AI Performance Engineer

Dubai

9 months ago

Applications closed

Related Jobs

View all jobs

Edge AI Engineer

AI Engineer / Machine Learning Engineer

Lead AI Engineer

Platform Operations Engineer

Graduate Machine Learning and AI Engineer

Systems Research Engineer

AI Performance Engineer

Description

Our clients are a leading technology company specialising in the design and development of cutting-edge, customised server hardware solutions optimised for artificial intelligence and 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.
This is an AI Performance Engineer role in which you will evaluate and improve
performance of various hardware platforms and software technologies.

Responsibilities

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
company’s 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

Please contact Mano Caderamanpulle for a full discussion

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 12, 2026

Careers

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

Jan 24, 2026

Education

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.