Performance Engineer for AI Model Training

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. Overview

This role requires talented Performance Engineers with deep expertise in low-level systems optimization, specifically in C++, Python, and Rust. You will bring hands-on technical excellence to elevate the quality of our AI training and inference infrastructure data. Your work will involve AI model training and evaluation, including writing and assessing performance-engineering tasks and solutions to generate high-quality training data for frontier AI systems. This is a W-2 employment position with Cincinnatus LLC, offering a full-time engagement of 40 hours per week, with no conflicts or other engagements.

• 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.

• 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 40 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

Full-time engagement of 40 hours per week, with no conflicts or other engagements.

Hourly rate of $70 - $110.

This position is open to candidates eligible for W-2 employment.