1889 Image Processing Jobs - Page 22

You will be part of a team at Left Right Mind focusing on C++/MFC technologies for one of our clients in the electronics industry. Your role will involve participating in full software life-cycle development including UI design, development, testing, and deployment. To be successful in this position, you should have 5+ years of experience in C++, MFC, and/or C#, with expertise in OOAD and design of large scale applications. Experience in multi-threaded and distributed applications across operating systems is essential. You should have proven experience in debugging large complex software and working on production quality applications. Key Responsibilities: - Design and implement documented requirements - Support bug fixing and enhance unit testing of existing applications - Meet deadlines within the constraints of the current system - Train and mentor team members in analyzing, debugging, and performance tuning - Contribute individually to product solution development - Provide innovative solutions to technical challenges - Collaborate with teams across different geographical zones for software solutions development and delivery Qualifications: - 5+ years of experience in C++, MFC, and/or C#, OOAD - Experience in multi-threaded and distributed applications - Proven experience in debugging large complex software - Strong communication and teamwork skills - BE/BTech/MS/MCA/MTech (CS/Electronics) or equivalent degree Nice to Have: - High Performance Computing - Image Processing - Real Time Systems - Semiconductor or Medical Devices company software experience If you are a software engineer with a passion for developing industry-leading applications and features, we encourage you to apply for this exciting opportunity.,

Samsung is a world leader in Memory, LCD and System LSI technologies and is currently seeking exceptional software and hardware talent to join the Samsung Indian Design Centre and the Advanced Computing Lab (ACL) in San Jose, CA. The Samsung Austin Research Center (SARC) in Austin, TX was established in 2010 as one of Samsung's strategic investments in high-performance low-power ARM-based device technology. The GPU design teams in Austin (SARC), San Jose (ACL), and India Bangalore are currently developing a GPU for deployment in Samsung mobile products. Additionally, the System IP team is focused on Coherent Interconnect and memory controller architectures. As a GPU Engineer, you will be part of a team responsible for designing and documenting major units in a GPU pipeline for Mobile graphics applications and potentially other related markets. This mid to senior level position involves working as an individual contributor to drive the functional and cycle simulators for the GPU pipeline. Collaboration with cross-functional teams including RTL design, modeling, and software on various sub-blocks of the end solution is essential. **Role and Responsibilities:** - Design and document major units in a GPU pipeline targeted at Mobile graphics and machine learning. - Develop functional and cycle simulators for the GPU pipeline, including collecting statistics for evaluating potential optimizations, prototyping to test functional correctness, and specifying detailed schemes for next-level hardware and/or software implementation. - Collaborate with implementation, modeling, and software teams to define and develop microarchitecture, software implementation, and/or a verification plan. - Investigate alternate approaches for important GPU workloads, incremental optimizations, and rebalancing to maximize performance in future key workloads. - Work with software developers to understand trends in future graphics and AI applications, addressing problems faced by application and middleware developers. - Find and/or implement applications to exercise novel algorithms in drivers/hardware. **Minimum Requirements:** - Experience using parallel programming. - Knowledgeable in GPU or other parallel processing architectures. - Strong knowledge of GPU architecture, primarily on Linux Stack or Kernel Mode Driver. - Knowledge of key mobile GPU graphics workloads and compute application workloads such as computer vision, image processing, AI, and Image compression. - Knowledge of game applications, game rendering engines, academic papers on advanced rendering techniques desirable. - Expertise in implementing advanced graphics rendering techniques, machine-learning (AI) approaches. - Proven ability to debug complex issues in multi-threaded environments. - Understanding of Operating System fundamentals and concepts. - Familiarity with offline and JIT compiler designs. - Background in Linux and Android development. - Strong C, C++, and Python programming experience or industrial experience in systems programming (driver development a strong plus). - Strong algorithmic background and outstanding problem-solving skills. - System-level performance analysis and strong OS fundamentals (memory management, multithreading/synchronization, user/kernel mode interaction). - Excellent C and C++ programming skills (assembly a plus). - Understanding of rasterization pipeline and modern GPU architectures. - Excellent communication and teamwork skills. - Ability to own a problem and drive it to completion. **Preferred Qualifications:** - Experience working with ARM 64-bit architecture. - Experience developing system software for Android OS. - Knowledge of high-level shading languages, e.g., GLSL/HLSL. - Understanding of modern real-time rendering game engines.,

