Diagnostics Firmware Engineer

• Design, develop, integrate, and validate diagnostic and AI software for Intel GPU and data center AI products.
• Build board-level and system-level diagnostics for silicon bring-up, hardware validation, system integration, manufacturing, and customer enablement.
• Create capabilities ranging from low-level hardware access to full-feature stress, performance, and functional testing.
• Collaborate early with silicon, board, system, firmware, driver, validation, and customers to define diagnostic requirements and strategy.
• Own the full software lifecycle, including definition, architecture, development and maintenance.
• Develop and optimize AI workloads, benchmarks, simulations, and reference software to support power, performance, and architecture analysis.
• Debug complex system-wide issues involving interactions between hardware and software.
• Develop tools and infrastructure that improve profiling, optimization, productization, and engineering efficiency.
• Partner with internal and external stakeholders to deliver integrated, production-ready solutions.
• Drive innovative approaches that make Intel's AI and GPU diagnostics best in class.

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Electronics Engineering, or a related field with 4+ years of relevant experience; or a master's degree with 3+ years of relevant experience; or a PhD.
• Strong programming skills in C, C++, and Python.
• Experience developing platform software, firmware, device drivers, diagnostics, or other low-level software.
• Solid understanding of software development practices, including design, debugging, testing, validation, and optimization.
• Strong knowledge of hardware and software engineering concepts, diagnostic test methods, and debug techniques.
• Ability to solve complex problems that span hardware, firmware, drivers, and applications.
• Clear communication, sound decision-making, and effective collaboration across global, cross-functional teams.

• Hands-on experience developing diagnostic software for GPU, AI accelerator, data center, or other complex compute products.
• Understanding of board-level and chip-level architecture, board design processes, and hardware testing.
• Experience working closely with hardware and electrical engineering teams during product development and debug.
• Knowledge of GPU architecture, memory, PCIe, and high-performance computing systems.
• Experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.
• Experience developing or optimizing AI workloads for benchmarking, simulation, or pre-silicon power and performance analysis.
• Demonstrated ability to lead complex technical work, learn new technologies independently, and turn ambiguous challenges into practical solutions.

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.

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