Job Details:

Job Description: 

Works with internal engineering teams and external partners, customers, and ISVs to deliver optimized AI solutions using Intel products with the goal of driving adoption of Intel products. Research technical trends and utilizes deep domain and market segment expertise to prototype solutions and develop AI software including open source libraries and models. Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. Researches, develops, and adjusts new or existing AI models, code, parameters, and/or quantization to address issues and modify operations to enhance performance. Partners with AI algorithm and framework engineers as needed to optimize endtoend AI models to Intel hardware features. Serves as a trusted technical advisor and provides technical enabling. Partners with Intel software and hardware product development teams to accelerate and optimize future products in AI and HPC domains by leading application preenabling and product hardening. Delivers competitive and differentiated benchmark collateral and identify and drive key workloads into product requirements and architect innovative projection methodologies and tools.

Qualifications:

� Bachelors / master's degree in computer science, Electronics Engineering, Mathematics, or related field of study.
� Experience Level: 8 yrs to 14 yrs
� Execution of ML/DL/AI models on PyTorch or MxNet frameworks or any other Franework, integration to proprietary validation frameworks, loss and performance analysis, regression tracking .
� Expertise in numeric analysis, loss/accuracy, and performance debug in validation Environment
� Strong experience in DL with Python, NumPy, Scikit, Pandas, PyTest and/or Google Test framework for validation.
� Strong C++ programming skills (C++11, STL)
� 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.
� Candidate should be quick in automation for efficiency improvement.
� Proficiency in Version control tools like GIT, GITlab, Gerrit Reviews
� Proficiency in dockers, Kubernetes, ansible, VM's
� Experience in distributed training/inference (scale up and scale out, hpc/gpu) scenarios with expertise in test scenario development, debug, tools, performance/accuracy measurement, open-src distributed suite handling, fabric - Ethernet/InfiniBand etc, protocols - mpi/pytorch launcher/torchrun/horovod/deepspeed etc
� Expertise in the validation of deep-learning dataloaders and datasets, understanding of dali and image/video codecs like jpeg/h264/hevc/av1, image augmentation, image processing, quality assessment (psnr/ssim), ffmpeg, encoder bit-rate control etc.
� Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release
� Problem-solving skills, quick learner and a can-do attitude are the key in this role.
� Experience in working closely with development, Architecture and DevOps teams.
� Fluent English writer/speaker.

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

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 technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.