AI System Performance Engineer

Round 1: Online coding assessment (DSA & basic algorithms) → Round 2: Technical interview (system design, performance analysis, AI concepts) → Round 3: HR interview (fitment, communication, career goals)

Intel is known for a collaborative culture that encourages innovation and continuous learning. Employees benefit from structured career growth, flexible work arrangements, and a strong emphasis on work‑life balance, supported by various employee resource groups and mentorship programs.

Intel’s interview process typically starts with a timed online coding test focusing on data structures, algorithms, and basic problem‑solving. Successful candidates move to technical rounds where they discuss system performance concepts, AI workload optimisation, and may be asked to solve a live coding problem. The final HR round evaluates cultural fit, communication skills, and career aspirations. Overall difficulty is moderate to high, and thorough preparation of core CS fundamentals and Intel’s technology stack is essential.

B.Tech or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline; minimum 60% aggregate (or CGPA 6.5/10); batch year 2025; no active backlogs at the time of joining; eligibility for campus recruitment as per Intel policy.

Intel Corporation, a global leader in semiconductor manufacturing and computing innovation, has a long‑standing reputation for shaping the future of technology. With a presence in more than 60 countries, Intel invests heavily in research and development, delivering cutting‑edge products ranging from processors and AI accelerators to cloud‑centric solutions. The company’s culture emphasizes curiosity, collaboration, and a relentless focus on performance, making it an attractive destination for engineers who want to work on products that impact billions of users worldwide. Intel’s Bengaluru campus serves as a hub for AI, data‑center, and system‑level engineering, offering fresh talent exposure to world‑class projects and mentorship from industry veterans. The role of AI System Performance Engineer is designed for recent graduates eager to dive into the performance optimisation of AI workloads on Intel hardware. As a performance engineer, you will be responsible for measuring, analysing, and improving the efficiency of AI models running on CPUs, GPUs, and specialized accelerators. You will work closely with software developers, hardware architects, and data scientists to identify bottlenecks, develop profiling tools, and propose architectural enhancements. This position provides a unique blend of software engineering, systems analysis, and AI knowledge, making it an ideal launchpad for a career in high‑performance computing. Key Responsibilities: 1. Conduct end‑to‑end performance profiling of AI workloads on Intel platforms. 2. Analyse trace data to pinpoint compute, memory, and I/O bottlenecks. 3. Develop and maintain scripts and tools for automated benchmarking. 4. Collaborate with hardware teams to suggest micro‑architectural improvements. 5. Work with software teams to optimise libraries such as oneDNN, TensorFlow, and PyTorch. 6. Prepare detailed performance reports and present findings to cross‑functional stakeholders. 7. Participate in code reviews and contribute to best‑practice documentation. 8. Stay updated with the latest AI frameworks and Intel’s hardware road‑map. 9. Assist in the creation of reference implementations for customers. 10. Support internal and external customers during performance‑related issue resolution. Tech Stack: Linux, C/C++, Python, Bash, performance profiling tools (VTune, Perf), AI frameworks (TensorFlow, PyTorch), Intel oneAPI, GPU drivers, Git. Growth Path: Successful engineers can progress to Senior Performance Engineer, Lead System Architect, or move into specialized AI research roles within Intel’s AI Labs. The exposure to both hardware and software layers equips you with a versatile skill set valued across the tech industry. Why Join Intel? You will be part of a world‑renowned technology powerhouse, work on real‑world AI challenges, receive mentorship from seasoned experts, and enjoy competitive compensation along with a vibrant, inclusive work environment that encourages continuous learning.