Performance Engineer

📋 Description

• Design tasks to push AI training systems and evaluate solutions.
• Collaborate with researchers and engineers on systems programming and runtime optimization.
• Create realistic production-scale performance challenges.
• Develop well-documented solutions for complex optimization problems.
• Build evaluation frameworks for architecture, memory, CPU/GPU, and concurrency.

🎯 Requirements

• Minimum 2 years in performance engineering or low-level optimization.
• Strong expertise in C++, Python, or Rust; familiarity with others.
• Proven latency/throughput/memory improvements in production systems.
• Understanding of systems architecture, compiler behavior, profiling.
• Experience with benchmarking tools and performance analysis.
• Excellent written communication of technical decisions.

🎁 Benefits

• Competitive pay: $70–$110/hour
• Fully remote work with flexible hours
• Contribute to advanced AI technologies
• Collaborate with AI researchers and engineers
• Work on real-world systems optimization projects
• Weekly payments via supported platforms