Performance Engineer (C++, Python, Rust)

Key Responsibilities

• Collaborate with research and engineering teams to improve AI capabilities in systems programming, compiler optimization, runtime performance, and low-level engineering concepts.
• Design challenging, real-world performance engineering tasks that reflect production-scale optimization scenarios.
• Develop accurate, well-documented solutions to complex systems programming and performance optimization problems.
• Review and evaluate AI-generated solutions, providing detailed technical feedback on correctness, efficiency, and engineering quality.
• Create comprehensive evaluation frameworks and scoring rubrics for topics including: Systems architecture, Runtime optimization, Compiler engineering, Memory management, CPU and GPU performance, Concurrency and parallel processing.
• Contribute domain expertise to enhance the reasoning capabilities of advanced AI models.

Required Qualifications

• Minimum 2 years of professional experience in Performance Engineering, Systems Programming, or Low-Level Software Optimization.
• Strong hands-on expertise in at least one of the following programming languages: C++ Python Rust.
• Working familiarity with the remaining languages is highly desirable.
• Promised experience delivering measurable improvements in production systems, including: Latency reduction, Throughput optimization, Memory footprint reduction, Runtime performance improvements.
• Strong understanding of systems architecture, compiler behavior, and performance profiling techniques.
• Demonstrated career progression with increasing technical responsibility.
• Availability to work 40 hours per week during standard weekday business hours.
• Excellent written communication skills with the ability to clearly explain complex engineering concepts and optimization decisions.

Preferred Qualifications

• Experience optimizing large-scale distributed systems or high-performance computing workloads.
• Knowledge of compiler internals, runtime systems, or operating system fundamentals.
• Experience with profiling, benchmarking, and performance analysis tools.
• Familiarity with AI infrastructure or machine learning system optimization.
• Experience collaborating with research teams on advanced engineering projects.
• Passion for building highly efficient, scalable software systems.

Benefits

This is a full-time, 40-hour-per-week remote engagement requiring full weekday availability.

Pay

$70-$110 per hour

Schedule

Full-time, 40-hour-per-week remote engagement requiring full weekday availability.