Remote C++ ML Ops Engineer — AI Infrastructure

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 124,000; Full time

Job summary

Alignerr is seeking a Systems Software Engineer for ML Ops to design and build high-performance C++ systems that power AI data pipelines and evaluation workflows.

You will collaborate with researchers and engineers to optimize model training, validation, and benchmarking. The role emphasizes production-grade coding, reliability, and scalable tooling, with remote, async-friendly engagement.

Qualifications

• 5+ years of professional experience writing production-grade C++
• Hands-on experience with C++ frontends of ML frameworks or inference runtimes
• Familiar with hardware acceleration APIs for optimizing model inference performance
• Able to commit 20–40 hours per week with consistent availability

Responsibilities

• Design, build, and optimize high-performance C++ systems for large-scale AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
• Improve reliability, performance, and correctness across production ML codebases
• Collaborate with research, data, and engineering teams to support model training and benchmarking workflows
• Identify bottlenecks and failure modes in data and system behavior and implement scalable fixes
• Participate in design reviews to iterate on architecture and implementation decisions

Skills

C++ production

ML framework frontends

Hardware acceleration APIs

Full-stack development

Strong English

Job description

Alignerr is seeking a Systems Software Engineer for ML Ops to design and build high-performance C++ systems that power AI data pipelines and evaluation workflows.

You will collaborate with researchers and engineers to optimize model training, validation, and benchmarking. The role emphasizes production-grade coding, reliability, and scalable tooling, with remote, async-friendly engagement.