Performance Engineer (C++, Python, Rust)

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.

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. This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

• 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 and systems programming 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, profiling methodology, memory optimization, and performance analysis 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 C++ for performance-critical systems.
• Proficiency in Python for profiling, benchmarking, and tooling workflows; experience with Rust in systems-level or safety-critical performance contexts is 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.

Hourly employment with a commitment of at least 30 hours per week during weekdays.

Hourly rate ranges from $100 to $130.

This position is open to candidates located in the United States.