Senior GPU Optimization Engineer

Luxoft; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading technology firm is seeking a software engineer to enhance AI operations on GPU architectures. In this challenging role, you will design and optimize high-performance code, ensuring efficient AI workloads while collaborating closely with expert teams. Candidates should possess strong C/C++ skills and a solid foundation in GPU computing technologies.

Qualifications

• Strong expertise in C/C++ programming and parallel programming required.
• Solid experience in software design, debugging, performance analysis, and test design needed.
• Knowledge of GPU technologies like CUDA, HIP, or OpenCL is essential.

Responsibilities

• Design, implement, and optimize AI operations for GPUs.
• Profile and analyze performance for efficient AI workloads.
• Deliver robust, high-quality open-source software.
• Collaborate with specialists and partners to improve GPU libraries.

Skills

C/C++ programming

Parallel programming

Software design

Debugging

Performance analysis

Test design

GPU computing technologies

Job description

Project description

Join a challenging project focused on the development and optimization of AI operations on advanced GPU architectures. The role involves high-performance code delivery for open-source software and close collaboration with technical experts and partners to enhance GPU libraries.

Responsibilities

• Design, implement, and optimize AI operations for GPUsProfile and analyze performance to ensure efficient AI workloadsDeliver robust, high-quality open-source softwareCollaborate with internal specialists and external partners to improve GPU libraries

SKILLS

Must have

• Strong expertise in C/C++ programming and parallel programmingSolid experience in software design, debugging, performance analysis, and test designKnowledge of GPU computing technologies such as CUDA, HIP, or OpenCL

Nice to have

· Experience with low-level optimization techniques (e.g., assembly programming, intrinsic)· Understanding of Deep Learning frameworks and AI operations· Familiarity with GPU, TPU, DSP, or other hardware accelerators· Embedded Performance Optimization