AI Performance Engineer

MBR Partners; Dubai; On-site; AED 300,000 - 500,000; Full time

Benefits offered by this job

Relocation tickets (incl. family)

Visa support

Insurance

Job summary

MBR Partners in Dubai is seeking an AI Performance Engineer to profile and optimize AI workloads across hardware platforms. You will evaluate ML frameworks, tune models, and collaborate with software/firmware teams to meet end-to-end performance goals. Strong C and Python, DL framework internals, and distributed systems experience are essential.

Relocation, visa, and insurance are provided. Join a fast-growing innovator in AI hardware delivering high-performance infrastructure for researchers

Qualifications

• 5 years of experience with C and Python
• Hands on experience the internals of deep learning frameworks (e.g. PyTorch TensorFlow)
• Experience with training and deployment of ML models
• Experience with distributed systems development
• Knowledge of best-practices in software development (testing, profiling, debugging, documentation, version control)
• Deep understanding of CPU/GPU/ASIC architectures and low-level optimization techniques

Responsibilities

• Profile and enhance the performance of AI workloads across hardware platforms and ML frameworks
• Identify workloads and micro-benchmarks for performance analysis
• Follow industry trends in AI algorithms and evaluate them on company hardware
• Experiment with model optimization techniques (quantization, pruning, compression)
• Diagnose and troubleshoot complex heterogeneous computing systems and software issues
• Collaborate with software and firmware teams to meet end-to-end performance goals

Skills

C programming

Python

PyTorch

TensorFlow

LLM development

Distributed systems

Performance profiling

Job description

AI Performance Engineer

Our clients are a leading technology company specialising in the design and developmentof cutting-edge customised server hardware solutions optimised for artificial intelligenceand machine learning applications.Their 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 they are constantly seeking talented and motivated individuals to join their team. They offer a dynamic and challenging work environment with opportunities to make a significant impact on the future of AI technology.

Responsibilities

• Profile and enhance the performance of AI workloads across various hardware platforms and machine learning frameworks
• Identify appropriate workloads and micro-benchmarks to be used for performance analysis
• Follow industry trends in AI algorithms and models and evaluate them on the companys hardware
• Experiment with various model optimization techniques e.g. quantization pruning compression etc.
• Diagnose and troubleshoot complex heterogeneous computing systems and software issues
• Collaborate with software and firmware teams to ensure that the system meets end to end application performance goals while maintaining ease and efficiency of software development

Requirements

• 5 years of experience with C and Python programming
• Hands on experience the internals of deep learning frameworks (e.g. PyTorch TensorFlow) and deep learning models
• General experience with the training and deployment of ML models
• Experience with distributed systems development parallel programs or distributed ML workloads
• Knowledge of best-practices in software development including testing profiling debugging documentation version control issue tracking and planning Deep understanding of CPU and GPU or custom ASICs (NPU TPU etc.)
• architectures and low-level optimization techniques memory hierarchy instruction scheduling and performance trade-offs
• Experience with LLM development and/or deployment is a strong plus

A Compensation package includes relocation tickets (incl. family) visas and insurance

Required Experience

IC

Employment Type: Full-Time

Experience: years

Vacancy: 1