Diagnostics Firmware Engineer

Overview

Design and develop diagnostic and AI software for Intel GPU and data center AI products, supporting silicon and board bring-up, hardware validation, system integration, manufacturing, and customer enablement.

What you'll do

• 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.

What you'll need

• 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.

Nice to have

• 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.

Details

• Location: Bangalore, India.
• Work model: Hybrid, splitting time between on-site at the assigned Intel site and off-site.
• Shift: Shift 1 (India).
• Job type: Experienced hire.