
Principal Systems Engineer (C++) - AI Infrastructure
Department:Software Engineer
Type:REMOTE
Region:Seattle, WA
Location:Seattle, WA
Experience:Mid-Senior level
Estimated Salary:$120,000 - $180,000
Skills:
C++FULL-STACK DEVELOPMENTSYSTEMS PROGRAMMINGBUILD SYSTEM ARCHITECTUREPACKAGE MANAGEMENTERROR HANDLINGMEMORY SAFETYDATA ANNOTATIONDATA QUALITYEVALUATION SYSTEMSAI/ML WORKFLOWSDISTRIBUTED SYSTEMSDEVELOPER TOOLING
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Job Description
Posted on: January 26, 2026
About The JobAlignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C++ Full-Stack Engineer — AI Data & InfrastructureType: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities
- Design, build, and optimize high-performance systems in C++ 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 existing C++ codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
- Participate in synchronous reviews to iterate on system design and implementation decisions
QualificationsMust-Have
- Native or fluent English speaker
- Full-stack developer experience with a strong systems programming background
- 5+ years of professional experience writing production C++ for large-scale systems.
- Advanced knowledge of build system architecture and package management strategies.
- Experience designing reliable systems with rigorous error handling and utilizing memory sanitizers to ensure memory safety.
- Clear written and verbal communication skills.
- Ability to commit 20–40 hours per week.
Preferred
- 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
Application Process
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding
Originally posted on LinkedIn
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