GPU Software Development Engineer
Job Description
Qualifications
Minimum Qualifications
- Bachelor's degree with 8+ years of experience or Master's degree with 7+ years of software development or validation experience.
- Degree should be Computer Engineering or Computer Science
- 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 Claude, GPT, Opus, with proven ability to train these models for information retrieval and Agentic/Skill Workflow applications to design and deploy GPU Driver Val test content
- 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
- 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
Preferred Qualifications:
- Experience in Kernel Mode driver development, power management, memory management, scheduler, virtualization, and other components of kernel mode driver including Operating System Concepts
- 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, Prompt Engineering, Agentic and Skill based workflows automation
Job Type
Shift
Primary Location
Posting Statement
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.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Not included in the source posting: about the role, what you'll do, benefits.
Skills
Who can apply
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