ability - A team player with a proactive approach towards taking ownership and initiative Preferred Qualifications: - Background in cloud and edge computing - Experience in developing platforms that cater to multiple robotic products Shift Timing: - 3.30 PM to 12.30 AM (US shift) Job Specification: - Code, debug, test, and troubleshoot software throughout the development lifecycle - Develop sophisticated state machines to efficiently manage cooking workflows - Engineer user-friendly procedures for robotic system installations - Design robust monitoring solutions for continuous system health tracking - Iterate on code and refactoring to enhance software generality and quality - Understand existing architecture and practices through code and documentation analysis - Adhere to and contribute to improving software development lifecycle processes - Take ownership of software development, maintenance, testing, and release - Create unit tests and system-level tests for code verification - Develop architectural diagrams illustrating data flow within the system In this role, you will play a critical part in the advancement of our cutting-edge technology, contributing to the success of our innovative products and solutions.,

The Staff Engineer SDET at Open Blue Edge group will play a crucial role in ensuring the quality of the product within the digital transformation initiative. This role will involve a focus on Automation, both API and UI, to optimize the product's quality. You will be expected to have excellent communication skills in English, both written and verbal, to effectively convey complex technical concepts. In addition, you will drive test plan reviews, correct coding standards, and provide fixes for reported problems in test scripts and change requests. Participating in technical discussions, proposing solutions, and interacting with Architects and senior team members will be essential to ensure that solutions align with the overall architecture. You will also be responsible for developing proof-of-concept prototypes, providing work estimates, and assisting developers and support personnel in identifying system problems. The ideal candidate should possess a can-do attitude, take initiative to start and complete assigned activities, and have between 6-10 years of experience in protocols like BACnet, Modbus, and OPCUA. Experience in configuring and validating protocols such as Modbus and BACnet is a must, along with the ability to work effectively in an individual contributor role and potentially as a hands-on technical lead when required. Experience with globally distributed teams is also preferred. This position is located in Bangalore. Qualifications: - MCA, B.Tech., or M.Tech. in Computer Science, Electrical, or Electronics. Awards and Recognitions: - Great Place to Work-Certified, Oct 2023 - Oct 2024 - Honored with a NASSCOM Enterprise Cloud Adoption Award for commitment to leveraging cloud technology for sustainability.,