Join As AI Software Solutions Engineer At Intel | Apply Now

Join As AI Software Solutions Engineer At Intel | Apply Now

Join As AI Software Solutions Engineer At Intel | Apply Now

Job Overview:

CompanyIntel
Job RoleAI Software Solutions Engineer
Job IDJR0287966
Work LocationBangalore, India
Work ModeHybrid
Job TypeFull-Time
Experience3+ years
QualificationB.Tech / M.Tech / PhD
SalaryNot disclosed
ShiftShift 1 (India)
Careers Pagewww.intel.com

Skills: Python C++ Data Structures Algorithms PyTorch JAX TensorFlow Deep Learning

Join As AI Software Solutions Engineer At Intel | Apply Now

Build the future of AI technology with Intel in Bangalore!

Intel is hiring an experienced AI Software Solutions Engineer to optimize deep learning models and AI frameworks for cutting-edge hardware. This full-time hybrid role is based in Bangalore.

Who Can Apply?

  • Bachelors degree holders with 8+ years, Masters degree holders with 6+ years, or PhD holders with 3+ years of relevant industry experience.
  • Candidates with an academic background in Computer Science, Computer Engineering, Electrical Engineering, or related technical disciplines.
  • Professionals skilled in Python and C++ programming with strong knowledge of Data Structures and Algorithms.
  • Engineers experienced in working on large software projects and performance optimization.

About Intel:

Intel is a global technology leader focused on creating world-changing technology that enables global progress and enriches lives. The Data Center Group at Intel develops advanced data center and AI technologies that power major innovations across diverse industries.

What You Will Do as AI Software Solutions Engineer

  • Software Optimization: Propose optimizations in software and kernel implementation to improve overall workload performance.
  • Performance Modeling: Model AI hardware and software for performance analysis, analyze AI workloads, and estimate ideal kernel performance.
  • Toolkit Maintenance: Enhance and maintain the performance modeling toolkit for projections and correlate projected performance with devices or simulators.
  • Network Study: Study new and different deep learning networks to understand future optimization requirements.
  • Feature Design: Design and develop hardware-agnostic and hardware-aware software features for AI frameworks with a focus on machine learning kernel development.
  • Stack Enhancement: Enhance and extend deep learning training and inference capabilities within Intel's AI software stack.
  • Debugging: Debug and resolve functional and convergence issues across multi-layered software systems.

Skills Required:

Programming & Core. Strong proficiency in Python and C++ with a solid foundation in data structures and algorithms.

AI & Deep Learning. Experience with open-source frameworks like PyTorch, JAX, and TensorFlow for deep learning workloads.

Architecture & Optimization. Understanding of computer architecture, compiler fundamentals, and performance optimization techniques on modern hardware.

Basic Qualifications:

  • Bachelors with 8+, Masters with 6+, or PhD with 3+ years of relevant industry experience.
  • Degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline.
  • Strong programming skills in Python/C++ with expertise in Data Structures/Algorithms.
  • Knowledge of computer architecture and compiler fundamentals.

Preferred Qualifications:

  • Familiarity with AI algorithms like LLMs and deep learning serving frameworks such as vLLM, SGLang, and Hugging Face.
  • Advanced understanding of machine learning concepts and deep learning practices.
  • Knowledge of Intel hardware architecture including CPUs, GPUs, or AI accelerators.
  • Experience with developing and integrating CUTLASS or Triton-based kernels in large language models.

How to Prepare

Our tips, based only on what the listing asks for:

  • Brush up on core data structures, algorithms, and proficiency in Python and C++.
  • Revise computer architecture fundamentals, compiler basics, and hardware performance modeling concepts.
  • Familiarize yourself with deep learning frameworks like PyTorch, JAX, and TensorFlow along with inference serving tools.
  • Prepare to discuss your past experience with optimizing software or kernel implementations for AI workloads.

What the Listing Does Not Mention

  • No salary or compensation package is stated in the job listing.
  • No specific last date to apply is mentioned.
  • No total number of vacancies is specified.

How to Apply: Intel

  1. Click the apply link to visit the official Intel job portal.
  2. Review the job description and qualifications carefully.
  3. Sign in or create an account on the Workday portal.
  4. Fill out your personal details, upload your updated resume, and submit your application.

Do not wait—take the next step in your engineering career and apply today!

Important Links:

EventsLinks
Apply NowClick Here
Official Careers PageClick Here
Apply only through the official link.

Frequently Asked Questions:

What qualification is required?

Required qualification: B.Tech / M.Tech / PhD. See the eligibility section above for details.

Is this a fresher job?

No, this role requires a minimum of 3 to 8 years of relevant industry experience depending on your highest qualification.

Where is the job location?

The position is based in Bangalore, India.

What is the work mode?

The role follows a hybrid work model allowing a split between on-site and off-site work.

Do I need to pay any application fee?

No, Intel does not charge any recruitment or application fees.

Stay safe: Intel does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.

Source: the official Intel careers listing for this role.

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Disclaimer: This job post is for information only. All applications and questions should go to Intel through the official process.


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