Job Details:

Job Description: 

If you are looking to make a huge impact for pivoting performance analysis tools for AI as part of Intel oneAPI and win worldwide AI software ecosystem on our Data Center platforms, then read ahead. This is a leadership engineering role in AI within Developer Software Engineering - Analyzer Engineering team. The role spans working with architects to expand, enhance performance analysis software products as part of oneAPI and 3rd party AI profilers. As AI software performance engineer, you will be involved in undertaking performance tuning and optimization of deep learning models based on TensorFlow and Pytorch using the knowledge to improve, develop and enhance our tools. Additionally, you will be expected to influence, develop new features for AI analysis in our tools. This is a high impact role working with internal, external customers and driving their success, while making Intel a world leader in AI.

Qualifications:

Qualifications Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor's with or Master's in Electrical Engineering or Computer Science or Computer Engineering or Physics or Mathematics or a related relevant Engineering discipline Experience working in Machine Learning or AI in one of the following roles: Developing / deploying models or implementing or performance benchmarking AI workloads Experience with performance benchmarking, performance profiling, workload analysis and optimization of an AI application Prior experience in deployment strategies , performance optimization, multi node, multi GPU scaling big plus Experience in one or more of the following areas: Tensor Flow, Pytorch, Numpy etc Excellent C++ programming skills and any one of the following C/Python/Bash/Scripting Languages Good to have knowledge of parallel programming technologies such as DPC++, MPI, OpenMP, OpenCL etc Enablement of new deep learning models from various domains in Intel OpenVINO toolkit Efficiency analysis of existing algorithms and finding areas for performance improvement Experience in deploying/ optimizing distributed training on CPU/ GPU clusters is a big plus Experience in low level software optimization, vectorization to maximize hardware utilization Excellent debugging skills with GDB/ WinDBG Preferred Qualifications: Experience in Linux/ Windows device driver development or embedded software development New hardware enabling experience through AI frameworks Strong production software engineering background, experience with CI, code reviews, paired programming, unit and integration testing Proficiency in working with UNIX/ Linux environments and command-line tools Self-motivated and adaptive to evolving requirements and able to contribute independently Ability to work in cross-geo Agile team environment and excellent communication skills

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

India, Hyderabad

Business group:

Do you want to impact how thousands of software developers around the world use Intel platforms? Join the Developer Software Engineering (DSE) organization and work on the latest technology enabling compilers, debuggers, analyzers, libraries, and parallel runtimes. You will develop industry-leading software which abstracts and showcases Intel platforms, extracts peak performance, and amplifies Intel business through our Hardware and Software developer communities.

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.