Performance Engineer (C++, Python, Rust)

Great Value Hiring; United States; On-site; USD 123,984 - 165,312; Full time

Job summary

Great Value Hiring is looking for a Performance Engineer with deep expertise in C++, Python, and Rust to enhance their AI training and inference infrastructure. This role includes guiding teams for systems optimization, designing complex engineering tasks, and evaluating performance solutions. Candidates should have over 5 years of relevant experience, particularly in low-level optimization and communication skills, and will be compensated between $90 to $120 per hour. This is a W-2 employment position requiring at least 30 hours of work per week.

Qualifications

• 5+ years in performance engineering or systems programming.
• Expertise in C++, Python, and experience with Rust.
• Strong written communication skills.

Responsibilities

• Guide teams to improve AI model performance and optimization.
• Design complex tasks and provide structured solutions.
• Evaluate solutions and provide technical feedback.
• Develop guidelines for systems design quality and performance analysis.

Skills

C++ for performance-critical systems

Python for profiling and benchmarking

Rust in systems-level performance

Memory management and concurrency mechanisms

Compilation and optimization techniques

Job description

Performance Engineers with deep expertise in low-level systems optimization specifically C++, Python, and Rust to bring hands‑on technical excellence and elevate the quality of our AI training and inference infrastructure data.

Performance Engineer (C++, Python, Rust) [$90-$120/hr] (W2, Contingent Role)

This is a W‑2 employment position.

Role Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems‑level optimization, compiler engineering, and runtime performance topics.
• Design challenging, domain‑relevant tasks across multiple specializations, and write accurate and well‑structured solutions to performance engineering and systems programming problems.
• Evaluate performance engineering tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality, profiling methodology, memory optimization, and performance analysis across AI workloads.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Good Candidature

• 5+ years of dedicated professional experience in performance engineering, systems programming, or low‑level optimization at a recognized, top‑tier organization.
• Deep hands‑on expertise in C++ for performance‑critical systems including memory management, concurrency primitives, SIMD intrinsics, and compiler‑level optimization (e.g., PGO, LTO, custom allocators).
• Proficiency in Python for profiling, benchmarking, and tooling workflows; experience with Rust in systems‑level or safety‑critical performance contexts is a strong plus.
• Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).
• Demonstrable career progression.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.