49 Gstreamer Jobs - Page 2

bout the Role Work closely with customers to support and enable Deep Learning software and application development. Develop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloads. Create application notes and other documentation on software tool flows. Performance and Power measurement and analysis of Embedded AI systems. Necessary qualifications BTech/MTech in EE/CS 4+ years of experience. Experience in building embedded software applications. Experience programming in Python, C, and C++. Experience in vision frameworks like OpenCV, GStreamer, OpenCL, and so forth. Excellent problem-solving skills. Excellent communication skills. Preferred qualifications Experience with video/multimedia/image processing software development. Exposure to Neural Networks, AI/ML/DL models, training, and frameworks like TensorFlow, Caffe, and PyTorch. Experience with Driver development in Linux, macOS, or Windows platforms. Experience in debugging hardware. Ability to work both independently and in highly collaborative team environments. Ability to learn new tools and concepts quickly.

Mandatory Skills: Engineer with 8+ years of experience in embedded Linux/Linux application/driver/kernel development Strong C/C++ development skills with a good understanding of object-oriented design Strong OS concepts Experience with Multimedia frameworks such as Stagefright, Gstreamer, OpenMAX, Codec2. Hands on experience with video codecs such as H264, HEVC, MPEG2 etc. is must. Strong background in embedded systems development System knowledge, System Debugging Keywords: Embedded, Android, HAL, Video, OpenMax, Codec2, H254, MPEG2, VP9

This is what you are responsible for Work closely with customers to support and enable embedded application development Develop software applications to demonstrate Deep Learning use cases primarily in vision analytics workloads Create application notes and other documentation on software tool flows Performance and Power measurement and analysis of Embedded AI systems Create communication plan and processes to effectively prioritize customers, issues and features Necessary qualifications Demonstrated ability to support customers Customer first attitude, track record of root-cause analysis and fixing a problem for good Bachelors Degree in Computer Science or Electronics plus 5+ years of experience Experience in building embedded software applications Experience programming in Python, C, C++ Experience in vision frameworks like OpenCV, gstreamer, OpenCL etc. Excellent problem-solving skills Excellent communication skills Preferred qualifications Strong analytical and quantitative skills Experience with video/multimedia/image processing software development Exposure to Neural Networks, AI/ML/DL models, training, frameworks like TensorFlow, Caffe, PyTorch Experience with Driver development in Linux, MacOS or Windows platforms Experience at debug of hardware Ability to work both independently and in highly collaborative team environments

Location: Bangalore Experience: 3 to 9 years Notice Period: 0-30Days Must Have Experience: Coding Experience C, C++ (C++ 11 will be added advantage) Technology Good knowledge on concepts of Audio , Video , Image,camera and Streaming Should have knowledge of Container formats , Parsers , Decoders , Encoders Good knowledge of multimedia frameworks Android/GStreamer Exposure to HAL layerGood to havePeripheral bring upKnowledge on Camera pipeline Experience with computer graphics, GPU programming (e.g. HLSL, GLSL, or similar) DRM conceptsOperating System:Firefox,KaiOS, Android etcMust know concepts Should have worked on multi-threaded environments . Understanding of IPCs , HIDL , AIDL Basic understanding of design concepts Understanding of web development best practices (e.g. Performance, Memory, etc) git or bitbucket - Common repository skills (can rebase, merge, branch, etc.).

Mandatory Skills: Engineer with 8+ years of experience in embedded Linux/Linux application/driver/kernel development Strong C/C++ development skills with a good understanding of object-oriented design Strong OS concepts Experience with Multimedia frameworks such as Stagefright, Gstreamer, OpenMAX, Codec2. Hands on experience with video codecs such as H264, HEVC, MPEG2 etc. is must. Strong background in embedded systems development System knowledge, System Debugging Keywords: Embedded, Android, HAL, Video, OpenMax, Codec2, H254, MPEG2, VP9

