6 дней назад
Forward Deployed Engineer (AI)
150 000 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Owning technical wins for enterprise AI inference deployments through reproducible benchmarks, provider bake-offs, hardware tuning, and production readiness with an accent on performance evaluation, cost modeling, and customer-facing engineering. Focus on designing benchmark harnesses, optimizing model-to-hardware deployments, handling security and compliance reviews, and converting deployment knowledge into reusable technical assets.
Location: Palo Alto, CA, USA; in-office
Salary: $150,000–$195,000 per year
Company
builds infrastructure for using modern AI models in production at scale, with a focus on reliable AI inference.
What you will do
- Own enterprise technical wins and proof-of-concept timelines in partnership with Sales and Engineering.
- Design reproducible benchmark harnesses covering TTFT, ITL, throughput per GPU, p95/p99 latency, and quality parity.
- Run head-to-head evaluations against leading AI providers and tune model-to-hardware deployments on B200, B300, and GB300 NVL72 systems.
- Build cost-per-token models, write migration plans, and support enterprise security and compliance reviews.
- Drive deployment launch readiness, post-signature account health, usage reviews, and expansion.
- Create reusable benchmark reports, reference architectures, and enablement materials.
Requirements
- Customer-facing engineering experience with an owned technical outcome at an infrastructure or ML platform company.
- Strong Python skills.
- Ability to communicate credibly with staff engineers, CFOs, Sales, procurement, and engineering stakeholders.
- Commercial judgment and the ability to distinguish technical objections from procurement objections.
- Ability to work in the Palo Alto office.
Nice to have
- Experience with vLLM, SGLang, TRT-LLM, batching, KV-cache calculations, or quantization.
- Experience with agentic or coding-assistant workloads at scale.
- Experience with long-context workloads, diffusion image/video, ASR/TTS, or multi-LoRA serving.
- Open-source contributions to vLLM or SGLang.
- Deep NVLink or InfiniBand topology knowledge.
Culture & Benefits
- Opportunity to define the Forward Deployed Engineering function from its beginning.
- Direct collaboration with co-founders and the inference engineering team.
- Small, high-performing environment focused on initiative, drive, and grit.
- Work on enterprise adoption of leading open-source AI models.
- Full-time, in-office role with a base salary of $150,000–$195,000 per year.
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