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5 - 10 years

7 - 12 Lacs

Bengaluru

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About The Role : Lead low power validation strategy and drive validation roadmap across multiple projects Lead a very high performing team of talented engineers working on GPU IP post-Si low power validation Excellent understanding latest GPU architecture/micro-architecture low power features, design changes and develop Post-Si Low Power validation test plan for 3D/Compute pipeline Very good understanding of low power concepts and flows (dynamic, leakage power, clock gating, power gating, Resets, stand-by entry/exit flow, DVFS, clock squashing, TDP, PM flexing) Good understanding of power switching, isolation, level shifter, clock domain crossing, PLL, power delivery logic Understanding of low power FSM blocks, states and interfaces with microcontrollers, SW Driver, FW, SoC and platform Define low power validation scenarios and implement basic/stress/concurrency/cross-feature/PM cycling/random test cases Work closely with pre-Si architect/design/verification and SW/FW teams to review test plans and scenarios and finalise synthetic/BareMetal/driver/real use cases to validate on simulation/emulation to sanitize tests before Si arrival Analyse feature coverage gaps and enhance test plans Define power-on bring up and volume validation regression plan to enable PRQ. Come up with receivables/dependencies, Risks/mitigation and follow-up closely with relevant stakeholders for closure Debug:Understand Si failure signatures in-depth, work closely with design and architecture, SW/FW teams to root cause issues. Guide juniors on debug Tools : Advance usage of Si debug tools. Work with tool development teams to Develop tools/scripts. Effective reproduction of issue on Emulation/simulation to decrease debug TAT Innovation - Drive development of new low power validation methodologies, shift-left validation, PM test framework, automation tools (test content generation, debug, feature coverage) and adoption of AI/ML methods to improve efficiency Regular Rolling up of the Post Si low power validation status to the upper management for decisions at various product cycle milestones Qualifications Master of Engineering degree in Computer or Electronics or Embedded Systems Engineering with 7+ years' experience in graphics post silicon power management PhD degree in Computer or Electronics or Embedded Systems Engineering with 5+ years' experience in graphics post silicon power management Should have good understanding of Computer architecture, Graphics architecture/design, low power Validation and Si Debug Flow Hands-on experience in C/ C++, and Perl/Python, Linux Shell Scripting Familiarity with Verilog/System Verilog/VHDL Familiarity with Windows, Linux OS, commands and environment Familiarity with OpenCL, OpenGL, Vulkan and DirectX API programming is desirable. Good analytical ability, problem solving, and written and verbal communication skills Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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2 - 7 years

4 - 9 Lacs

Bengaluru

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About The Role : Are you passionate about exploring computer architecture for AI? Are you excited about squeezing every cycle of performance through software optimizations? We are seeking world-class software developers and performance architects to join us and optimize open source AI frameworks, libraries and models on Intel accelerators. In this role, you will have opportunity to democratize AI by working with hundreds of thousands smart developers in open ecosystem and make a big technical impact in open source AI frameworks and libraries such as PyTorch, HuggingFace, JAX, vLLM etc. What You'll Be Doing- Craft the design to get Intel accelerators/GPUs/CPUs optimized in open source AI frameworks. Performance modelling, profiling, debug, and code optimization with architectural knowledge of hardware- Develop highly optimized deep learning kernels for Intel accelerators/GPUs/CPUs.- Interact with multiple technologists in the company to influence architectures and optimize/customize software offerings.- Explore and expand the boundary of innovative technologies for peak performance. Qualifications You are good at:- Master, PhD or equivalent in relevant fields (Computer Science, EE, Math)- 12+ years of relevant working experience- Strong programming skills in C, C++, and Python- Familiar with GPU architecture and GPU programming- Experience with designing software architecture, interfaces and abstraction- Excellent written and oral communication skillsExtra Awesome:- Background with deep learning fundamentals, frameworks, graph compilers, LLVM, MLIR etc.- Experience in developing/optimizing deep learning frameworks such as PyTorch , TensorFlow, JAX etc.- Familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering- Track record of leading a project and mentoring junior engineers.- Track record of maintaining or contributing to open source projects. Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world. Position of Trust This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

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0.0 - 2.0 years

0 Lacs

Chennai, Tamil Nadu

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Job Information Department Name Platforms & Compilers Job Type Full time Date Opened 23/10/2024 Industry Software Development Minimum Experience In Years 7 Maximum Experience In Years 10 City Chennai Province Tamil Nadu Country India Postal Code 600086 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 Key Responsibilities: Implement and optimize machine learning, computer vision, and numeric libraries for target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators. Work closely with software and hardware engineers to ensure optimal performance on target platforms. Implement low-level optimizations, including algorithmic modifications, parallelization, vectorization, and memory access optimizations, to fully leverage the capabilities of the target hardware architectures. Work with customers to understand their requirements and implement libraries to meet their needs. Develop performance benchmarks and conduct performance analysis to ensure the optimized libraries meet the required performance targets. Stay current with the latest advancements in machine learning, computer vision, and high-performance computing. Qualifications: BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE > 2 years of experience working in Algorithm Development, Porting, Optimization & Testing Proficient in programming languages such as C/C++, CUDA, OpenCL, or other relevant languages for hardware optimization. Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and accelerators, and familiarity with their programming models and optimization techniques. Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache optimization techniques. Experience with performance analysis tools and methodologies for profiling and optimization. Knowledge of deep learning frameworks and techniques is good to have Strong problem-solving skills and ability to work independently or within a team.

Posted 7 months ago

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