241 Opencl Jobs - Page 10

This vacancy is for a software developer in UAV development division. Candidate is expected to have following skills, Skills : C,C++, QT, QML, GUI, Geographic Information System(GIS), FPGA Responsibilities Design, build, and maintain efficient, reusable, and reliable C,C++ code. UAV software stack development. Identify bottlenecks and bugs, and devise solutions to problems. Help to maintain product quality, organization integrity and team coordination. Description/Requirements Strong proficiency in C++, with fair knowledge of the OOPs & STL. Proficient knowledge on communication protocols like CAN, TCP/UDP, UART, I2C etc. Experience in QGIS and MAV Link is a plus. Experience in developing GUI with tool chains such as Qt, QML etc. Hands-on experience in designing and developing scalable computer vision solutions with OpenCV, CUDA, OpenCL, NPP etc. Good understanding of memory management, thread Management, Concurrency & Parallelism programming. Familiarity with embedded systems design, low-level hardware interactions. Experience with Xilinx FPGA tool flow (Vivado) for synthesis, implementation, and bitstream generation. Familiarity with Yocto, RTOS. Good to have knowledge on Unit/integration testing. Know-how of coding standards like MISRA, C++. Familiarity with code versioning & project management tools. Show more Show less

Job Information Department Name Platforms & Compilers Job Type Full time Date Opened 14/05/2025 Industry Software Development Minimum Experience In Years 3 Maximum Experience In Years 5 City Saidapet Province Tamil Nadu Country India Postal Code 600089 About Us MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators. MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently. We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help. Job Description Job Summary We are seeking an experienced GPU Programming Engineer to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads. The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration. Key Responsibilities Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization. Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs. Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability. Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions. Required Qualifications Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs. Strong understanding of GPU architecture, memory hierarchy, and parallel programming models. Proficiency in C/C++ and hands-on experience developing on Linux-based systems. Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto. Preferred Qualifications Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.

Job Summary We are seeking an experienced GPU Programming Engineer to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads. The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration. Key Responsibilities Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization. Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs. Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability. Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions. Required Qualifications Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs. Strong understanding of GPU architecture, memory hierarchy, and parallel programming models. Proficiency in C/C++ and hands-on experience developing on Linux-based systems. Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto. Preferred Qualifications Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.

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.

Institute of Information Science Postdoctoral Researcher 2 Person The Computer Systems Laboratory - Machine Learning Systems Team Focuses On Research Areas Including Parallel And Distributed Computing, Compilers, And Computer Architecture. We Aim To Leverage Computer System Technologies To Accelerate The Inference And Training Of Deep Learning Models And Develop Optimizations For Next-generation AI Models. Our Research Emphasizes The Following Job DescriptionUnit Institute of Information ScienceJobTitle Postdoctoral Researcher 2 PersonWork Content Research on Optimization of Deep Learning Model Inference and Training AI Model Compression and Optimization Model Compression Techniques (e.g., Pruning And Quantization) Reduce The Size And Computational Demands Of AI Models, Which Are Crucial For Resource-constrained Platforms Such As Embedded Systems And Memory-limited AI Accelerators. We Aim To Explore AI compiler: deployment methods for compressed models across servers, edge devices, and heterogeneous systems. High performance computing: efficient execution of compressed models on processors with advanced AI extensions, e.g., Intel AVX512, ARM SVE, RISC-V RVV, and tensor-level accelerations on GPUs and NPUs. AI Accelerator Design We aim to design AI accelerators for accelerating AI model inference, focusing on software and hardware co-design and co-optimization. Optimization of AI Model Inference in Heterogeneous Environments Computer Architectures Are Evolving Toward Heterogeneous Multi-processor Designs (e.g., CPUs + GPUs + AI Accelerators). Integrating Heterogeneous Processors To Execute Complex Models (e.g., Hybrid Models, Multi-models, And Multi-task Models) With High Computational Efficiency Poses a Critical Challenge. We Aim To Explore Efficient scheduling algorithms. Parallel algorithms for the three dimensions: data parallelism, model parallelism, and tensor parallelism. Qualifications Ph.D. degree in Computer Science, Computer Engineering, or Electrical Engineering Experience in parallel computing and parallel programming (CUDA or OpenCL, C/C++ programming) or hardware design (Verilog or HLS) Proficient in system and software development Candidates With The Following Experience Will Be Given Priority Experience in deep learning platforms, including PyTorch, TensorFlow, TVM, etc. Experience in high-performance computing or embedded systems. Experience in algorithm designs. Knowledge of compilers or computer architectureWorking EnvironmentOperating Hours 8:30AM-5:30PMWork Place Institute of Information Science, Academia SinicaTreatment According to Academia Sinica standards: Postdoctoral Researchers: NT$64,711-99,317/month. Benefits include: labor and healthcare insurance, and year-end bonuses. Reference Site 洪鼎詠網頁: http://www.iis.sinica.edu.tw/pages/dyhong/index_zh.html, 吳真貞網頁: http://www.iis.sinica.edu.tw/pages/wuj/index_zh.html Please Email Your CV (including Publications, Projects, And Work Experience), Transcripts (undergraduate And Above), And Any Other Materials That May Assist In The Review Process To The Following PIs Acceptance MethodContacts Dr. Ding-Yong Hong Contact Address Room 818, New IIS Building, Academia Sinica Contact Telephone 02-27883799 ext. 1818Email dyhong@iis.sinica.edu.tw Required Documents Dr. Ding-Yong Hong: dyhong@iis.sinica.edu.tw Dr. Jan-Jan Wu: wuj@iis.sinica.edu.twPrecautions for application DatePublication Date 2025-01-20Expiration Date 2025-12-31