As a Computer Vision Engineer at wTVision in Noida, India, you will be an integral part of our development team, focusing on designing and implementing cutting-edge computer vision algorithms and systems. Your role will involve optimizing machine learning algorithms, conducting spatial and temporal analysis of object movements, developing real-time processing algorithms for Vision-AI perception metadata, and collaborating with the product team to define new features and functionalities. Your responsibilities will include analyzing and enhancing the end-to-end accuracy of the computer vision pipeline, staying abreast of emerging technologies, working on scalable software solutions with the software development team, and deploying models on edge devices like NVIDIA Jetson. You will be expected to have a strong academic background in Computer Science or related fields, proficiency in programming languages such as Python and C++, experience in image and video processing, and excellent communication and collaboration skills. Ideal candidates should have hands-on expertise with PyTorch, TensorRT, CuDNN, and Deep Learning frameworks like TensorFlow and Keras. A solid understanding of object-oriented programming, parallel computing, and concepts like Linear Algebra and 3D Geometry is required. Additionally, experience with NVIDIA Deep Stream, Jetson, and CUDA programming, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization technologies, and contributions to the computer vision community are considered advantageous. If you are self-motivated, possess strong problem-solving skills, and can deliver high-quality work while handling multiple tasks, we encourage you to apply. A passion for sports and technology will be a plus in this dynamic and innovative work environment.,

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. With LooprIQ Inspect, customers can easily automate the detection of defects in products, verify assembly of parts, and perform various other tasks. We have developed a state-of-the-art micro-service architecture that utilizes the latest computer vision AI models in the backend to analyze real-time video data. The inference results are stored in a scalable middleware and presented through a user-friendly front-end interface optimized for operators using the app in a factory setting. The data from the app can be seamlessly integrated with the customer's ERP system for deriving valuable analytics. We are currently looking for an experienced and motivated ML Engineer to join our team in a technical lead capacity. In this role, you will be responsible for leading the development and training of computer vision models that power LooprIQ Inspect, effectively addressing complex issues faced by customers in the manufacturing and aerospace industries. Additionally, you will serve as a technical lead, providing guidance and support to other members of the ML team. As a part of our team, you will have the opportunity to: - Design, train, debug, fine-tune, and deploy deep learning models for object detection, image segmentation, and image classification tasks. - Champion dataset management and exploration using cutting-edge data platforms like Encord. - Provide technical guidance and take ownership of deliverables within a close-knit team of ML scientists. - Collaborate with cross-functional teams to understand project requirements and offer technical expertise in computer vision. - Orchestrate complex computer vision pipelines and workflows using our internal Azure & ML Flow services, ensuring reproducibility and scalability of experiments and models. - Integrate computer vision models into production applications using Python libraries and other relevant technologies. - Optimize computer vision models for performance, efficiency, and accuracy across different hardware platforms. - Stay informed about the latest advancements in computer vision and machine learning research to enhance the company's capabilities. Minimum Requirements: - Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or related fields. - 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio. Experience in manufacturing industries is a plus. - 2+ years of proven technical leadership experience. - Proficiency in Python, familiarity with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and Linux/bash proficiency. - Experience in building, deploying, and maintaining production ML systems. - Familiarity with cloud platforms, especially Azure, for deploying and scaling computer vision models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. - Strong problem-solving skills, independence, innovation, and effective communication skills. Joining Loopr AI presents an exciting opportunity to work alongside a dynamic team at the forefront of computer vision technology. You will be involved in cutting-edge projects, collaborate with industry experts, and contribute significantly to solving real-world challenges using computer vision techniques.,

Our Company Changing the world through digital experiences is what Adobes all about We give everyone?from emerging artists to global brands?everything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen, Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards, Adobe is proud to be an Equal Employment Opportunity employer We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law Learn more about our vision here, Adobe aims to make Adobe accessible to any and all users If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe or call (408) 536-3015, Show