About We're building new edge-AI video products that span the full software stack from low-level C++ video libraries to cloud APIs and frontend dashboards. We're looking for a highly skilled Full-Stack Video Engineer with a strong academic background in video technology and hands-on experience in coding across the stack. This is a foundational engineering role for someone who enjoys building real-world systems from the ground up and isn't afraid to get their hands dirty with everything from video codecs to REST APIs to React. Responsibilities Develop and optimize C++ video processing libraries for edge devices. Design and implement RESTful APIs to interface with video systems and AI models Build intuitive frontend dashboards using React for configuration, monitoring, and playback. Integrate AI pipelines into the video stack. Collaborate with product and hardware teams to deliver robust, production-ready features. Own and drive end-to-end product development. Requirements PhD in Video Technology, Computer Vision, Multimedia Systems, or related field. Strong programming skills in C++ , Python , and JavaScript (React) Experience working with video processing tools (OpenCV, FFmpeg, GStreamer) Understanding of RESTful API design and backend technologies (e.g., Node.js) Essential experience or interest in AI/ML integration Comfortable working across the stack in a fast-moving, remote-first environment Nice to Have Experience with edge AI platforms (e.g., NVIDIA Jetson, OpenVINO) Knowledge of containerization (Docker) and CI/CD tools Familiarity with WebRTC, RTSP, or other streaming protocols Experience deploying full-stack applications in production What We Offer A chance to work on cutting-edge video products with real-world applications High ownership, autonomy, and impact Competitive salary and growth opportunities Flexible remote work (based out of Bangalore preferred for time zone alignment) A collaborative and ambitious team culture

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Description [Technology and Sub-technology] Good in C++ and OOPS concepts and design patterns Hands on experience with Gstreamer Hands on experience in multithreading, IPC mechanism and linux system programming Understanding of OS concepts and RTOS Good knowledge on Linux Operating System Good debugging skills with GDB, memory analysing with Valgrind [Base Location] Bangalore [Type] Hybrid/WFH/In-office [Qualifications] BTech/BE in computer science/electronics 3-4 years experience in working with linux based system [Job Overview]C++ Developer with good debugging skills [Primary Skills] C++ Programming skills work experience with Gstreamer plugins [Good to have Skills] ROS experience Gstreamer and Gstreamer plugin development C, Python, Bash scripting Git usage and commands [Responsibilities and Duties] Cooperate with team and supportive handle customer/leaders request with priority and timeliness. Proactive to take responsibility Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family To be defined Local Role Name To be defined Local Skills C++;C;GStreamer Languages RequiredENGLISH Role Rarity To Be Defined

Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Title:Sr. Engineer Exp:4-7 Yrs About Us: We are a leading company in the audio technology industry, dedicated to creating innovative and high-quality audio solutions. Our team is passionate about open-source development and committed to contributing to the community. About The Role :: We are seeking a highly skilled and experienced Linux Audio Developer to join our team. The ideal candidate will have a deep understanding of Linux audio systems, extensive experience in Android Audio framework, and a passion for developing cutting-edge audio technologies. QCT's Audio SW CE engineer supports OEM (for IOT and other emerging technologies) with in-depth understanding of Audio technologies/Standards. Candidate should deal with the Audio Middleware, HAL, driver, firmware related engineering problems reported by ODM"™s. Key Responsibilities: Need to support Qualcomm IoT customer projects for Audio technology. Need to gather requirement details for new project. Need to understand Audio SW architecture which includes Audio Middleware (Gstreamer, Pulse Audio), Audio HAL, Audio Flinger etc. Design, develop, and maintain Linux audio drivers and applications. Collaborate with the cross functional teams in Qualcomm to speed up the solutions to customer problems. Troubleshoot and resolve complex audio-related issues. Work closely with hardware and software teams to integrate audio solutions. Mentor and guide junior developers in best practices and advanced techniques. Stay up-to-date with the latest advancements in Linux audio technologies. Qualifications: 4 - 7 years of experience in Android Audio framework/AudioReach/ALSA Audio drivers/DSP. Strong proficiency in C/C++ and Python. Extensive experience with ALSA, PulseAudio, JACK, and other Linux audio frameworks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience with TinyALSA, ALSA, ASoC topology, and codec drivers. Understanding of TDM/PCM/I2S/PDM/Slimbus/Soundwire Audio Hardware Interfaces, Digital Microphones, Amplifiers and Audio Codecs is an added advantage. Experience with SW and HW tools used in the Linux kernel and Android debugging. Linux Kernel Requirements: In-depth knowledge of Linux kernel internals. Experience with kernel module development and debugging. Familiarity with kernel subsystems related to audio. Experience with version control systems like Git Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience. 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of any combination of academic and/or work experience with debugging techniques.

