C++ Engineer - High Performance Computing (HPC)

Alignerr Corp.; New York (NY); Remote; USD 103,000 - 172,000; Part time

Job summary

Alignerr Corp. is seeking a senior C++ Engineer for high-performance computing in a fully remote hourly contract. You will design and optimize C++ systems guiding AI data pipelines, annotation tooling, and evaluation infrastructure, with 20–40 hours per week commitment.

The role emphasizes modern C++ (C++17/20), SIMD optimization, and scalable design, collaborating with data, research, and engineering teams to push AI workloads forward.

Qualifications

• 5+ years of professional experience in production-grade C++
• Strong knowledge of modern C++ standards (C++17/20) and architecture
• Experience with SIMD intrinsics and cache-aware optimizations
• Expert in lock-free programming and parallelism
• Full-stack background with robust systems programming
• Clear written and verbal English communication

Responsibilities

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

Skills

C++17/20

High-performance

Lock-free programming

Parallelism

Systems programming

English fluency

Tools

SIMD intrinsics

Multithreading libraries

CPP tooling

Job description

C++ Engineer — High Performance Computing (HPC)

About The Role

What if your mastery of C++ could directly shape the infrastructure powering the next generation of AI? We're looking for senior C++ engineers to build and optimize the high-performance systems that leading AI labs depend on — data pipelines, annotation tooling, evaluation infrastructure, and more.

This is a fully remote, flexible contract role. If you live and breathe modern C++, care deeply about performance, and want your work to have real impact on cutting-edge AI research, this is the role for you.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

What You'll Do

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

Who You Are

• 5+ years of professional experience writing production-grade C++ — modern standards (C++17 or C++20) preferred
• Deep understanding of computer architecture, SIMD intrinsics, and cache coherency to optimize compute-heavy AI workloads
• Expert in lock-free programming and maximizing parallelism using threading libraries
• Full-stack developer background with a strong systems programming foundation
• Native or fluent English speaker with clear written and verbal communication skills
• Able to commit 20–40 hours per week consistently

Nice to Have

• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling
• Background in HPC, game engines, or other performance-critical domains

Why Join Us

• Work directly with leading AI labs on real production systems — not toy projects
• Fully remote and flexible — work on your schedule, from anywhere
• Freelance autonomy with the structure of meaningful, high-impact engineering work
• Tackle genuinely hard technical problems at the frontier of AI infrastructure
• Potential for ongoing work and contract extension as new projects launch