GPU Software Development Engineer

Overview

Develop and validate GPU graphics software, tools, automated tests and AI solutions across the product lifecycle, from pre-silicon emulation and simulation through post-silicon product launch. Work across hardware and software architecture, design, simulation, development and validation to deliver high-performing, scalable and power-efficient solutions.

What you'll do

• Develop complex test tools and automated tests for Kernel Mode drivers, Memory Managers, graphics virtualization and compute application automation at scale.
• Develop AI solutions and use modern GenAI technologies to implement advanced AI solutions for domain-specific content.
• Work on Intel software graphics, media and display driver solutions across client, server and embedded markets.
• Contribute across all phases of design, from pre-silicon emulation and simulation through post-silicon product launch.
• Address functionality, power, performance and debuggability.
• Work with OS Microsoft, BIOS, hardware, Customer Engineering and multiple Graphics Software teams.
• Work across hardware and software architecture, design, simulation, development and validation throughout the product lifecycle.

What you'll need

• Bachelor's degree with 8+ years of software development or validation experience, or Master's degree with 7+ years of software development or validation experience.
• Degree in Computer Engineering or Computer Science.
• Hands-on experience with one or more programming languages, including C/C++, and/or scripting languages, including Python.
• Proficiency in AI/ML frameworks, including TensorFlow, PyTorch, Keras and scikit-learn.
• Experience defining validation strategy and test plans, developing automated tests and driving debug for issue resolution.
• Knowledge of Generative AI and LLMs such as Claude, GPT and Opus, with proven ability to train these models for information retrieval and Agentic/Skill Workflow applications to design and deploy GPU Driver Validation test content.
• Strong experience with graphic drivers, GPU hardware and low-level GPU programming.
• Ability to understand Intel Graphics hardware and relevant specifications needed to develop and validate 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.

Nice to have

• Experience in Kernel Mode driver development, power management, memory management, scheduler, virtualization and other components of Kernel Mode drivers, 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 using AI/ML techniques with structured and unstructured data.
• Knowledge of LLM fine-tuning techniques such as LoRA and PEFT, usage of pipelines, and techniques such as RAG, Prompt Engineering, Agentic and Skill-based workflows automation.

Details

• Location: Bangalore, India.
• Hybrid work model, allowing employees to split their time between working on-site at their assigned Intel site and off-site.
• Shift 1 (India).