Education : B.Tech/M.Tech in ECE, CS, EEE Notice Period : Immediate to 3 months Key Responsibilities : - Design, develop, and maintain multimedia drivers (audio, video) for embedded systems. - Port multimedia drivers to various hardware platforms and operating systems (Linux). - Optimize multimedia driver performance for low-power and high-performance scenarios. - Develop and integrate multimedia codecs and frameworks into the driver stack. - Work closely with hardware teams to ensure optimal multimedia module integration. - Troubleshoot and resolve multimedia-related issues. - Stay updated with the latest multimedia technologies and industry trends. Required Skills : - Strong proficiency in C programming language. - In-depth knowledge of Linux kernel and device driver development. - Experience with multimedia hardware interfaces (I2S, SPDIF, HDMI, USB). - Understanding of audio and video codecs (AAC, MP3, H.264, VP9, etc.). - Familiarity with multimedia frameworks (GStreamer, FFmpeg). - Experience with debugging tools and techniques. - Good problem-solving and analytical skills. - Strong communication and teamwork abilities. Preferred Skills : - Experience with camera driver development. - Knowledge of computer vision and image processing algorithms. - Experience with scripting languages (Python, Perl). - Familiarity with real-time operating systems (RTOS).

GST compliances Preparation of (or, where appropriate, supervising the preparation of) GST returns (GSTR 1, GSTR 3B, GSTR 7, GSTR 9, GSTR 9C), Preparation and / or review of auto drafted FSTR 1 with sales register, GSTR 2A/ 2B with ITC register Ensure timeliness and correctness in monthly GST payments and periodic GST returns, Preparation / review of GST refund applications Review of the mechanism for availment of Input Tax Credit and building necessary checks to ensure correct credit is availed Provide inputs on automation on GST compliances. Co-ordination with departmental authorities Drafting the replies to the various notices, drafting appeals for litigations related to GST matters Appearing before GST authorities in relation to GST Audits and other inquiries by GST department Preparation and submission of relevant data, reconciliations and information as required by GST authorities GST Advisory Overview and advice on All India GST related matters and dealing with the Consultants in regard to various GST issues, Advise in connection with state specific E-waybill rules, Analysis of the changes in laws, regulations, accounting principles, judicial pronouncements and interpret its implications from GST perspective Periodic meeting with teams to resolve the key GST issues

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: You will be part of Automotive Applications & Product Performance team that is responsible for enabling new technologies and optimizing application and System performance on Snapdragon Automotive chipsets. This position specifically requires knowledge on ARM devices with Systems background . Responsibilities include: Drive Hardware Validation and Performance analysis on silicon using various System and Cores (i.e. CPU, GPU, Memory and AI/ML) benchmarks like Dhrystone, Antutu, GeekBench, GfxBench, SpectInt, Resnet etc. Use of Performance tools to analyze the load patterns across IPs and identify any performance bottlenecks in system. Analyzing Performance KPIs of Auto SoC subsystems like CPU, GPU, NSP, Memory, Camera, Display, Video and corelate performance with projection Evaluate and characterize performance at various junction temperatures and optimize to run at high ambient temperatures. Analyze and optimize the System performance parameters of SoC infrastructure like NoCs, LP5 DDR, etc. Collaborate with cross-functional global teams to plan, execute performance activities on Auto chipsets as well make recommendations for next generation chipsets. Minimum Qualifications 6+ years of industry experience in the following: Experience working on any ARM/x86 based platforms, mobile/automotive operating systems and/or performance profiling tools. Experience in application or driver development in Linux\QNX and ability to create/customize make files with various compiler options is a plus. Must be quick learner and should be able to adapt to new technologies. Must have excellent communication skills. Preferred Qualifications Additional skills in the following areas are preferred: Knowledge on Computer architecture, LP5 DDR, Bus/NOC profiling is big plus. Fundamentals on any Automotive operating system like AGL/QNX/Hypervisor & experience working on any Automotive applications. Basic Knowledge on any multimedia frameworks like OpenGL/ES, OpenMax and OpenCL is plus. Experience in creating the professional quality reports and slides using MSOffice or any advanced visualization tools. Experience in PoC development and competitive analysis Knowledge on Voltage/Power/Thermal domain is plus. Education Requirements "‹ Required:Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering Preferred:Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords Architecture Performance, System Performance, Automotive Performance, Benchmarks, Thermal Performance, UX optimization, QNX, Hypervisor, Application Development Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. 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 :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a highly skilled Staff Engineer with extensive experience in the GStreamer multimedia framework. The ideal candidate will be responsible for designing, developing, and optimizing multimedia applications and systems. This role requires a deep understanding of multimedia processing, pipeline architecture, and the ability to work on complex projects. 10+ years of development experience with majority in Multimedia framework & Gstreamer plugins development. Strong programming skills in C and C++ for embedded systems Good knowledge about AI/ML applications developements Exposure to developing solutions on Linux is must Strong in multi-threaded programming, synchronization and IPCs Strong Software design skills and ability to guide team of engineers Good knowledge on software development processes Need very good Communication skills and ability to work with cross functional teams Exposure to other media frameworks such as ffmpeg, directshow, stagefright is a plus Good knowledge on V4L2, Pulseaudio, Alsa, OpenGLES is a plus t Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Bachelor's/master's degree in computer science, Computer Engineering, Electrical or Electronics Engineering, or equivalent 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 :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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.

