Lead Compiler Design

Mulya Technologies

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

An innovative startup is seeking a highly skilled Verification Engineer to tackle performance challenges in AI workloads. This role involves developing and optimizing compiler toolchains, integrating with ML frameworks, and enhancing system performance. The ideal candidate will have extensive experience in compilers, systems programming, and AI infrastructure. Join a dynamic team that is shaping the future of AI technology and making a significant impact in the industry. If you are passionate about solving complex problems and driving technological advancements, this opportunity is perfect for you.

Qualifications

10-15 years of experience in compilers and AI infrastructure.
Deep knowledge of hardware-software co-design and performance modeling.

Responsibilities

Develop and enhance compiler toolchains for AI accelerators.
Conduct performance tuning and system analysis for compiler and runtime.

Skills

C/C++

Python

Compiler Internals

AI/ML Workloads

Parallel Computing

Education

Bachelor’s in Computer Science

Master’s in Electrical Engineering

Tools

LLVM

MLIR

PyTorch

TensorFlow

Job description

1 day ago Be among the first 25 applicants

Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/Bangalore

A US based well-funded product-based startup looking for Highly talented Verification Engineers for the following roles.

We are looking for a highly experienced systems engineer with deep expertise in compilers, machine learning infrastructure, and system-level performance optimization. This role is hands-on and research-driven, ideal for someone who thrives on solving low-level performance challenges and building core infrastructure that powers next-generation AI workloads.

Key Responsibilities:

Develop and enhance compiler toolchains based on LLVM, MLIR, Open64, or Glow.
Build and optimize intermediate representations, custom dialects, and code generation flows for AI accelerators.
Implement transformations and optimizations for latency, memory usage, and compute efficiency.
AI System Integration
Work closely with hardware teams to co-design compilers targeting custom silicon.
Integrate compiler backends with ML frameworks like PyTorch, TensorFlow, or ONNX.
Build graph-level and kernel-level transformations for AI training and inference pipelines.
Performance Tuning & System Analysis
Conduct low-level profiling and performance tuning across compiler and runtime layers.
Identify and eliminate bottlenecks across CPU/GPU/NPU workloads.
Develop parallel programming solutions leveraging SIMD, multi-threading, and heterogeneous computing.
Tooling & Infrastructure
Develop tooling for performance analysis, debug, and test automation.
Contribute to internal SDKs and devkits used by AI researchers and system engineers.

Required Skills & Experience:

Proficiency in C/C++, with solid command of Python for tooling and automation.
In-depth understanding of compiler internals, including IR design, lowering, codegen, and scheduling.
Deep knowledge of hardware-software co-design, particularly for AI/ML workloads.
Experience with runtime systems, memory models, and performance modeling.
Solid grasp of parallel and heterogeneous computing paradigms.

Nice to Have:

Experience working with custom AI hardware or edge inference platforms.
Familiarity with quantization, scheduling for dataflow architectures, or compiler autotuning.
Contributions to open-source compiler projects (e.g., LLVM, MLIR, TVM).

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
10–15 years of relevant hands-on experience in compilers, systems programming, or AI infrastructure.

Contact:

"Mining The Knowledge Community"

Seniority level