Are you looking for an exciting opportunity in artificial intelligence, GPU architecture, and high-performance computing? Intel is hiring an AI System Performance Engineer for its Bengaluru, India location. This position is intended for college graduates and candidates with relevant experience in AI workload modelling, GPU architecture, computer architecture, and performance simulation.
The AI System Performance Engineer role offers an opportunity to work on the performance analysis of AI training and inference systems. The selected candidate will help develop analytical models, evaluate different GPU configurations, study communication patterns across multiple GPUs, and identify architectural bottlenecks that can affect AI workload performance.
For candidates with a background in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, this opportunity may be relevant to their career goals. Strong Python programming skills, knowledge of GPU and CPU architecture, and an understanding of large language model (LLM) workloads are important requirements for this position.
Intel’s job listing identifies this opportunity as a college graduate position and offers a hybrid work model, subject to the company’s applicable arrangements.
In this article, we cover the Intel AI System Performance Engineer Job Description 2026, eligibility criteria, required skills, job responsibilities, preferred technical knowledge, work location, and the official application link.
- 1 Intel AI System Performance Engineer Recruitment 2026 โ Overview
- 2 About the AI System Performance Engineer Job at Intel
- 3 What Does an AI System Performance Engineer Do?
- 4 Why Consider an AI System Performance Engineer Career at Intel?
- 5 Who Should Apply for This Intel Job?
- 6 Intel AI System Performance Engineer Salary
- 7 Work Location and Work Model
- 8 Final Words
Intel AI System Performance Engineer Recruitment 2026 โ Overview
Here are the important details of the job vacancy based on the supplied Intel job description.
| Job Information | Details |
|---|---|
| Company | Intel |
| Job Role | AI System Performance Engineer |
| Target Keyword | AI System Performance Engineer |
| Job Requisition ID | JR0288211 |
| Job Type | College Grad |
| Job Location | Bengaluru, India |
| Employment Type | Full-time |
| Experience | College graduate or 1+ years of relevant experience |
| Educational Qualification | B.Tech or Master’s degree in a relevant technical field |
| Required Programming Language | Python |
| Core Technical Areas | AI Workloads, GPU Architecture, Performance Modelling, Simulation |
| Preferred Knowledge | Distributed AI, LLM Inference, Multi-GPU Systems |
| Work Model | Hybrid |
| Shift | Shift 1 (India) |
| Salary | Not specified in the supplied job description |
| Application Mode | Online |
| Job Status | Check the official portal for current availability |
Candidates should review the official job page for the latest information because recruitment details and work arrangements may change.
About the AI System Performance Engineer Job at Intel
The AI System Performance Engineer position focuses on understanding how AI workloads perform across computing systems and using analytical models to estimate, investigate, and improve performance.
Modern AI applications depend on powerful computing hardware, memory systems, high-speed interconnects, and software frameworks. Training or running a large language model can involve substantial computation and communication between different processing units.
An AI system performance engineer studies these components to understand where performance limitations may occur. Rather than relying exclusively on physical hardware experiments, the engineer can use analytical models and simulators to estimate how different architectural choices may affect performance.
At Intel, the role includes modelling AI training and inference workloads, studying GPU architecture, evaluating memory and interconnect configurations, and recommending system configurations based on analytical results.
The engineer will also work with open-source simulators or analytical models and adapt them to represent Intel-specific architecture.
This position is particularly relevant to candidates interested in AI infrastructure, computer architecture, GPU performance, high-performance computing, and the systems that support large-scale artificial intelligence.
If you are searching for AI System Performance Engineer jobs in Bengaluru, Intel AI engineering jobs, GPU architecture jobs, or AI performance modelling careers, this vacancy may be worth reviewing.
What Does an AI System Performance Engineer Do?
An AI System Performance Engineer evaluates the relationship between AI workloads and the computing systems used to execute them.
For example, a large language model requires processing power, memory bandwidth, and efficient data movement during training and inference. If one component cannot keep pace with the others, it may become a bottleneck that limits overall system performance.
The engineer builds models to investigate these relationships and estimate how changes in hardware or deployment strategy could affect performance.
The work may involve:
- Modelling AI workloads in analytical simulators.
- Studying GPU cores, memory hierarchies, and system interconnects.
- Estimating performance for AI training and inference scenarios.
- Evaluating multi-GPU deployment and parallelization strategies.
- Modifying existing simulation tools for Intel-specific architecture.
- Comparing possible hardware configurations.
- Identifying architectural bottlenecks.
- Preparing performance estimates and optimization recommendations.
The purpose is to develop a clearer understanding of system behaviour and help guide architectural and deployment decisions.
Why Consider an AI System Performance Engineer Career at Intel?
The position combines software development, computer architecture, AI workloads, and performance analysis.
For candidates interested in the systems side of artificial intelligence, it offers exposure to problems that extend beyond model development alone.
The work described in the listing includes building analytical models, studying emerging GPU architectures, exploring multi-GPU deployment strategies, and producing recommendations for system configurations.
Potential areas of professional development include:
- AI infrastructure and system performance.
- GPU and computer architecture.
- Python-based analytical modelling.
- LLM training and inference.
- Multi-GPU systems and distributed computing.
- Performance analysis and architectural optimization.
The actual projects, team responsibilities, training opportunities, and career progression depend on Intel’s business needs and the position’s assigned work.
Who Should Apply for This Intel Job?
The position may be relevant to candidates who meet the educational requirements and have the technical background described in the listing.
Potential applicants include:
- B.Tech graduates in Computer Science or Computer Engineering.
- Master’s graduates in relevant technical disciplines.
- Electrical Engineering graduates with relevant architecture knowledge.
- College graduates with AI workload modelling or simulation experience.
- Early-career engineers with at least one year of relevant experience.
- Candidates with strong Python programming skills.
- Applicants familiar with GPU architecture, memory hierarchy, and LLM workloads.
- Candidates interested in AI systems, performance modelling, and high-performance computing.
Because the role requires specific technical knowledge, candidates should review the complete requirements before applying.
Intel AI System Performance Engineer Salary
The supplied job description does not specify a salary range for the AI System Performance Engineer position in Bengaluru.
Compensation may depend on the position’s level, the candidate’s qualifications, relevant experience, and Intel’s applicable compensation structure. Applicants should confirm the salary and benefits directly through the official recruitment process rather than relying on an unverified estimate.
Work Location and Work Model
The primary location for this position is Bengaluru, India.
Intel identifies the job as full-time and states that it is eligible for a hybrid work model, allowing employees to divide their time between working on-site at their assigned Intel location and working off-site.
The job listing also identifies Shift 1 (India). Candidates should review any updated work arrangements and employment conditions on the official application page.
Final Words
The AI System Performance Engineer position at Intel is an opportunity for technically qualified candidates interested in the performance and architecture of AI computing systems.
The role brings together Python programming, GPU architecture, analytical modelling, LLM workloads, and multi-GPU performance analysis. It may suit college graduates and early-career engineers who enjoy understanding how hardware and software interact and using technical models to investigate performance limitations.
If you are searching for AI System Performance Engineer jobs in Bengaluru, Intel engineering opportunities, GPU architecture careers, or AI performance modelling positions, review the requirements carefully and apply through the official portal if your qualifications match.
