Responsibilities
• Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance
• Design challenging domain-specific tasks and write accurate, well-structured solutions to performance engineering problems
• Evaluate performance engineering tasks and solutions and provide clear written technical feedback
• Develop guidelines and rubrics to assess systems design quality across AI workloads
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data

Requirements
• 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 familiarity across the others as a plus
• Demonstrable track record of measurable performance improvements on production systems
• Demonstrable career progression
• Ability to engage reliably for at least 30 hours per week during weekdays
• Strong written communication skills and ability to explain complex technical decisions clearly

How to Apply
Click "Apply" to be taken to the Cincinnatus LLC application. This is a full-time, contingent W-2 role with no conflicts or other engagements allowed. Applying through our link supports WFH Bulletin as a referral partner, but you are welcome to apply directly if you prefer.