Remote Senior C++ Systems Engineer — AI Data Pipelines

Alignerr Corp.

Seattle (WA)

Remote

USD 83,000 - 165,000

Part time

20 hours ago
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Job summary

Alignerr is seeking a senior C++ engineer to design, build, and scale high-performance systems powering AI data pipelines and evaluation infrastructure. The role focuses on performance-critical engineering, backend services, and tooling for large-scale data annotation and quality control.

You will work on data pipelines, evaluation workloads, and production-grade C++ systems, collaborating with data, research, and engineering teams.

Qualifications

  • 5+ years of production-grade C++ experience (C++17/20)
  • Strong understanding of computer architecture, SIMD intrinsics, and cache coherency
  • Expert in lock-free programming and maximizing parallelism using threading libraries
  • Native or fluent English communication skills

Responsibilities

  • Design, build, and optimize high-performance C++ systems for AI data pipelines and evaluation workflows
  • Develop backend services and tooling for large-scale data annotation and quality control
  • Improve reliability, performance, and safety across existing C++ codebases
  • Identify and resolve bottlenecks in data and system behavior with scalable solutions
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in design reviews and contribute to system architecture decisions

Skills

C++
Modern C++ (C++17/20)
Performance optimization
Multithreading
System architecture
English communication

Tools

SIMD intrinsics
Lock-free programming libraries

Job description

Alignerr is seeking a senior C++ engineer to design, build, and scale high-performance systems powering AI data pipelines and evaluation infrastructure. The role focuses on performance-critical engineering, backend services, and tooling for large-scale data annotation and quality control.

You will work on data pipelines, evaluation workloads, and production-grade C++ systems, collaborating with data, research, and engineering teams.

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