Director, AI Systems Solutions Engineering
Core
Lead technical customer engagements and build a team of Solutions Engineers to deploy Tensordyne's AI inference systems for hyperscalers and frontier model developers.
Role type
Director, AI Systems Solutions Engineering
Builds
Tensordyne AI inference platform (silicon, networking, memory architecture) for large-scale generative AI workloads
Domain
AI Infrastructure / High-Performance Computing / Generative AI
Deliverable
production ML models
Required skills
AI inference systems architecture, LLM and multimodal model architectures, AI accelerator and system architecture, inference performance optimization, modern AI frameworks (PyTorch, vLLM, SGLang, Triton), production inference techniques (quantization, parallelism, KV-cache management), technical leadership, benchmarking and competitive analysis
Preferred skills
Experience with custom silicon or emerging AI accelerators, experience bringing AI infrastructure from early access to production, experience with compiler/runtime/distributed AI systems
Technologies
PyTorch, vLLM, SGLang, Triton, GPUs, custom silicon
Responsibilities
Own strategic technical customer engagements from architecture to production deployment, define technical evaluation strategy and benchmarking methodologies, engage with model developers on workload requirements, lead a team of Sales/Solutions Engineers, translate customer feedback to product teams, develop scalable GTM playbooks and reference architectures
Seniority
Director, hands-on technical leader
