Specialist - Cloud Engineering

Role Description

We are looking for expertlevel GPU Software Engineers to help build and advance a highvisibility platform focused on developing software tooling using a custom compiler and SDK.

This role centers on developing, optimizing, and porting GPU kernels and AI workloads for a specialized hardware platform.

Key Responsibilities

Develop highperformance GPU kernels for specialized hardware platforms using PyTorch and Triton frameworks

Build software solutions that leverage 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

Create stress testing and validation workloads that reflect hardware behavior and support platform reliability goals

Provide validation and performance testing for both current and nextgeneration hardware platforms

Work closely with platform architects, compiler teams, and system engineers to improve 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

GEMM matrix multiplication kernel development

Porting and optimizing ML models on newcustom hardware platforms

Systemlevel performance tuning, benchmarking, and stress testing