AI Engineer Intern (+PPO)

Quadric; Mumbai; On-site; INR 167,000 - 335,000; Full time

Benefits offered by this job

PPO potential

Job summary

Quadric in Mumbai offers an AI/ML internship that blends software and hardware optimization. You will profile neural networks, analyze kernels, and craft code for accelerators.

Ideal candidates are enrolled in a CS/EE program with strong C/C++ and Python skills, a solid grasp of computer architecture, and hands-on debugging experience.

Qualifications

• Enrolled in a Bachelor’s, Master’s or PhD program in CS/EE or closely related discipline.
• Strong knowledge of C/C++ and Python.
• Clear grasp of how computer architecture maps software to hardware.
• Ability to trace bugs and solve complex technical problems systematically.
• Able to explain technical concepts clearly to teammates.

Responsibilities

• Profile and analyze performance of neural network models and kernels.
• Write optimized code in compiled languages for hardware-accelerated computing.
• Develop code for specialized compute platforms and acceleration frameworks.
• Debug complex interactions between software and processor architecture.

Skills

C/C++

Python

Computer architecture

Bug tracing

Communication

Education

Bachelor's / Master's / PhD program in CS/EE

Tools

CUDA

Triton-lang

NEON

Job description

Batch: 2027/2028.

About the role:

• Work on artificial intelligence and machine learning systems at the intersection of software and hardware optimization
• Profile and analyze the performance characteristics of neural network models and computational kernels
• Develop and refine code targeting specialized compute platforms and acceleration frameworks
• Contribute to projects that bridge high-level AI applications with low-level system efficiency

What you'll work on:

• Performance measurement and analysis of model inference and kernel execution
• Writing optimized code in compiled languages for hardware-accelerated computing
• Hands-on development using compute frameworks such as CUDA, DSP, NEON or Triton-lang
• Debugging complex interactions between software and underlying processor architecture

What we're looking for:

• Currently enrolled in a Bachelor's, Master's or PhD program in Computer Science, Electrical Engineering or a closely related discipline
• Deep technical knowledge of C/C++ and Python
• Clear grasp of how computer architecture functions and the way software maps to hardware
• Ability to solve intricate technical problems and trace bugs systematically
• Skill in explaining technical concepts clearly to teammates

Preferred background:

• Prior coursework or projects involving model inference profiling or kernel performance tuning
• Hands-on experience with assembly language
• Previous internship in hardware-focused software work or AI and machine learning optimization

Career growth:

• Strong performance may lead to a pre-placement offer (PPO)