C++ Engineer - High Performance Computing (HPC)
About this role
About the Role What if your deep C++ expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior C++ Engineer to build and optimize the high-performance systems, data pipelines, and evaluation tooling that leading AI labs depend on every day. This is a fully remote, flexible contract role for engineers who live and breathe systems performance — and want their work to matter at scale. - 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 production AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Identify and eliminate bottlenecks — from cache misses and lock contention to architectural inefficiencies - Improve reliability, performance, and safety across existing C++ codebases used in real AI research workflows - Collaborate with data, research, and engineering teams to support model training and evaluation pipelines - Participate in synchronous design reviews to shape system architecture and implementation decisions Who You Are - 5+ years of professional experience writing production-grade C++ (C++17 or C++20 strongly preferred) - Deep understanding of computer architecture, SIMD intrinsics, and cache coherency — you know how to squeeze performance out of compute-heavy workloads - Expertise in lock-free programming and maximizing parallelism using modern threading libraries - Full-stack development background with a strong systems programming foundation - Clear, confident communicator — written and verbal — comfortable engaging in technical discussions and design reviews - Native or fluent English speaker - Able to commit 20–40 hours per week on a consistent basis Nice to Have - Prior experience with data annotation platforms, data quality systems, or evaluation infrastructure - Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems - Experience with distributed systems architecture or developer tooling - Background working directly with AI research teams or labs Why Join Us - Work on real, production-grade systems used by leading AI research labs — not toy projects - Fully remote and flexible — structure your work around your life - Freelance autonomy with the substance of high-impact, meaningful engineering work - Collaborate with world-class researchers and engineers on problems that actually matter - Potential for ongoing work and contract extension as projects evolve and scale
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