AI Systems Engineer - Deep Learning Infrastructure (Freshers)

Location: Mandaveli, Chennai
Experience: 0-1 Years
Salary: 6-10 Lacs P.A.
Vacancies: 12
Batch: 2025, 2026
Employment Type: Full Time

About the Role

We are building the core systems infrastructure required to train and operate large-scale AI models. This role focuses on deep systems engineering at the intersection of compilers, distributed systems, and high-performance computing. You will work on designing and building the software stack that powers large-scale AI training, starting from first principles.

Education

  • B.Sc / BCA / B.Tech in Computer Science, AI, Data Science, or related fields

Key Responsibilities

  • Design and implement deep learning compiler stacks on MLIR infrastructure
  • Develop graph transformations, operator lowering, and code generation pipelines
  • Build compiler optimizations for heterogeneous compute environments
  • Build core components of AI frameworks and execution runtimes
  • Design training orchestration and model execution systems
  • Implement high-performance compute kernels
  • Optimize compute and memory utilization across GPU architectures
  • Improve performance through kernel fusion, memory locality, and scheduling
  • Design systems for multi-node distributed training
  • Work on communication efficiency, synchronization strategies, and scaling behavior
  • Investigate numerical behavior of large-scale neural networks
  • Develop techniques for model compression, sparsity, and efficient training

Requirements

  • Strong programming ability in C, C++, or Java
  • Deep understanding of low-level systems concepts including memory management, pointers, data layout, and performance optimization
  • Ability to reason about complex systems and performance bottlenecks
  • Strong analytical thinking and problem-solving capability
  • Strong mathematical foundation in linear algebra, probability, calculus, and statistics

Added Advantage

  • +Experience or interest in compiler design and compiler internals
  • +CUDA and GPU programming experience
  • +High-performance computing (HPC) background
  • +Understanding of computer architecture and operating systems
  • +Experience with parallel and distributed systems
  • +Knowledge of memory hierarchy and performance optimization
  • +Familiarity with deep learning frameworks and model architectures

Why Join BluBridge?

  • ✓Work in an environment focused on building AI systems from first principles
  • ✓Gain exposure to the entire deep learning systems stack
  • ✓Access to multi-node GPU clusters and high-performance compute infrastructure
  • ✓Opportunity to contribute to large-scale AI infrastructure and foundation model development
  • ✓Collaboration with engineers working on GPT-scale dense models

Skills

  • Java
  • Data Science
  • AI
  • ML
  • C++
  • Generative AI
  • Artificial Intelligence
  • NLP
  • Research
  • LLM
  • Machine Learning
  • Deep Learning
  • Python

Ready to Join Our Team?

Apply now and be part of BluBridge's mission to build the future of AI.