Performance Engineer

Hire Feed; Dubai; On-site; AED 354,000 - 557,000; Full time

Job summary

Hire Feed is seeking a Performance Engineer to contribute to cutting-edge AI model training and inference infrastructure. This remote, contract role focuses on hands-on optimization across C++, Python, and Rust to elevate systems performance and reliability.

You will work with a leading AI lab to deliver measurable improvements in latency, throughput, and memory footprint, while shaping evaluation rubrics and guidelines for AI workloads.

Qualifications

• 2+ years of professional experience in performance engineering, systems programming, or low-level optimization.
• Deep hands-on expertise in at least one of C++, Python, or Rust with working familiarity across the others.
• Measurable performance improvements on production systems (latency, throughput, memory footprint).
• Experience writing and assessing performance-engineering tasks for AI model training and evaluation.
• Ability to develop guidelines and rubrics for evaluating systems design quality in AI workloads.

Responsibilities

• Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.
• Design challenging tasks across multiple specializations and write accurate solutions to performance engineering problems.
• Evaluate performance engineering tasks and solutions, providing clear, written technical feedback.
• Develop guidelines and evaluation frameworks to assess systems design quality across AI workloads.
• Collaborate with subject matter experts to ensure consistency and accuracy in training data for frontier AI systems.

Skills

Performance engineering

C++

Python

Rust

Job description

Role: Performance Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $70-$110 / hr

Role Overview

We are hiring for one of our clients, seeking a SWE (C++, Python, Rust) to contribute to the development of advanced large language models. The role involves hands-on technical work to elevate the quality of AI training and inference infrastructure through performance engineering.

Key Responsibilities

• Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.
• Design challenging, domain-relevant tasks across multiple specializations and write accurate solutions to performance engineering problems.
• Evaluate performance engineering tasks and solutions, providing clear, written technical feedback.
• Develop guidelines and detailed evaluation frameworks to assess systems design quality across AI workloads.
• Collaborate with subject matter experts to ensure consistency and accuracy in training data for frontier AI systems.

Required Skills & Qualifications

• 2+ years of professional experience in performance engineering, systems programming, or low-level optimization.
• Deep hands-on expertise in at least one of C++, Python, or Rust with working familiarity across the others.
• Demonstrated track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).
• Experience writing and assessing performance-engineering tasks and solutions for AI model training and evaluation.
• Ability to develop technical guidelines and rubrics for evaluating systems design quality in AI workloads.

More About the Opportunity

This role offers a unique opportunity to work with a leading AI lab, contributing to the development of cutting-edge generative AI systems. The position is a full-time W-2 engagement with no conflicts, providing stability while working on impactful technical challenges.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.