AI Performance Engineer — C++/Rust Systems Optimizer

Mercor

New York (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Cincinnatus LLC is seeking talented Performance Engineers to join a leading AI lab's GenAI team. Your focus will be low-level optimization for AI training and inference infrastructure using C++, Python, and Rust, and you will contribute hands-on tasks to generate high-quality training data for frontier AI systems.

This is a 40-hour full-time W-2 engagement with placement at a premier AI lab, offering opportunities to impact latency, throughput, and memory footprint while collaborating with

Qualifications

  • 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization.
  • Deep hands-on expertise in C++, Python, or Rust with working familiarity across the others.
  • Proven track record of measurable performance improvements on production systems.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills to explain technical decisions clearly.

Responsibilities

  • Guide research and engineering teams to improve AI model performance in systems-level optimization.
  • Design tasks and write solutions to performance engineering problems.
  • Evaluate tasks and provide clear, written technical feedback.
  • Develop rubrics and evaluation frameworks for AI workloads.
  • Collaborate with SMEs to ensure training data accuracy.

Skills

C++
Python
Rust

Job description

Cincinnatus LLC is seeking talented Performance Engineers to join a leading AI lab's GenAI team. Your focus will be low-level optimization for AI training and inference infrastructure using C++, Python, and Rust, and you will contribute hands-on tasks to generate high-quality training data for frontier AI systems.

This is a 40-hour full-time W-2 engagement with placement at a premier AI lab, offering opportunities to impact latency, throughput, and memory footprint while collaborating with

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