The Intel Software and Advanced Technology Group's Microsoft Technology Center (MTC) delivers innovative, high quality software that differentiates Intel products and maximizes customer value. MTC's mission is to ensure Microsoft operating environments, tools, and key applications run best on Intel architecture and Intel architecture is best designed for them. Our SW work translates into faster and more efficient code execution on Intel CPUs, GPUs, and NPUs (Neural Processing Units) for our customers running on Edge, Client, Server, and Cloud in Microsoft ecosystem.
By joining MTC, you'll be part of the team with the closest relationship to Microsoft architects and engineers and deepest technical knowledge in Microsoft products and services at Intel, built on trust and decades of joint collaboration. We are platform innovators, leading industry, standards-definition to scale-quality OEM designs and are the bridge that connects every product that Intel builds with Microsoft technologies.
In this role, you will contribute towards AI framework optimizations in the Windows ecosystem, with focus on ONNX Runtime and DirectML. You will have the opportunity to analyze and optimize compute graphs, develop, and optimize kernels to deliver optimized inference on GPUs. You will develop software optimizations that help influence our partners to adopt leading edge Intel features. In addition, you will bring software and workload knowledge to help influence the future roadmap to build the best client products. This is an excellent opportunity to bring new ideas and innovation to a high performing team and deliver exceptional results through this highly visible role. We invite you to join our team and help us continue to develop synergistic relationships with our key partners by delivering Intel-differentiated value through software.
Join our community to delight our customers as we lead the AI PC revolution!
Responsibilities include, but are not limited to:
Engage with external partners, as well as internal Intel teams to understand the use case for new technologies and opportunities for Intel
Evaluate new Intel technologies like storage, memory, security by creating Proof of concepts and present the findings to our partners as well as Intel architects
Use performance methodologies to improve Intel's hardware and optimize software stack to ensure best performance on IA
Communication and stakeholder management skills, able to negotiate and resolve conflict within all levels of the organization towards to a win-win/best for business solution
Tolerance to ambiguity, build consensus across organization and having a proactive approach to manage changes to deliver to tight milestones
Demonstrated discipline attentiveness to detail and the ability to work under limited supervision
Capable of handling multiple assignments in a timely manner while meeting assigned deadline.
Strong business acumen skills.
Behavioral traits that we are looking for:
Be a team player, contribute to an inclusive work environment and overall growth of the team through respect, knowledge sharing, and finding new opportunities for the team
-Good verbal, written and presentation skills to influence management and technical stakeholders across Intel and Intel partners.
Continuous improvement and problem-solving techniques.
Make decisions that move the project forward.
Must be dynamic and creative, willing to rethink the proposed solutions and innovate in the process.
Excellent analytical skills.
Motivation to learn new technologies
You must possess the below minimum qualifications to be initially considered for this position. The following preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
-MS or PhD graduate at Computer Science, Computer Engineering, or related field. (Electrical Engineering with Software background, BS with relevant experience will be considered too)
-4+ years of Industry experience and developing high quality code in C/C++, Python, C# or similar programming language
-2+ years of experience in deep learning models, with understanding of common model architectures, numeric, and data types, and model optimization techniques (fusions, sparsity, quantization, compression, etc.)
-2+ years of experience in parallel computing and performance engineering
-Candidate must have permanent unrestricted right to work in Costa Rica
-Intermediate to Advanced English level
Preferred Qualifications:
-Background in modern CPU, GPU architectures, runtimes, compiler code generation, multi-threading. Intel Xeon architecture is a plus.
-Kernel development experience with HLSL, CUDA, OpenCL, etc. HLSL a plus
-Software optimization, benchmarking, compiler, runtimes and AL/ML background
-Knowledge of Deep Learning Runtimes and frameworks like TensorFlow, PyTorch, ONNX Runtime
-Experience with framework development, performance (latency/throughput) analysis and optimizations a big plus
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.