Intel delivers leadership AI software (oneAPI AI Analytics toolkit and OpenVINO) and hardware products (Xeon, dGPU) to customers. We are looking for an AI Software Solutions Engineer with strong hands-on technical knowledge and strong interest and experience solving customer problems. The role focuses on enabling customers to be successful with Intel platforms through use of Intel AI Software. This is performed through technical consulting and support, training and customer presentations. You will have the opportunity to work in hands with customers to code, debug, optimize and finally scale their AI solutions. In this role you will help customers adopt Intel AI software like Intel-optimized Deep Learning frameworks (Tensorflow, Pytorch) Intel-optimized Classical Machine Learning libraries and OpenVINO (Intel Deep Learning Inference API). This is an exciting position which allows you to combine your AI software engineering experience with customer enabling and support via pre-sale and post-sale cycles and to influence strategic customers with Intel Software/Hardware solutions.
You will also help improve software quality and performance and infuse the voice of the customer into the software development process. You will as well advocate internally and externally for Intel AI software via conferences and technical collaterals that demonstrate Intel software tools usage. In this position, you will have the chance to foster Intel's AI software ecosystem. You will partner with technical experts across Intel to drive successful outcomes for AI customers.
This position is available full time and part time. This is because we want to hire the best people for our roles, and we recognize that sometimes those people are not available full-time.
Your benefits:
You will become part of a company which continues to change the world through its brilliant people. To reward the amazing contributions of our people we offer a market competitive compensation & benefits package including plenty of family and flexible work benefits (i.a. the opportunity for Hybrid-work), programs that focus on your health and wellbeing, many development opportunities and enough time to relax, re-charge and retreat.
Qualifications
Required Skills:
Master's degree with 3+ years or PhD in Computer Engineering, Computer Science, Electrical Engineering or other relevant science or engineering discipline
2+ years experience working in Machine Learning or Deep Learning in one of the following roles: development, architecture, implementing, or performance benchmarking of AI workloads
2+ years working experience with deep learning frameworks such as Tensorflow, Pytorch
Knowledge of classical Machine Learning algorithms
Coding Experience with Python and C++
Strong problem solving and debugging skills
Ability to communicate and present clearly to technical and non-technical audiences
Collaboration skills and the ability to work in a team environment
Proficiency in English
Preferred Qualifications:
1+ year working experience with classical ML libraries: scikit-learn, xgboost, ...
Knowledge and experience deploying, optimizing distributed training on CPU and GPU clusters
Experience using Intel Software development libraries such as oneDNN, oneMKL, oneDAL, OpenVINO, etc.
Good presentation skills at conferences, industry events, labs, and customer workshops are a plus
Prior experience working directly with customers is a big plus
Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.
Work Model for this Role
This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.
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