Performance Engineer (Full-Time W-2)

Engineering • W-2 Full-Time • Remote (US) • $100-$130/hr

JobHub by NeonLabs is partnering with a leading AI lab's cutting-edge GenAI team to bring on Performance Engineers. Be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models and optimizes frontier AI training and inference infrastructure.

This role is ideal for engineers with deep expertise in low-level systems optimization who thrive in debugging, refining, and building high-performance core components - all while working a dedicated full-time schedule.

⚙️ What You'll Do

The Performance Engineer (Full-Time W-2) role is a remote full-time position paying $100-$130/hr. It suits experienced professionals who want flexible, project-based AI work reviewed on a rolling basis. You collaborate directly with client teams on real deliverables that help train and evaluate next-generation AI systems, with no long-term commitment required.

• 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, well-structured solutions to performance engineering problems.
• Evaluate performance engineering tasks and solutions, providing clear, written technical feedback.
• Develop guidelines and detailed rubrics and evaluation frameworks to assess systems design quality across AI workloads.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

🧠 Ideal 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 (working familiarity across the others 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 and strong written communication skills.
• Ability to engage reliably for at least 30 hours/week during weekdays.

💡 What Makes This Role Unique

• Work directly with one of the world's leading AI labs on frontier GenAI development.
• Your low-level optimization expertise directly shapes the systems powering next-generation LLMs.
• High-impact, full-time engagement with meaningful ongoing potential.
• Help define how AI systems reason about performance engineering and systems-level optimization.

💰 Engagement Details

• Pay: $100-$130/hour (USD, based on experience)
• Employment Type: W-2 Contingent Role via Cincinnatus LLC (Employer of Record)
• Schedule: 40 hours per week - full-time engagement, no conflicts, no other engagements
• Location: Fully Remote - United States only 🇺🇸
• Residency Requirement: United States
• Opportunity: New opportunity with high-impact ongoing potential

📋 Application Process

• Submit your resume and relevant portfolio or GitHub profile link.
• Applications reviewed on a rolling basis.
• Shortlisted professionals will complete a structured technical review.
• Typical response time: within one week of submission.