NPU Compiler Developer (C++)

Job Details:

Job Description:

The NPU Neural Network Compiler team is looking for a highly motivated software engineer with a graph theory background and problem-solving skills. Our team is working to utilise the OpenVINO toolkit and underlying MLIR infrastructure in order to redefine the limits of Neural Networks performance.

In this role, you will develop MLIR based compiler to optimise Neural Network models for state-of-the-art hardware accelerators. While achieving minimal power consumption and tremendous computing power, Intel AI accelerators are targeting daily use for millions of devices.

You will also play a pivotal role in developing and deploying new AI use cases for Intel client platforms in image classification, speech recognition, natural language processing and other areas. You will build machine learning workflows and infrastructure necessary to productise AI models and sustain them in production.

Key Responsibilities:

• Designs, develops, integrates, tests, validates, and/or debugs software to enable Intel product features to enable or utilise Artificial Intelligence, including machine learning and deep learning

• Understands internal and external partner software and develops software across the stack (spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications) as required to enable and optimise specific AI features, capabilities, solutions, reference platforms, or Intel products

• May work on developing reference AI software and improving or enabling customer designs to obtain the greatest value of Intel AI products, the development and/or optimisation of workloads for AI benchmarks, and workloads for simulation to support pre-Si power and performance analysis and architecture recommendations

Qualifications:

Minimum Qualifications:

• Strong C++ coding skills (3-4 years of experience)

• Familiarity with neural network architecture

• Familiarity with deep learning frameworks like TensorFlow or ONNX

• BS/MS in Computer Science or a similar field

• Experience with MLIR or LLVM

Nice to have:

• Experience in the development of graph algorithms, e.g., graph coloring, maximum cut, shortest path, etc.

• Experience in contributing in large-scale, multi-component software systems

• Analytical, mathematical, and algorithmic skills

What we offer:

At Intel, employees share in successes, enjoy comprehensive rewards and are inspired by an innovative & inclusive workplace. What can you expect when there is a match between us?

• We guarantee you will be working in a safe environment, in an organization which profoundly understands the current health situation worldwide. Either at your own home or in our premises if needed, the security and wellbeing of you and your family stands as our utmost responsibility.

• You will have constant opportunities to develop your professional career through technical and soft skills training, taking part in innovation projects or rotational programs

• Flexible working hours are important to us

• And our Amazing Benefits to make life easier and more enjoyable are waiting for you: Stock Program, Annual and Quarterly Bonuses, Employee Pension Plan, Medical Plan and life insurance for you and your Family, Peer to peer recognition, Ticket restaurant Card, Multisport Card / Holiday card, Groups of enthusiasts, Exclusive employee discounts, (online) events and many more.

• Rewards Experience @ Intel Poland: https://jobs.intel.com/pl/benefits

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Poland)

Primary Location:

Poland, Gdansk

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them.

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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.