GPU Software Development Engineer

Job Description

Are you passionate about software validation, developing tools and AI Solutions, automating software validation process at scale or data processing? Then Client Graphics has opportunities for you. Our Graphics validation team is creating AI solutions, complex test tools and automated tests for Kernel Mode driver, Memory Managers, Virtualization and graphics/compute apps automation at scale. We deliver Intel's Software Graphics, media, display driver solutions across client, server and embedded markets.

This position requires involvement in all phases of design from pre-silicon emulation/simulation through post-silicon product launch, covering aspects of functionality, power and performance and debuggability. You will also get opportunities to work on innovation projects utilizing modern GenAI technologies to implement advanced AI solutions to domain specific content. In this position, you will have the opportunity to work with multiple teams such as OS (MSFT), BIOS, HW, Customer Engineering, multiple Graphics SW teams etc. The candidate should have passion for technology and software, outstanding communication and teamwork skills. In this position you will be responsible for working across Hardware and Software Architecture, Design, Simulation, development and Validation throughout the product lifecycle to deliver high performing, scalable and power efficient hardware and software solutions.

Behavioral skills we are looking for:

• Strong attention to technical details, data analysis, documentation, problem solving and influencing skills, along with ability to work with different geographical locations

• Strong written and verbal communication skills

• Desire and ability to quickly learn and gain new knowledge

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.

Minimum Qualifications:

Bachelor's degree in Computer Engineering, Computer Science or in Electrical Engineering with 6+ years of relevant software development or validation industry experience, or

Master's degree in Computer Engineering, Computer Science or in Electrical Engineering with 4+ years of relevant software development or validation industry experience.

Experience should be in at least 5 of the following:

• Hands on experience with one or more programming languages (C/C++) and/or scripting languages (Python)

• Proficient in AI/ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn)

• Experience in defining validation strategy and test plans, developing automated tests, driving debug for issue resolution

• A good understanding of Generative AI and LLMs: Possess knowledge of Generative AI and LLMs like BERT, GPT, and Megatron, with proven ability to train these models for information retrieval and RAG applications.

• Develop and implement data pipelines: Write efficient, scalable Python code to collect, clean, and prepare data for LLM's and testing.

• Design and build RAG-based systems: Utilize open-source frameworks like LlamaIndex, LangChain, and Malevis to create Retrieval-Augmented Generation (RAG) systems.

• Strong experience with graphic drivers, GPU hardware and low level GPU programming

• Ability to understand Intel Graphics HW and relevant specifications needed to develop/validate the software

• Experience working in systems (hardware/software) product development teams

Preferred Qualifications:

• Experience in power management, memory management, scheduler, virtualization, and other components of kernel mode driver

• Strong development experience in C/C++/Python

• Familiarity with customization techniques at any level of the RAG pipeline such as model fine tuning, retrieval re-ranking, and hierarchical node parsing

• Proven skills in using AI/ML techniques using structured and unstructured data

• Knowledge of LLM fine tuning techniques like LoRA, PEFT, usage of pipelines, and other techniques like RAG, and Prompt Engineering.

Inside this 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.

Other Locations

US, Santa Clara

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.

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.



Annual Salary Range for jobs which could be performed in US, California: $123,419.00-$185,123.00
*Salary range dependent on a number of factors including location and experience

Working Model

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.