Live opening · Posted 13 hours ago
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About the role
Description supplied by the original job listing.
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
Work arrangement
Yes
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