Lead AI Systems Architect
94% High MatchNeuralScale • New York, NY (United States) • Posted 1 day ago
PyTorchLLM Fine-TuningDistributed SystemsKubernetes
Role Overview
Drive the core architecture of NeuralScale's high-throughput LLM training and inference platform.
Key Responsibilities
- check_circleDesign zero-latency inference infrastructure for multi-billion parameter models.
- check_circleOptimize distributed training pipelines across hybrid GPU clusters.
- check_circleLead cross-functional engineering teams in implementing high-availability AI services.
Requirements & Qualifications
- arrow_right7+ years in distributed systems engineering and ML infrastructure.
- arrow_rightDeep experience with PyTorch, CUDA acceleration, and Kubernetes orchestration.
- arrow_rightM.S. or Ph.D. in Computer Science, Machine Learning, or related quantitative field.
Perks & Benefits
card_giftcardTop-tier compensation and equity
card_giftcardUnlimited PTO
card_giftcardHome office setup stipend ($2,500)
card_giftcardComprehensive wellness perks
About NeuralScale
NeuralScale builds foundational enterprise infrastructure for real-time generative AI inference and agentic automation.
Company Size: 100-250 employeesVisit Website open_in_new
Compensation Benchmark
$220k - $310k
Top 5% market tier for Lead AI Systems Architect
Employment TypeFULL TIME
Experience LevelLead / Executive
Workplace Setup100% Remote
AI Match Rating94% Verified