AI Summary
Mercor seeks a Performance Engineer to optimize AI model performance for leading research labs. Responsibilities include systems-level optimization, compiler engineering, and runtime performance analysis. Requires 5+ years of experience in performance engineering, C++ expertise, and Python proficiency.
Key Highlights
Optimize AI model performance in systems-level optimization, compiler engineering, and runtime performance.
Design and implement solutions for performance engineering problems.
Provide written technical feedback and develop assessment guidelines.
Key Responsibilities
Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.
Design challenging tasks across multiple specializations and write accurate solutions to performance engineering problems.
Evaluate tasks and solutions, providing clear, written technical feedback.
Develop guidelines and rubrics for assessing systems design quality, profiling methodology, and performance analysis.
Collaborate with subject matter experts to ensure consistency and accuracy in training data.
Technical Skills Required
Benefits & Perks
$90–$120/hour compensation
Remote work
Nice to Have
Experience with Rust
Job Description
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Performance Engineer (C++, Python, Rust)
Type: Contract
Compensation: $90–$120/hour
Location: Remote
Role Responsibilities
- Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.
- Design challenging tasks across multiple specializations and write accurate solutions to performance engineering problems.
- Evaluate tasks and solutions, providing clear, written technical feedback.
- Develop guidelines and rubrics for assessing systems design quality, profiling methodology, and performance analysis.
- Collaborate with subject matter experts to ensure consistency and accuracy in training data.
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Must-Have
- 5+ years of experience in performance engineering, systems programming, or low-level optimization.
- Expertise in C++ for performance-critical systems, including memory management and concurrency primitives.
- Proficiency in Python for profiling and benchmarking; experience with Rust is a plus.
- Track record of measurable performance improvements on production systems.
- Ability to engage for at least 30 hours/week during weekdays.
- Strong written communication skills.
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- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
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