About Us

We are a tech company specializing in the design and development of cutting-edge, customized server hardware solutions optimized for artificial intelligence and machine learning applications. Our mission is to empower businesses and researchers to accelerate their AI initiatives by providing them with high-performance, scalable, and energy-efficient hardware infrastructure.

As a rapidly growing company at the forefront of AI hardware innovation, we are constantly seeking talented and motivated individuals to join our team. We offer a dynamic and challenging work environment, with opportunities to make a significant impact on the future of AI technology.

You'll Collaborate With

Silicon, firmware, runtime, datacenter-software and architecture teams to build a mlir-compiler and software stack that brings next-gen AI/NPU hardware into modern datacenter environments and production AI workloads.

What You'll Own

Define and implement MLIR dialects and lowering pipelines targeting our AI-accelerator/NPU platform.
Lower ML graphs (e.g., from ONNX/PyTorch)



into optimized kernels focusing on fusion, tiling and vectorization.
Profile, benchmark and optimize compiler output to meet latency, throughput and power targets.
Work with hardware architects and runtime/framework teams to co-design compiler features.
Build a future‐ready, portable compiler stack that supports multiple hardware generations.

Minimum Qualifications

5+ years of experience in compiler engineering or high‐performance systems.
Solid programming skills in C++ (modern standards), and scripting or tooling in Python.
Hands-on experience with MLIR and/or LLVM (designing/extending dialects, lowering, optimization).
Deep understanding of compiler internals: IRs, code scheduling, vectorization, loop transformations.
Strong familiarity with AI/ML frameworks (e.g.,PyTorch, ONNX, TensorFlow).
Excellent understanding of ML operations such as tensor operators, matmuls, quantization, dynamic shapes.
Robust u

📌 Compiler Engineer (Bengaluru)
🏢 Evollabs Tech
📍 Bengaluru