Fundamental is hiring an AI Infrastructure Engineer to profile and optimize distributed training runs, improve large-scale model training efficiency, develop Triton/CUDA kernels, implement model scaling and parallelization, and support model production and inference optimization. The role requires strong knowledge of modern machine learning architectures, distributed multi-GPU training, profiling and debugging, Python, and model parallelization strategies.
Every query opens live roles, salary samples, and market demand — tap a search to run it instantly.
Unlock powerful job search, personalized recommendations, and deep career insights from comprehensive, market-leading data and live market signals.
For job seekers
Upload your résumé, start a Job Search Thread, and let Metaintro rank real openings against your experience — then guide you from search to offer.
Match
Compare live roles against your current evidence.
Position
Turn proof projects into role-specific applications.
Improve
Use market feedback to keep the skill plan current.
frontier AI research lab
Fundamental is building a new category of AI for structured data, with research, models and infrastructure for predictive AI at enterprise scale
Customers and case studies
See customers and case studies