Systems Optimization Expert - Fully Remote | Upto $130/hr

mercor; United States; Remote; USD 138,000 - 179,000; Full time

Job summary

Mercor is seeking a Performance Engineer Expert to join our remote team. You will guide research and engineering efforts to improve AI model performance across systems-level optimization, compiler engineering, and runtime performance.

The role requires 2+ years in performance engineering or low-level optimization, expertise in C++, Python, or Rust, and the ability to engage for at least 30 hours per week on weekdays. Strong written communication is essential.

Qualifications

• 2+ years of experience in performance engineering, systems programming, or low-level optimization.
• Expertise in C++, Python, or Rust.
• Proven track record of performance improvements on production systems.
• Ability to engage for at least 30 hours/week during weekdays.
• Strong written communication skills.

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

Skills

C++

Python

Rust

Communication skills

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 Expert Type: Contract Compensation: $100–$130/hour Location: Remote Commitment: 40 hours/week

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

Qualifications Must-Have

• 2+ years of experience in performance engineering, systems programming, or low-level optimization.
• Expertise in C++ , Python , or Rust .
• Proven track record of performance improvements on production systems.
• Ability to engage for at least 30 hours/week during weekdays.
• Strong written communication skills.