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 4-6 years work experience in embedded software and/or driver.Candidate should be detail-oriented and have strong analytic and problem-solving skills, highly organizedExtremely strong knowledge with C/C++ programming, ARM assembly language.Solid understanding of overall embedded system architecture.Experience in 2D and 3D graphics technology and standards such as OpenGL, OpenGL ES/EGL, VulkanExperience in multimedia on embedded systems and the use of graphics and in a highly integrated system.Experience and/or knowledge of the use of the GPU as a compute engineGPGPU and OpenCL is an asset.Experience with virtualization technologies across CPU and MM hardware accelerators.Experience with GPU optimization, advanced rendering, and latency optimizations and ability to identify and isolate performance issues in graphics applications.Experience with design and implementation of modern 3D graphics applications using OpenGLES API is a plus.Experience with writing vertex and fragment shaders using shading languages such as GLSL is a plus.Knowledge in one or more of the following operating systems is preferredAndroid, QNX, embedded Linux, Genivi, Integrity.Knowledge of Graphics frameworksKanzi, QT, is a plus *Fluent in industry standard software toolsSW/HW debuggers, code revision control systems (GIT, Perforce), IDEs and build tools.Strong communication skills (written and verbal), working with teams across multiple time zones.A passion for excellence in programming, and exceeding goals. RequiredBachelor's, Computer Engineering and/or Computer and/or Electrical Engineering PreferredMaster's, Computer Engineering and/or Computer and/or Electrical Engineering

A Moving Experience. Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride! Who is Cerence ai? Cerence ai is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our Driving Force Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth. Interested in having a significant impact in a dynamic industry with a high-performing global team? We are seeking a highly skilled and innovative Senior Software Engineer in the TTS (Text-To-Speech) R&D team to develop TTS products exploiting AI models. The ideal candidate will have a robust background (experience or knowledge) in hands on Python programming and ML Ops. Person should be well-versed in the software engineering practices, version controls such as Git, experience and familiar in deployment, optimization of ai model (throughput, efficiency) and with ML-Ops, not for development of AI model but should expert for integration and optimization = productization. Your Impact: Transitioning AI models from research to product-grade and integrating them into observable services optimized for GPUs, specifically for Text-to-Speech (TTS) applications.Develop GPU-accelerated versions of advanced speech AI algorithms like TTS, voice style transfer and neural network-based vocoders etc.Identify and address performance bottlenecks, applying optimization techniques to enhance efficiency.Work collaboratively with cross-functional teams to introduce new product features and enhance existing products What You Bring: Masters or Bachelors (or equivalent experience) in Computer Science, computer architecture, or related field5+ years of experience, excellent Python programming and software design skills, including debugging, performance analysis, and test designExperience with inference Services and productization of AI Models (ML Ops)Excellent Debugging abilities spanning multiple software (storage systems, kernels and containers). Familiarity with version control and code review toolsBackground with container technologies such as docker (Preferred)Background with AI models for Speech Recognition, speech synthesis, Speech Translation, Machine Translation, TTS (Preferred)Experience with Nvidia frameworks and tools for performance measurement and optimization (Preferred)Knowledge of GPU programming such as CUDA or OpenCL (preferred) What We Offer We offer a generous compensation and benefits package (in addition to the base salary), including: Annual bonus opportunityInsurance coverage as per policyPaid time offPaid holidaysCompany contribution to the RRSP (Registered Retirement Savings Plan)Equity awards for certain positions and levelsHybrid work mode is applicable for this position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. Following security procedures to report any suspicious activity. Having respect for corporate security procedures to allow those procedures to be effective. Adhering to company's compliance and regulations. Encouraging to follow a zero tolerance for workplace violence. Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). Demonstrative knowledge of information security through internal training programs.