Job Description In this role you will be responsible for designing, implementing, and validating functionality for the next generation of our software composed of a cloud-based interface for configuration and monitoring as well as a processing engine for the transformation of PDF files into printable data. In digital printing, our software is used to configure, validate, monitor, and automate the exchange and the processing of PDF files into data that printing machines can use. You will work with a wide range of technologies, communication protocols and programming languages to provide customers with a fully automated digital printing workflow going from customer IT systems to printers. You will be part of a small team using modern tools and methodology to deliver innovative products in a fast-paced environment. Skills Required 3-10 years of experience writing software solutions in C++ / C#. 3+ years of experience in C# and .NET. Experience in Windows Operating System . Excellent in Multi-Threading . Good knowledge of modern software development principles, concepts, and practices, Good communication and interpersonal skills. Experience in cloud technologies (i.e Azure). Knowledge of digital printing technologies. Knowledge of image processing. Knowledge of GPU programming / CUDA. DFE Server development for VDP (Variable Data Printing) and Color processing. Having an algorithmic / scientific mindset (prior experience for example in Image Processing , Algorithm Optimization , etc.) Main responsibilities Design and implement new SW components handling: PDF processingin in a distributed environment, Connectivity with customers systems, our print engine,and our cloud platform, Configuration and monitoring functionality within our cloud platform, Participate to the extension of the automated build and test framework, Perform code reviews and ensure that own developments passe CI daily, Ensure that software quality standards are applied via adequate automated tests, Collaborate with different stakeholders (print specialists, product owner, field technicians, customers, ). Our Software Stack Languages: C#, C/C++20, Angular Frameworks: .NET, Azure, Adobe PPE, WPF CI/CD: Azure Devops with git IDE: Visual Studio Skills and Knowledge: C#, C++, Multi-Threading, windows operating system, DFE (Digital Front End), VDP (Variable Data Printing), Prior experience in Image processing and Algorithm optimization. Apply We Are Looking For Ambitious, Experienced Developers! Glassdoor Have a referral? X

Computer Vision Engineer Location: Jaipur, Indore and Gurgaon Experience: 4+ Position - 1 Role Overview: We re seeking a passionate and driven Computer Vision Engineer to join our AI team in building production-grade vision systems that scale. This role goes beyond traditional image processing it offers the opportunity to work on cutting-edge CV models and multimodal AI with LLMs . If you love clean code, powerful models, and real-world challenges across imagery, restoration, and emerging vision-language technologies, we want to talk to you. What You ll Do Design and implement advanced computer vision algorithms for: Image quality enhancement Blur/glare detection Super-resolution Color normalization Build deep learning models using PyTorch trained on large-scale visual datasets , from prototyping to deployment. Maintain robust vision pipelines with OpenCV , Albumentations , YOLO (Ultralytics) , and Segment Anything (SAM) . Deploy models via Docker/Kubernetes and integrate into cloud-native systems (AWS/GCP). Define, track, and optimize quantitative image quality metrics for automated evaluation and monitoring. Collaborate across product, design, QA, and data teams to translate user needs into engineering solutions. Contribute to exploratory R&D around LLMs , vision-language models , and tool-using agents supported by a strong learning environment. Stay up to date with research in NeRFs , diffusion models , generative vision , and multimodal systems . Minimum Qualifications 4+ years of professional software/ML development experience . 3+ years of hands-on experience building computer vision applications at scale. Strong command of Python , with deep familiarity using PyTorch and OpenCV . Experience developing and training deep learning architectures (CNNs, transformers) for visual tasks. Solid understanding of image processing , data augmentation , and model evaluation metrics . Hands-on experience with Docker , Git , and cloud services ( AWS , GCP , or similar). Interest in learning or contributing to LLM-based systems and multimodal AI pipelines . Preferred Qualifications Experience with models/tools like: YOLOv5/v8 , Detectron2 , SAM , OCR pipelines Familiarity with: CLIP , BLIP , vision-language models LangChain , AutoGen , CrewAI or similar tool-using frameworks Exposure to vector databases like FAISS , Weaviate , or Pinecone Background in generative models (GANs, diffusion), video analytics , or multimodal learning Publications, personal projects, or open-source contributions in CV/AI are a plus

