Member of Technical Staff - ML Performance

Навыки

• CUDA / ONNX / TensorRT
• Dagster / Prefect / Luigi
• Отладка и поиск ошибок
• GitHub
• GMV / MRR
• Linux
• Инференс LLM

О компании и продукте

• AI needs a new infrastructure layer. We're building it at Modal.
• Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
• Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
• We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

Требования

• 5+ years of experience writing high-quality, high-performance code
• Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT)
• Familiarity with Nvidia GPU architecture and CUDA
• Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc)

Будет плюсом

• familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc)

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.