Software Developer (Machine Learning/Desktop App) Description Experience in .NET, 3D Modelling principles, machine learning, and image processing. Responsibilities - Design, code, test, and manage various applications - Collaborate with Systems team Experience - Minimum 1+ years of experience with .NET - Experience in developing web-based/Desktop applications using C# (Visual Studio), HTML, JavaScript, VBScript/ASP, or .NET Technical Skills - Solid understanding of mathematical concepts beneficial for algorithms, data analysis, and ML - Graphics programming (2D/3D), DirectX, OpenGL, OpenCL - Object-Oriented Programming (OOPS) - Image processing - Machine Learning in .NET (C#) with 3D graphics programming - Full software development life cycle Languages C#.NET, VB.NET, 3D Programming, Python, C++, VC++, VB6.0, Delphi, OpenGL Qualification Bachelor's/Master's Degree in Computer Science Salary Salary is not a constraint for experienced candidates

Are you a highly skilled Embedded Platform & Computer Vision Leader with a strong C++ background? We need you to lead the architecture, development, and optimization of our embedded vision platforms. You'll lead a team to design and build high-performance embedded systems and C++ applications, integrating computer vision and AI for real-time edge devices. This role is a mix of technical leadership, hands-on development, and strategic planning, with the ultimate goal of delivering reliable, high-performance solutions on time and within budget. Required Qualifications Bachelors/Master’s in Computer Science, Electronics, or related field. 10+ years in embedded systems/software development, with expert-level C++ skills (C++11/14/17+). Strong experience in multithreaded programming, memory management, and real-time application design. Proven track record in computer vision and embedded AI deployment. Proficiency with cross-compilation, CMake, and build optimization. Solid understanding of camera interfaces (MIPI CSI, USB, GigE Vision) and image sensor integration. Preferred Skills CUDA, OpenCL, Vulkan, or FPGA acceleration for vision pipelines. GStreamer pipeline development in C++. Familiarity with low-level image sensor tuning (ISP parameters, calibration). Experience with Agile/Scrum in embedded projects.

Strong fundamentals in C/C++ and OS internals Strong knowledge of and experience with LLVM, tvm especially middle-end compilers. Knowledge and experience with graphics/compute APIs such as OpenCL, cuda, Vulkan, OpenGL or DirectX An appreciation of multi-threaded and/or parallel computation and associated complexity Knowledge of GPGPU programming Knowledge of AI/ML workloads that are amenable to GPU execution This is what you are responsible for Design and develop the application and system software for a cutting-edge AI silicon Ability to work in a fast-paced environment collaborating with various teams locally and globally A passion for problem-solving and the ability to consider the bigger picture during feature development Define feature requirements with customers and teams, gathering feedback to improve products Ensure clear understanding of requirements, documenting implementation strategies Review and test features to prevent issues, conducting impact analysis to mitigate potential problems

Job Role Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations GPU power modeling and estimation for projection and correlation GPU workload analysis, profiling, and characterizations Analyze, model, and minimize GPU register, logic, memory, and clock power Develop and maintain tests for pre-silicon and post-silicon power verifications. Work closely with multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams Knowledge of Graphics architecture is a plus Additional Job Description Preferred Qualifications: Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 5+ years Systems Engineering or related work experience 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development 5+ years of experience with VLSI design and verification 5+ years of experience with low-power ASIC design techniques Experience with industry tools such as PrimeTime PX and Power Artist Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development Experience with GPU driver and compiler development Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification Additional Job Description 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. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred Qualifications: Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development 5+ years of experience with VLSI design and verification 5+ years of experience with low-power ASIC design techniques Experience with industry tools such as PrimeTime PX and Power Artist Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development Experience with GPU driver and compiler development Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification

Responsibilities: This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our world wide customers. From the analyses and experiments on GPU shaders and bottlenecks, usage and development of tools/profilers, and investigation of compiler architecture, there will be opportunities to influence performance of games, applications, and hardware design, through interactions in compiler/driver, architecture and games development. Qualifications: A BS/MS/PhD degree in Computer Science or Electrical Engineering. LLVM Compiler knowledge, development, and optimization experience. Understanding of GPU and computer architecture (CPU, memory, data layout, etc.) and performance tradeoffs. Experience with C/C++ and Python Good communication skills and teamwork spirit, reliable and self-motivated Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. - 5+ years Systems Engineering or related work experience Preferred Qualifications: - Master's or higher degree in Computer Engineering or Computer Science. - 7+ years Systems Engineering or related work experience 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. Additional Job Description Plus: Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA kernel development Experience understanding of profiling debugging tools and hardware performance counters for parallel applications Experience with benchmarking and performance tuning for parallel applications, games, HPC, AR/VR, or AI applications.