Job_Description":" AI/ML Engineer Key Responsibilities Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis. Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch. Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus. Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery. Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data. Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms. Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems. Monitor and maintain deployed models to ensure consistent performance in clinical environments. Requirements Must-Have Skills Proficient in Deep Learning and Machine Learning techniques. Strong experience with TensorFlow and PyTorch. Solid background in image processing and computer vision, especially with CNN architectures. Proficiency with Docker and experience with CI/CD pipelines. Excellent programming skills in Python and experience with relevant ML libraries. Understanding of data pipelines and handling large-scale medical imaging datasets. Nice to Have Experience deploying ML models on cloud platforms such as AWS and Azure. Experience with Kubernetes or orchestration frameworks. Familiarity with MLOps tools and workflows. Experience with distributed training or federated learning. Contributions to healthcare AI research or open-source projects. Education & Experience Bacheloror Masterdegree in Computer Science, Biomedical Engineering, Data Science, or related field. 1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting. Why Join Us Opportunity to work on transformative AI applications in healthcare and radiology. Collaborative and mission-driven team environment. Access to advanced medical imaging datasets.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience, 10 years of experience with Camera ISP image processing or other multimedia IPs such as Display or Video Codec, 10 years of experience with System Verilog Assertions (SVA), assertion-based verification, and formal verification, 4 years of experience in people management, developing employees, Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, Experience in low-power design verification, Experience working with RTL design and integration teams on methodologies that improve team productivity and velocity, Experience working with software teams to define hardware/software interfacing including control/status registers, security, and error handling, About The Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products You'll contribute to the innovation behind products loved by millions worldwide Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration, Google's mission is to organize the world's information and make it universally accessible and useful Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful We aim to make people's lives better through technology, Responsibilities Lead a team of individuals; set and communicate individual and team priorities that support organizational goals Meet regularly with individuals to discuss performance and development, and provide feedback and coaching, Work cross-functionally to debug failures and verify the functional correctness of the design, Provide test plans, including verification strategy, environment, components, stimulus, checks, and coverage, and ensure documentation is easy to use, Plan the verification of complex Camera ISP hardware IPs at subsystem and full chip level by fully understanding the design specification and interacting with architecture and design engineers to identify important verification scenarios, Create and enhance constrained-random verification environments using System Verilog and UVM, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercards AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercards competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: oConfluence (Documentation) oBitbucket/Stash (Code Sharing) oShared Folders (File Sharing) oALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required

Company Overview Group/Division The ICOS Vision Systems division focuses on the backend of the line semiconductor industry providing fully automated tools to inspect and sort, finished integrated circuit packages. For more than 15 years, ICOS has been a market leader with tray-to-tray and tray-to-tape inspection and sorting tools found in the production facilities of all major chipmakers in the world. Our market-leading technology and superior customer service requires strong talent in optics, machine control, algorithms and applications within our engineering teams. The ICOS division headquarters are in Leuven, Belgium with additional engineering and manufacturing operations in Singapore and Shenzhen (China). Job Description/Preferred Qualifications Extend and maintain software driving wafer and panel metrology products for the semiconductor industry. Tasks Analyze, design and implement new features. Create automated tests. Develop and maintain supporting tooling. Analyze and fix bugs. Provide support to other (non-developer) team members and field engineers. Skills and qualifications 3 to 10 years of experience in SW engineering role. Good knowledge of (modern) C++ and/or C#. Knows how to use a version control system, preferably git. Understands UML models and is able to create them. Handles the full development cycle: requirements gathering, analysis, implementation, testing, installation and support. Knowledge of image processing, automation or robotics is a plus. Good spoken/written English communication skills. Can work independently in a small team. Takes initiative. Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 years

Company Overview Group/Division The ICOS Vision Systems division focuses on the backend of the line semiconductor industry providing fully automated tools to inspect and sort, finished integrated circuit packages. For more than 15 years, ICOS has been a market leader with tray-to-tray and tray-to-tape inspection and sorting tools found in the production facilities of all major chipmakers in the world. Our market-leading technology and superior customer service requires strong talent in optics, machine control, algorithms and applications within our engineering teams. The ICOS division headquarters are in Leuven, Belgium with additional engineering and manufacturing operations in Singapore and Shenzhen (China). Job Description/Preferred Qualifications Extend and maintain software driving wafer and panel metrology products for the semiconductor industry. Tasks Analyze, design and implement new features. Create automated tests. Develop and maintain supporting tooling. Analyze and fix bugs. Provide support to other (non-developer) team members and field engineers. Skills and qualifications 3 to 10 years of experience in SW engineering role. Good knowledge of (modern) C++ and/or knowledge of C#. Python is a plus. Knows how to use a version control system, preferably git. Understands UML models and is able to create them. Handles the full development cycle: requirements gathering, analysis, implementation, testing, installation and support. Knowledge of image processing, automation or robotics is a plus. Good spoken/written English communication skills. Can work independently in a small team. Takes initiative. Minimum Qualifications Masters Level Degree and 0 years related work experience; Bachelors Level Degree and related work experience of 2 years

