C++ Engineer - High Performance Computing (HPC)
About this role
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, 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
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