Diagnostics Firmware Engineer
Intel is hiring a Diagnostics Firmware Engineer in Bengaluru, India. Level rates it ; you can apply on Level.
AI in this role
Job Description:
Build the Future of AI and GPU ComputingAre you passionate about computer graphics, artificial intelligence, and solving complex hardware–software challenges? Join Intel’s Data Center Group and work with leading engineers, customers, and design partners to enable the next generation of discrete GPU and AI products.
We are seeking a Software Development Engineer with expertise in diagnostics, platform software, and AI workloads. You will design software used for silicon and board bring-up, hardware validation, system integration, manufacturing, benchmarking, and product optimization. Your work may span firmware, device drivers, operating systems, middleware, frameworks, algorithms, applications, and supporting tools.
What You Will 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.
Qualifications:
Minimum Qualifications- 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 offers the opportunity to work across the full technology stack, influence product architecture, collaborate with diverse experts, and deliver solutions that improve how advanced AI and GPU products are brought to life.
If you are excited by deep technical challenges and want your work to have visible impact across Intel’s AI and graphics portfolio, we invite you to apply.
Business GroupThis role is part of Intel’s Data Center Group (DCG), which designs and delivers technologies that power cloud computing and data-driven innovation across industries. DCG advances scalable, high-performance computing for demanding workloads and helps enable the next generation of AI solutions.
Job Type:
Experienced HireShift:
Shift 1 (India)Primary Location:
India, BangaloreAdditional Locations:
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.Position of Trust
N/AWork 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.How we rate this
Diagnostics Firmware Engineer at Intel rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
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- List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
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- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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