** DO NOT APPLY ON NAUKRI ** WA CV: 888-464-3032 --- Part-Time Job: 4 hours / day -- (Fixed Time) --- Online Image Checking & Tagging Very Sharp Focus Excellent Computer & Internet Knowledge General Awareness Good English Required Candidate profile Part-Time Job 4 hours / day -- (Fixed Time) Mon-Sat Must have own laptop & Broadband Wi-Fi Good English

Introduction: You will bring your experience in AI/ML, image processing, and data analysis with a focus on vision-based applications, for contribution to transformative technological advancements. At the software and instrumentation group of CITE, we provide a distinguished platform for professionals aspiring to lead innovation in next-generation Vision Systems. You will be part of a dynamic and multidisciplinary team of scientists and engineers engaged in the development of advanced solutions for material characterization, inspection, automation, and intelligent instrumentation. This role offers a unique opportunity to engage in continuous learning while contributing to impactful, cutting-edge research and development initiatives. Key Responsibilities: - Design and develop software solutions using advanced artificial intelligence and classical image processing techniques. - Integration of machine vision setup for vision-based inspection - Development of user-interface using Python/C++/HTML etc. to access the camera interface and to perform offline and online data analysis - Algorithm development using classical image processing and advance AI-based methodologies - preparing dashboard for experimentation data visualization using Excel/Power Bi/any SoTA tool. - Pipeline development for central data connectivity - Experience in application development - Preparing high quality technical document, software architecture document and version control - Optimized, Clear, leaner and efficient coding using Python/LabVIEW/MATLAB/C++ etc., using GPU based architecture - System integration and deployment at customer locations - Support in system configuration and product deployment - Sensor integration, calibration, fusion with central processor Required Skills, Qualifications and Experience: - B.Tech / M.Tech in Electrical/Electronics/Instrumentation/Computer Science Engineering/ any relevant stream from a reputed institution. - 2-5 years of hands-on project experience in AI/ML, image processing, and Python programming. - Strong foundation in image processing and machine vision using python/C++/MATLAB. - Expertise in developing deep learning models for vision-based applications using Torch/TensorFlow. - Familiarity with sensor integration, edge computing, embedded system, data pipeline management in cloud platform, database management, application & user interface development - Experience with hardware-software integration and communication protocols. - Excellent problem-solving skills and attention to detail. - Strong communication and documentation abilities. Highly desirable: experience in paper publication/patent filing/ publishing technical reports in the field of computer vision and real-time data analysis.

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

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.,

A Career at HARMAN Automotive: As a Principal Engineer at HARMAN Automotive, you will have the opportunity to leverage your strong technical and programming skills to develop innovative machine/deep learning solutions specifically focused on image and video data. Working within a diverse team of researchers, you will play a crucial role in driving projects to defined conclusions, with the aim of creating new and improved experiences in automobiles and consumer electronics. Key Responsibilities: - Develop and implement new technologies utilizing machine/deep learning for computer vision applications. - Design systems and algorithms that deliver breakthrough experiences, collaborating with the broader team to build proof-of-concept demonstration systems. - Evaluate existing technologies for market readiness through benchmarking and contribute to the transfer of new technologies to commercialization teams. - Produce reports, white papers, research papers, and patent applications. Qualifications for Success: - Possess a Master's degree in a relevant field such as electronics, computer science, or electrical engineering. - Have a minimum of 8 years of relevant experience in the industry. - Proficient in C++ and Python programming languages. - Strong conceptual understanding of image processing and computer vision. - Demonstrated knowledge of machine/deep learning algorithms and techniques for efficient computer vision applications. - Experience in porting and optimizing complex algorithms from Python to C++. - Familiarity with TensorFlow/Pytorch and relevant data science libraries, along with hardware knowledge. Preferred Qualifications: - Hold a Master's by Research or PhD degree. - Experience in authoring peer-reviewed publications and/or patents. - Understanding of computer architecture and accelerated computing (GPUs/NPUs/SoCs). - Proficiency in deploying and optimizing AI-based applications on embedded platforms like NVIDIA Jetson and Raspberry Pi. Additional Benefits: - Eligibility to work from the Bangalore office. - Flexible work environment allowing for full-time remote work globally. - Employee discounts on Harman and Samsung products. - Extensive training opportunities through HARMAN University. - Competitive wellness benefits, tuition reimbursement, and access to campus fitness center and cafeteria. - Inclusive and diverse work culture that supports professional and personal development. Join HARMAN Automotive and be a part of a team dedicated to making employees feel welcomed, valued, and empowered. We encourage diversity of thought and ideas, fostering a culture that celebrates uniqueness and encourages continuous learning and development. With a legacy of innovation that spans nearly a century, HARMAN continues to create groundbreaking technology solutions that enhance everyday experiences and drive digital transformation across various industries. HARMAN: Where Innovation Unleashes Next-Level Technology,