Role - Multimedia Developer Location - Bangalore and Hyderabad ( Work from office ) Notice - Immediate to 15 Days Employer : Tessolve Semiconductors Role & responsibilities •Good Knowledge of multimedia frameworks like v4l2 and DRM framework in Linux . •Experience in Linux device drivers. •Strong knowledge in C. •Hands-on experience with Configuration Management tool like GIT, Perforce. •Knowledge on GStreamer multimedia framework •Have an interest to constantly learn and share new findings. •A quality mindset, ability for strategic thinking and a drive to always improve. •Self-motivated Optional : GStreamer application development for creating multimedia pipelines Interested candidates pls send your updates resumes to shreyas.ramesh@tessolve.com / References are Welcome Thanks, Shreyas. R Tessolve HR Team

Develop VideoManagement System using Python, NodeJS, Golang, Java or C# Implement Video Streaming Protocols (RTSP, RTMP, WebRTC, HLS) & Optimize FFmpeg/GStreamer for Video Manage Databases -PostgreSQL/MongoDB/ Redis Build RESTful and WebSocket APIs Required Candidate profile 3+ yrs Exp on Python, Node.js, Golang, Java, or C#. Video Streaming (Fmpeg, WebRTC, HLS, GStreamer, OpenCV) Microservices, APIs, DB Optimization. AWS, GCP, Azure & Docker/Kubernetes for deployment.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Responsibilities: Looking for highly skilled and motivated engineers working on IoT Audio technologies. Linux audio HAL/framework/drivers development. Design and implementation of Linux audio software. Customer requirements decomposition, solution implementation, and customer support. Adding audio devices and developing audio drivers. RTOS experience Build the processes to achieve high quality software development Make the right technical choices and tradeoffs governed by data driven development Coordinate with cross-functional teams contributing to the overall success of the projects Continuous improvement of quality and performance of the software and raise the bar Decide the objective and goals and drive team towards achieving those Guide the team for shipping the solutions Requirements: Bachelor's or master's degree in computers, Electrical, Electronics Engineering or related field with 6+ years of proven experience with focus on software development for embedded SOCs 6+ years of managing a team Thrive in Linux and RTOS development platforms. Good understanding of Linux fundamentals, Audio fundamentals, Audio HAL, gstreamer, Pulse audio. Good understanding of MediaPlayer, MediaRecorder, Audio/Video encode and decode. Good understanding and hands-on experience of audio drivers, ALSA. Strong C/C++ programming skills. The basic knowledge of Android. Minimum Qualifications: "¢ Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. "¢ 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Who You Are Strong sense of ownership, accountability, and business acumen Passion for your team's vision/mission & the entrepreneurial drive to make things happen Mentor the team in growing and reaching their full potential Passion for designing modular systems using reusable components, SDKs, and robust APIs Collaborate, socialize, and drive cross-team technical initiatives Possess can-do attitude and strong work ethic. Act with empathy and humility Must Have Skills 6+ years of experience in the contact center domain, specializing in call recording systems. Strong proficiency in C/C++ Deep expertise in media transcoding, codec optimization (e.g., G.711, G.722, OPUS, AMR), and handling audio stream formats for VoIP communication Expertise in transcoding libraries and tools such as FFmpeg, GStreamer, and MediaCodec, including their optimization and customization Expertise in audio streams manipulation Deep understanding of media compression principles, bitrate optimization, and quality trade-offs to ensure efficient media delivery Familiarity with real-time communication protocols such as WebRTC, SIP, and RTP/SRTP for seamless integration with audio streams Advanced knowledge of packet capture, dissection and protocol decoding Experience in networking - DNS, DHCP, SSH, NAT, QoS, TCP/IP etc Strong coding skills with an eye for using the right algorithms and data structures Excellent troubleshooting, analytical and decision-making skills Disciplined approach to documentation Ability to lead, partner, and collaborate cross functionally across an engineering organization Bachelors or master’s degree in engineering, Computer Science or equivalent experience Location preference: India - Bangalore Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visitwww.uniphore.com.

