What is the salary for this role?

Intel has not stated compensation in the listing. Check the original posting or ask during the application process.

Is the AI System Performance Engineer position remote, hybrid or onsite?

The listing gives India, Bangalore as the location and does not state a work mode.

What is the application deadline?

Intel has not listed a fixed deadline, so apply early in case the opening is filled.

How do I apply for the AI System Performance Engineer role?

Use the Apply button on this page. It opens the original listing on intel.wd1.myworkdayjobs.com, where you submit your application with the company.

Company Careers · Posted 22 Oct 2026

full-time

Top Company

AI System Performance Engineer

Intel · India, Bangalore

Job Details: Job Description: About the Role We are looking for a talented and motivated AI System Performance Engineer. The role builds a strong understanding of AI training and inference systems and helps the team develop analytical models that project end-to-end system performance. Working across serving strategies, parallelism, collective communication, and interconnect behavior, the candidate uses these models to locate the architectural bottlenecks that limit performance and to recommend optimal system configurations for Intel architecture. A self-driven, hands-on learning by doing mindset and the ability to pick up unfamiliar workloads, tools, and architectures quickly are essential. Key Responsibilities • Enable new AI workloads in analytical simulators, and model emerging multi-GPU deployment, parallelization, and communication strategies as simulator capabilities. • Build analytical models of newly proposed GPU architectures - GPU core, memory hierarchy, and training/inference deployment scenarios - and produce performance estimates that expose architectural bottlenecks and drive improvement recommendations. • Integrate and modify open-source simulators or analytical models for Intel-specific architecture. • Perform what-if analysis by sweeping core count, memory/cache capacity and bandwidth, fabric bandwidth, GPU interconnect, and deployment options; deliver optimization and optimal architecture recommendations. Qualifications: Required Qualifications • BTech or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. • College graduate or 1+ years of experience in AI workload and GPU architecture modelling/simulation or a similar field. • Strong proficiency in Python, with the ability to build modular, maintainable analytical models and simulation frameworks. • In-depth understanding of computer architecture: GPU/CPU, ALU/SM core, cache, and different memory types and hierarchy. • In-depth understanding of LLM AI workloads (Transformer, MoE, Attention, MLA - LLaMA, DeepSeek, Qwen, and robotic workloads) and kernel internals. Good-to-Have Skills • Understanding of distributed training/inference and parallelism strategies - data, pipeline, tensor, and expert - and their communication patterns when scaling across multi-GPU hardware. • Understanding of LLM inference and training mechanics: prefill vs. decode, KV cache, batching policies, and quantization. • Exposure to TRT-LLM, vLLM, or SGLang. • Familiarity with Git/GitHub, CI/CD, and automated workflows. • Understanding of power fundamentals and power/performance co-optimization. Job Type: College Grad Shift: Shift 1 (India) Primary Location: India, Bangalore Additional 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/A 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.

Role	AI System Performance Engineer
Company	Intel
Location	India, Bangalore
Type	full-time
Compensation	Not disclosed
Posted	2026-10-22
Deadline	Rolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

1ApplicationSubmit your resume through the apply link.
2ScreeningRecruiter reviews your background against the role.
3AssessmentA technical test, assignment, or coding round, depending on the role.
4Interview(s)One or more rounds with the hiring team.
5OfferOffer letter with compensation and start date.

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