Sizzle is an exciting new startup that is revolutionizing the gaming industry by developing AI to automate gaming highlights directly from Twitch and YouTube streams. We are currently seeking a talented engineer with expertise in computer vision and AI technologies related to image and video analysis. As a part of our team, you will be responsible for developing computer vision algorithms to identify key moments within popular online games. You will utilize foundational technologies such as TensorFlow, OpenCV, and others to build advanced models. Additionally, you will design neural network architectures specifically tailored for image and video analysis in the realm of popular games. Your role will involve specifying precise requirements for training data sets and collaborating with analysts to create these data sets. Furthermore, you will be responsible for training final models using techniques like transfer learning and data augmentation to optimize models for deployment in a production environment. Cooperation with back-end engineers will be essential to integrate all detection algorithms into production and automate the highlight creation process. The ideal candidate possesses a strong understanding of computer vision and AI frameworks and algorithms, particularly in image and video analysis. Proficiency in Python, TensorFlow, OpenCV, and other computer vision tools is required. Familiarity with common computer vision object detection models such as Inception, R-CNN, Yolo, MobileNet SSD, and others is beneficial. A demonstrated understanding of various algorithms for image and video analysis, such as CNNs and LSTM for motion and inter-frame analysis, is essential. Experience with AWS environments is preferred. A passion for working in a dynamic startup environment, a willingness to learn quickly on the job, experiment with new approaches, and deliver results are highly valued qualities. Ideally, candidates with a background in gaming or a keen interest in watching gaming content online are encouraged to apply. Key Skills: - Machine Learning - Computer Vision - Image Processing - Neural Networks - TensorFlow - OpenCV - AWS - Python Seniority Level: Open to junior or senior engineers based on skillset rather than experience level. Salary: Commensurate with experience. We welcome applications from individuals with the relevant experience, regardless of their seniority. However, applicants without AI or computer vision experience are advised not to apply.,

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Explore new features in GPU, including but not limited to Ray Tracing, Mesh Shading, Anti Aliasing, Super Resolution. Exploration tasks could include literature survey, implementation, research on short comings and propose new changes that benefit GPU power, performance or functionality. Architects, designs, implements, verifies, and optimizes various performance and power features of GPU cores. Responsible for building functional modeling simulations, developing software, tools, and tests for ray tracing graphics, running benchmarks for different applications Minimum Qualifications: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. About The Role Qualcomm is the largest fabless design company in the world. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. Our chipsets power a variety of products; tablets, smartphones, e-readers and other devices, and our digital design team is at the core of all of them. Depending on your technical area, you will be responsible for becoming a subject matter expert and go-to person for other members of your team. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. Qualcomm's Adreno Graphics Research Team is responsible for research, prototyping, profiling, analysis and optimization of emerging 3D Computer Graphics algorithms such as Ray Tracing, Mesh Shading, Workgraphs to name a few. The team works at the intersection of Computer Graphics and GPU architecture, identifying architectural inefficiencies in existing Adreno GPU hardware (HW) and proposing next-generation GPU HW architectural improvements. Position Overview: - Develop, analyze and optimize emerging graphics workloads. - Build functional models and microbenchmarks to obtain a deeper understanding of underlying GPU HW and make recommendations based on analysis. - Identifying and quantifying performance bottlenecks and resolving the same through either HW or SW (e.g. GPU Compiler or Driver) optimizations. - Work closely with HW Architects to develop new features to define Next Gen GPU Architecture. - Explore emerging algorithms in 3D Graphics domain including literature survey, competitive analysis, research on short comings and propose new changes that benefit Adreno GPU's performance, power and/or functionality. Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science or related field. - 8+ years Systems Engineering or related work experience Preferred Qualifications - Master's or higher degree in Computer Engineering or Computer Science. - 7+ years of relevant GPU System Engineering or Research experience. - Expertise with Vulkan, DirectX. OpenGL, or OpenGL ES - Familiar with modern PC/console game engine architectures - Familiarity with 3D graphics profilers and debuggers such as Snapdragon Profiler, RenderDoc, Pix, NSight, etc" Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.