Performance Engineer (C++, Python, Rust)
JobHub by NeonLabs, in partnership with Cincinnatus LLC, is seeking experienced Performance Engineers with expertise in C++, Python, and Rust to support a leading AI lab building next-generation large language models and GenAI infrastructure.
This role focuses on low-level systems optimization, runtime performance, profiling, and performance-critical engineering workflows that directly impact advanced AI training and inference systems. You'll work alongside elite engineering and research teams helping improve the systems powering frontier AI models.
⚙️ What You'll Do
The Performance Engineer (C++, Python, Rust) role is a remote contract position paying $100-$130/hr. It suits experienced professionals who want flexible, project-based AI work reviewed on a rolling basis. You collaborate directly with client teams on real deliverables that help train and evaluate next-generation AI systems, with no long-term commitment required.
- Work with engineering and research teams to improve AI infrastructure and model performance.
- Design and solve advanced systems programming and performance engineering tasks.
- Evaluate technical solutions and provide detailed written feedback.
- Develop evaluation frameworks for profiling, benchmarking, memory optimization, and runtime analysis.
- Help improve AI training data quality related to systems engineering and low-level optimization.
- Collaborate with domain experts to ensure technical consistency and accuracy.
🧠 Ideal Qualifications
- 2+ years of professional experience in performance engineering, systems programming, or low-level optimization.
- Deep hands-on expertise in C++ for performance-critical systems.
- Strong Python experience for profiling, tooling, benchmarking, or automation workflows.
- Rust experience in systems-level or safety-critical environments is a strong plus.
- Proven track record improving latency, throughput, memory efficiency, or runtime performance in production systems.
- Strong written communication and technical reasoning skills.
- Demonstrable career progression and hands-on engineering experience.
🔬 Bonus Experience
- Compiler engineering or runtime optimization.
- Profiling and benchmarking large-scale systems.
- AI infrastructure or distributed systems experience.
- Performance analysis for inference or training workloads.
- Systems-level tooling or optimization frameworks.
💡 What Makes This Role Unique
- Work directly with one of the world's leading AI labs.
- Help improve the infrastructure behind frontier AI systems.
- High-impact engineering work tied directly to next-generation GenAI development.
- Opportunity to shape how AI systems reason about systems programming and optimization.
💰 Engagement Details
- Pay: $100-$130/hour (USD)
- Employment Type: W-2 Contingent Role | Remote
- Location Requirement: United States 🇺🇸
- Schedule: Minimum 30+ hours/week during weekdays
- Employer of Record: Cincinnatus LLC
- Placement: Embedded within a leading AI lab team
📋 Application Process
- Submit your resume via the apply button below.
- Qualified candidates may move through technical evaluation and onboarding quickly.
- Candidates should be available for reliable weekday collaboration.
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