обновлено 1 месяц назад
Staff Forward Deployed Engineer (AI)
100 000 - 500 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Forward Deployed Engineer (AI): Building and operating production AI inference deployments while connecting customers, engineering, and inference service products with an accent on full-stack inference debugging, Kubernetes operations, and customer-driven software delivery. Focus on scaling disaggregated inference services across multi-node AI clusters, validating performance and reliability, and translating customer requirements into production code and measurable acceptance criteria.
Location: Remote, based in North America, with preference near Santa Clara, California; Austin, Texas; or Toronto, Ontario.
Compensation: $100,000–$500,000 annually, including base and variable compensation targets.
Company
Tenstorrent develops AI computers and high-performance AI platforms combining software models, compilers, platforms, networking, semiconductors, and RISC-V CPUs.
What you will do
- Build production software and operate AI inference deployments for customers.
- Create continuity between customers, engineering teams, and AI inference service products.
- Debug the full inference stack, from failing requests and serving layers to out-of-memory issues and kernel dispatch.
- Translate ambiguous customer requirements and issues into verifiable acceptance criteria.
- Provide engineering feedback through pull requests, reproducible code, benchmarks, and telemetry.
- Scale and validate disaggregated inference services on Kubernetes while balancing performance and reliability.
Requirements
- 5+ years of relevant technical experience in software engineering or a related applied engineering, machine learning, MLOps, platform, infrastructure, SRE, or field application role.
- Understanding of how accelerator compute, memory, and networking topology constrain AI workloads.
- Direct customer-facing experience and the ability to provide effective technical solutions.
- Experience with Kubernetes and Helm at multi-node, HPC, or AI cluster scale.
- Experience with observability and infrastructure automation, including Prometheus, Grafana, or OpenTelemetry.
- Experience with LLM inference serving engines such as vLLM, SGLang, Mooncake, NIM, Dynamo, or LMCache.
Nice to have
- Experience building agentic workflows for coding, engineering, or operational tasks.
- Experience with AI hardware and software co-design, cluster-scale validation, or enterprise AI deployments.
Culture & Benefits
- High-autonomy engineering role with direct customer impact.
- Collaborative environment focused on curiosity and solving difficult technical problems.
- Competitive compensation package and benefits.
- Employment is contingent on eligibility to access U.S. export-controlled technology.
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