Performance Engineer for AI Systems Optimization

Company:  Confidential
Location: remote
Closing Date: 25/06/2026
Salary: £100 - £130 Per Annum
Hours: Full Time
Type: Permanent

Job Description

Join a leading AI lab''s cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

Role Overview

We are looking for talented Performance Engineers with deep expertise in low-level systems optimization, specifically in C++, Python, and Rust. This role will involve hands-on technical excellence to elevate the quality of our AI training and inference infrastructure data. This is a W-2 employment position with Cincinnatus LLC, offering a full-time engagement of 40 hours per week without conflicts or other engagements.

Key Responsibilities
  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics.
  • Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems.
  • Evaluate performance engineering tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Core Qualifications
  • 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization.
  • Deep hands-on expertise in at least one of the following: C++, Python, or Rust, with working familiarity across the others being a strong plus.
  • Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).
  • Demonstrable career progression.
  • Ability to engage reliably for at least 30 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.
Work Terms

W-2 employment position, 40 hours per week, full-time engagement.

Compensation

Hourly rate of $100 - $130.

Eligibility

Must be eligible to work in the United States.

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