Specialist - Cloud Engineering

LTM; Bengaluru; Presencial; INR 1.800.000 - 2.400.000; Jornada completa

Descripción de la vacante

LTM in Bengaluru is seeking expert-level GPU Software Engineers to work on a high-visibility platform that builds tooling atop a custom compiler and SDK.

You will develop and optimize GPU kernels and AI workloads for specialized hardware, using PyTorch and Triton, and port models into our SDK environment.

Collaboration with platform architects, compiler teams, and system engineers will drive end-to-end performance and reliability.

Formación

• Expert in GPU kernel development and performance optimization.
• Hands-on experience with PyTorch and Triton frameworks.
• Experience porting ML workloads to custom hardware.
• Strong Python proficiency and systems programming with C/C++.

Responsabilidades

• Develop high-performance GPU kernels for specialized hardware using PyTorch and Triton.
• Build software solutions leveraging custom compiler toolchains and SDK capabilities.
• Design and implement kernel-level optimizations to improve hardware execution behavior.
• Port and optimize AI/ML models for proprietary SDK environments.
• Adapt and run HPC benchmarks and stress workloads including HPL and BERT-like workloads.
• Develop stress testing and validation workloads aligned with hardware behavior and platform reliability.
• Collaborate with platform architects, compiler teams, and system engineers to enhance end-to-end system performance.

Conocimientos

Python

C/C++

PyTorch

Triton

GPU kernel dev

Compiler optimization

Performance tuning

Descripción del empleo

We are seeking expertlevel GPU Software Engineers to support a highvisibility platform focused on building software tooling on top of a custom compiler and SDK

The role involves developing optimizing and porting GPU kernels and AI workloads to a specialized hardware platform

Key Responsibilities

• Develop highperformance GPU kernels for specialized hardware platforms using PyTorch and Triton frameworks
• Build software solutions leveraging custom compiler toolchains and SDK capabilities
• Design and implement kernellevel optimizations to control and improve hardware execution behavior
• Port and optimize opensource AIML models for proprietary or custom SDK environments
• Adapt and run highperformance computing benchmarks and stress workloads including
• High Performance Linpack HPL
• BERT and similar benchmarkstyle workloads
• Develop stress testing and validation workloads aligned with hardware behavior and platform reliability goals
• Support validation and performance testing for both current and nextgeneration hardware platforms
• Collaborate closely with platform architects compiler teams and system engineers to enhance endtoend system performance

Core Technical Skills MustHave

Programming Frameworks

• Strong proficiency in Python
• Expertise in CC for systemslevel programming
• Handson experience with PyTorch
• Experience with Triton kernel development and Triton language

GPU Systems Expertise

• Mandatory experience in GPU kernel development
• Strong understanding of GPU architecture and performance optimization techniques
• Experience with compiler optimizations and runtime execution models
• Familiarity with custom SDKs and hardware abstraction layers

Performance Workloads

• Handson experience in
• Porting and optimizing ML models on newcustom hardware platforms
• Systemlevel performance tuning benchmarking and stress testing