Performance Engineer

jobhub by neonlabs β€’ United State
Remote
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AI Summary

JobHub by NeonLabs is seeking a Performance Engineer to partner with a leading AI lab's GenAI team. The ideal candidate will have expertise in low-level systems optimization and a track record of measurable performance improvements. This is a full-time, remote role with a pay range of $100-$130/hour.

Key Highlights
Guide research and engineering teams to improve AI model performance
Design and implement performance engineering tasks and solutions
Collaborate with subject matter experts to ensure consistency and accuracy in training data
Key Responsibilities
Guide research and engineering teams to close knowledge gaps and improve AI model performance
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
Technical Skills Required
C++ Python Rust
Benefits & Perks
$100-$130/hour
Fully Remote
40 hours per week

Job Description


Apply here:
πŸ‘‰ https://neonlabshub.com/performance-engineer-w2

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 β€” all while working a dedicated full-time schedule.

What You’ll Do
β€’ Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics
β€’ Design challenging, domain-relevant tasks across multiple specializations, and write accurate, well-structured solutions to performance engineering problems
β€’ Evaluate performance engineering tasks and solutions, providing clear, written technical feedback
β€’ Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads
β€’ Collaborate with other subject matter experts to ensure consistency and accuracy in training data

Ideal Qualifications
β€’ 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization
β€’ Deep hands-on expertise in at least one of the following: C++, Python, or Rust (working familiarity across the others is a strong plus)
β€’ Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization)
β€’ Demonstrable career progression and strong written communication skills
β€’ Ability to engage reliably for at least 30 hours/week during weekdays

Residency: United States

Details
β€’ Pay: $100–$130/hour (USD, based on experience)
β€’ Schedule: 40 hours per week (Full-time engagement, no conflicts/no other engagements)
β€’ Employment Type: W-2 contingent role through Cincinnatus LLC (Employer of Record)
β€’ Location: Fully Remote (US-based)
β€’ Opportunity: New opportunity with high-impact ongoing potential

Application Process
β€’ Submit your resume and relevant portfolio/GitHub profile link
β€’ Applications reviewed on a rolling basis
β€’ Shortlisted professionals will complete a structured technical review
β€’ Typical response time: within one week of submission

🌍 Join a premier initiative connecting top systems engineers to frontier AI research β€” and use your low-level optimization expertise to help build and scale the next generation of intelligent systems.

Apply here:
πŸ‘‰ https://neonlabshub.com/performance-engineer-w2

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