Video Deep Learning Engineer Job Description: We are currently looking for bright Video Deep learning talent who have 4-5 years of industry experience, working on problems related to the Video AI space. The ideal candidate will be proficient in implementing and optimizing ML/DL/AI models, particularly for video and image processing, while also having a deep understanding of encoding and decoding algorithms. If you are passionate about advancing multimedia technologies and have hands-on experience with deep learning and video compression standards, we encourage you to apply. As part of our team, you will work on cutting-edge projects in video and image compression, activity detection, object detection, and related areas. You will be responsible for implementing, tuning, and evaluating ML/DL models h, optimizing performance, and applying your expertise in compression algorithms to improve encoding/decoding efficiency. Minimum Qualifications: Strong C++ programming skills (C++11 & above, STL) Execution of ML/DL/AI models on PyTorch or any other FraMework, loss and performance analysis, regression tracking Good understanding of Deep Learning concepts (model parameters, tuning of models, optimizers, learning rates, attention mechanisms, masking etc). Thorough understanding of deep learning implementations of activity detection or object detection. Expertise in video and image compression standards (such as H.264, HEVC, AV1, JPEG) and relevant encoding/decoding algorithms. Proficiency in using quality metrics such as SSIM, PSNR to evaluate encoding/decoding performance. Experience with hardware acceleration techniques in multimedia processing is a plus Expertise in numeric analysis, loss/accuracy, and performance debug in validation environment Solid development experience (git, cmake, gdb, strace, shell, etc.) in Unix-like (Linux) environment. The candidate must be able to identify and debug system issues Proficiency in Version control tools like GIT, GITlab, Gerrit Reviews Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release. Preferred Qualifications: Good Understanding of DALI / FFMPEG / gstreamer encoding, decoding and pre-processing functions. Knowledge of deployment tools like Triton inference server or Ray is a plus.

Job description Job Title: Senior Engineer Video Job Location: Chennai Job Type: Full-Time Experience: 5+ years Key Responsibilities: Implement, test, and deliver production-quality software, architected for problems in video pipelines of internal and customer IPs. Lead the execution and implementation of product features with a small team of engineers and mentor the junior engineers within the team. Conduct meticulous code-reviews to ensure bug-free and high-quality deliverables. Contribute towards product release cycles by developing tests deployed in continuous integration frameworks, fixing bugs identified during release, etc. Interface with customers, support customer evaluations of products and debugging of customer issues. Qualifications: Bachelors degree in Computer Science, Computer Engineering, or Electrical Engineering with 5 + years experience, or a Masters degree in similar areas with 3+ years’ experience Excellent C/C++ development and debugging experience in creating production grade software on Windows and Unix-based platforms. Hands-on experience in video coding with an in-depth knowledge of HEVC, AVC, VP9, AV1 and VVC. Strong interest in video/imaging technologies, including video/image compression, analytics, and streaming/ delivery. Demonstrated analytical, problem solving and troubleshooting skills, with meticulous attention to detail. Working knowledge of code management systems such as Git and Bitbucket Good verbal and written communication skills Preferred Qualifications: Experience with continuous integration frameworks like Jenkins Experience with heterogeneous programming libraries such as OpenCL, CUDA. Experience with platform-specific software optimizations like SIMD to enable higher performance software. Understanding of Agile / Scrum methodologies Experience in interacting with geographically distributed teams for reviews and meetings.

Key Responsibilities: Vendor invoice processing, TDS deduction and accounting. Non trade Vendor reconciliation. Handle GST compliances GSTR 3b, GSTR1, GSTR8. JV preparation and posting for B2C business including the workings. To work on various reconciliations related to B2C business. Bank Reconciliation. Accounting of accruals entry and maintenance of records. Preparation of schedules for accounting and auditing purpose for relevant work areas. Ensure timely closure of books, support in MIS reporting Handling Audit and SOX requirement related work area. Educational Qualification: B.com, M.com, MBA / CA Semi Qualified Experience: 3- 6 years of experience in Accounts & Finance professional. Key skills required for the role: Strong Knowledge of accounting and books of accounts. Working knowledge of Ledger scrutiny and reconciliations. Working knowledge in MS Excel

Hands-on experience in GST return filing, tax planning, managing assessments, and ensuring compliance, team and client management. This role offers excellent growth opportunities, reporting directly to the Partner. Required Candidate profile COMPLIANCE WITH ALL GST LAWS AND REGULATIONS, GST RETURN AND FILE, WELL PREPARE FOR GST AUDIT , COLLABORATE WITH INTERNAL DEPARTMENT TO PROVIDE GUIDANCE ,MONTHLY FILLING GST CREDIT WITH GST PORTAL