About Newton School of Technology: Come be part of a rocket ship that’s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates. We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED’s Kunal Shah, Flipkart’s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan’s Sujeet Kumar among others. Key Responsibilities: Teach Computer Architecture by drawing from real-world VLSI design experience—covering instruction sets, pipelining, memory systems, and microprocessor implementation. Guide students through lab simulations and RTL projects that explore how architectural concepts are implemented in hardware (e.g., datapaths, control units, cache design). Design and evaluate lab work, assessments, and hands-on student projects that simulate industry applications. Mentor and support students in their academic and professional development journeys. Continuously update course content to reflect current industry trends and technologies. Contribute to curriculum development, academic research, and internal learning initiatives. Host technical workshops, design challenges, and guest sessions to extend classroom learning. Collaborate with fellow faculty, industry mentors, and curriculum designers to enrich learning outcomes Must-Have Skills & Qualifications: B.Tech / M.Tech / Ph.D. in Computer Engineering, Electronics, Electrical, or a related field. 6 - 10 Years of relevant experience Systems Programming Experience: - Extensive work with C/C++ for performance-critical applications - Experience with Assembly language programming - Development of low-level system software (device drivers, firmware)2. **Performance Optimization Background: - Profiling and optimizing code for specific hardware architectures - Experience with compiler optimizations - Cache-aware and cache-oblivious algorithm implementation3. **Parallel Computing Knowledge: - Multi-threaded application development - Experience with SIMD instructions (SSE, AVX) - CUDA or OpenCL programming for GPU computing4. Operating System Internals: - Kernel development or modification experience - Memory management implementation - Scheduler optimization5. Hardware Interface Experience: - FPGA programming (Verilog/VHDL is mentioned as a plus) - Embedded systems development - Experience with hardware simulators

General Summary: Having multiple positions for Engineer Senior Engineer Lead Engineer and Staff & Senior Staff Engineer. For Engineer Title (1-5 years) - Strong C++ is good to have. Graphics Domain is not mandatory Experience in Graphics APIs - any of DX11/DX12/Vulkan . Looking for a developer with strong design experience with OOPS, & C++ development experience. Hands-on experience with Game development, experience with Unreal Engine 5, GPU based rendering techniques. Prefer prior development experience in implementing/supporting Graphics driver for standards (Direct3D, Vulkan, OpenCL). Strong debugging skills would also be preferred Will work with GPU Software & Hardware teams, and ISVs to develop/support compliant and optimized Graphics drivers for Adreno GPUs for a competitive edge. Prefer prior experience with understanding the graphics rendering pipeline, APIs Inter-Op, and other Multimedia IPs. Performance profiling experience in DirectX/Vulkan games is preferred. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Hiring AI/ML Architect | Lead GPU-based Deep Learning Infra Design | Expert in Performance Tuning, CV Algorithms, Cloud Strategy, Resource Optimization | Strong Leadership, Benchmarking, and Team Mentoring Skills | Apply now!

Mandatory Skills: 1. Engineer with 4 to 7yrs of experience in embedded Linux/Linux application/driver/kernel development. 2. Strong C/C++ development skills with a good understanding of object-oriented design. 3. Experience dealing with Linux community and Open Source contribution a plus 4. Experience with any one of the domain (Multi Media, Power management, Display technology, OpenGL) 5. Experience with Audio sub-system, Audio driverss, frameworks and ALSA SOC(ASOC), Audio protocols like I2S, Proficient in yocto development. 6. Good working experience with IPC, DMA driver development. 7. Strong background in embedded systems development 8. System knowledge, System Debugging 9. Experience with kernel mode driver programming in Linux 10. Linux Device driver programming experience in Linux Kernel and Drivers. 11. Work in both an individual and team member environment 12. Excellent problem solving and debugging skills of the building blocks. 13. Kernel bug fixes and upstreaming 14. Strong written and verbal communication skills 15. Self-motivated, should be able to take lead in mastering new technologiesGood to have: 16. Expertise with CAR Framework. 17. Automotive experience