Job Details:

Job Description: 

Are you passionate about exploring computer architecture for AI? Are you excited about squeezing every cycle of performance through software optimizations? CCG's Software and AI (SAI) organization is seeking an experienced and highly motivated world-class software developer to join us and optimize open source AI frameworks, libraries and models on Intel accelerators. In this role, you will have opportunity to democratize AI by working with hundreds of thousands smart developers in open ecosystem and make a big technical impact in open source AI frameworks and libraries such as OpenVINO, ONNX Runtime, PyTorch etc.

 

Our team focuses on the architecture, design, development, integration, and validation of AI framework features that optimizes the power/ performance of deep learning workloads that run on client platforms. You will become part of a high-performing, agile team of architects, developers, test automation engineers, and validation specialists who are dedicated to delivering the highest quality in Intel products.

 

What You'll Be Doing

• Designing, developing, and optimizing AI software with a focus on contributing to open-source deep learning frameworks like OpenVINO and ONNX Runtime, PyTorch
• Design and develop features to get Intel accelerators CPUs/GPUs/NPUs optimized in open-source AI frameworks.
• Enabling and optimizing AI models on Intel accelerators.
• Explore and expand the boundary of innovative technologies for peak performance.

 

You’ll be expected to:

• Collaborate with development teams to design, implement, and validate AI algorithms and models.
• Support the development and refinement of AI applications, tools, and frameworks.
• Conduct research on emerging AI technologies and assess their applicability in open-source environments.
• Participate in code reviews, debugging, and troubleshooting efforts to enhance performance and reliability of AI systems.
• Maintain AI algorithms, core software components, and associated documentation.
• Stay current on the latest advancements in AI frameworks, tools, and methodologies to continuously improve development practices.

 

 

The ideal candidate will exhibit behavioral traits that indicate:

 

• Ability to work in a team-oriented environment, collaborate effectively, and contribute to problem-solving discussions.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent verbal and written communication skills.
• A proactive and self-motivated approach to learning and keeping up with the latest trends in AI development

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. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum Qualifications:

• Bachelor's degree in Computer science, engineering, or a related field with a strong focus on AI and machine learning with 3+ years experience
• OR Master's degree in degree in Computer science, engineering, or a related field with a strong focus on AI and machine learning with 2+ years experience
• Strong programming skills in C, C++, and Python and libraries like PyTorch, TensorFlow, ONNX Runtime, and OpenVINO
• Familiar with AI frameworks
• Experience with designing software architecture, interfaces and abstraction

Preferred Qualifications:

• Background with deep learning fundamentals, AI frameworks, graph compilers, etc.
• Solid understanding of AI concepts, algorithms, and methodologies.
• Experience in developing/optimizing deep learning frameworks such as PyTorch , TensorFlow, ONNX Runtime, OpenVINO etc.
• Familiarity with enabling or optimizing  LLM and Generative AI workloads
• Track record of maintaining or contributing to open source projects.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Arizona, Phoenix

Additional Locations:

US, California, Folsom, US, California, Santa Clara, US, Oregon, Hillsboro

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. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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

Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here:

https://jobs.intel.com/en/benefits

Annual Salary Range for jobs which could be performed in the US:

$149,750.00-$211,420.00

Salary range dependent on a number of factors including location and experience.

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. * Job posting details (such as work model, location or time type) are subject to change.