AI Software Solutions Engineer

JOB DESCRIPTION

A unique AI Software Solutions Engineer position combining leading-edge software engineering work on XPU - CPU, GPU, and NPU with SW/HW architectural influence and strong AI domain expertise to deliver industry leading solutions to the market.
In this role, you will work with leading software development companies, institutions, or open-source community as well as internal engineer teams to build and optimize AI use cases on Intel platforms ensuring they run best on Intel’s latest and upcoming client platforms, e.g., Laptops, PCs, and Workstations. You will need to utilize deep AI domain expertise to research, develop, and prototype software experiments that leverage and drive the adoption of Intel product capabilities with these partners.
The team works on many different use cases/applications, from digital content creation to content/media consumption, productivity, collaboration, and commercial applications. These use cases leverage hardware-accelerated (GPU) media and compute capabilities, offloaded and optimized ML/AI components (CPU/GPU/NPU), and, of course, need to use the latest and upcoming Intel CPU capabilities. You will support and influence software development during all phases of the development cycle, including feature definition, project setup, project execution, and go-to-market activities.
The position offers an excellent opportunity to advance the applicant’s leading-edge software engineering qualifications and develop strong project management and customer relationship skills. It provides a unique direct insight into key players in the software and IT industries. The AI Software Solutions Engineer position is a Software Engineer/Developer with a primary focus on delivering AI solutions to the market.

You will use your practical experience to offer technical training, consultation, and hands-on assistance to software developers in software architecting, code development, Intel software tools usage, testing, and tuning of software applications.

• You will engage with Independent Software Vendor (ISV) partners and be responsible for providing performance analysis and technical guidance throughout the software cycle.
• You will interface with Intel Engineering groups to resolve software-related problems that impede customer success.
• You will provide technical feedback to Intel Business Unit groups to enhance upcoming Intel platforms, technologies, and products.
• You will be the voice of the AI SW/HW ecosystem through researching emerging technologies, staying up to date on the latest advancements, and working closely with industry leaders to provide feedback to influence SW/HW architecture.

QUALIFICATIONS

This is an entry level position and will be compensated accordingly. You must possess the below minimum qualifications 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. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

MINIMUM QUALIFICATIONS:

• MS degree or equivalent BS degree and 3+ years of experience listed below in a scientific or engineering discipline with advanced experience in software development for Workstations, PCs, and Laptops.
• 1+ years of programming experience using C/C++ and Python.
• 1+ years of experience developing AI Software Solutions.
• 1+ years of experience with AI/ML concepts and prior exposure to AI frameworks such as: OpenVINO, PyTorch, TensorFlow, ONNX, etc.
• 1+ years of experience with CPU, GPU architecture or another processor, SoC, or DSP architecture is expected.
• Experience working in Windows environment.

PREFERRED QUALIFICATIONS:

• Experience in programming GPUs for GPGPU use cases using SYCL, Vulkan, CUDA, Metal, OpenCL, or equivalent.
• Experience in programming using Data Parallel C++.
• Experience working with Intel software tools like MKL, TBB, Intel C/C++ Compiler, GPA, VTune, etc.
• Experience in managing customer relationships.
• Experience in planning and execution of software projects, as well as in software testing, benchmarking, analyzing, and optimizing.

• Analyze, design, program, debug, and modify software enhancements and/or new products and client AI solutions.
• Understand customer requirements, align customer products with Intel roadmap.
• Ensure that software products released by leading software vendors run best on Intel’s latest and upcoming platforms and technologies.
• Monitor and evaluate the performance of AI Software Solutions including conducting workload and performance analysis on Intel or competitive platforms.
• Author technical info decks, papers, and training courses to provide development updates to internal stakeholders and to provide expertise to customers.
• Contribute to Intel SW and HW product development by providing tech feedback to Intel product and architecture teams.
• Contribute to Intel SW and HW training and inference capabilities through running workloads to identify optimization opportunities.
• 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.
• Researches 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 end to end 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 domains by leading application pre-enabling and product hardening.
• Delivers competitive and differentiated benchmark collateral and identifies and drives key workloads into product requirements and architects innovative projection methodologies and tools.