C++ Engineer - High Performance Computing (HPC)

C++ Engineer - High Performance Computing (HPC)

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, data pipelines, and evaluation tooling that leading AI labs depend on — working on real production code with tangible, measurable impact.

This is a fully remote, flexible contract role for engineers who know how to write fast, clean, production-grade C++ and want to do meaningful work at the frontier of AI development.

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 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 safety across existing 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 system architecture and implementation decisions

Who You Are

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

Nice to Have

• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
• Experience with distributed systems or developer tooling

Why Join Us

• Work on cutting-edge AI infrastructure alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of high-impact, production-grade engineering work
• Make a direct contribution to the systems that power next-generation AI models
• Potential for ongoing work and contract extension as new projects launch