19 Sep
|
Tenstorrent
|
Winnipeg
19 Sep
Tenstorrent
Winnipeg
We’re looking for a Forward Deployed Engineer who’s excited to build with the engineers using the AI computers Tenstorrent makes
You will create continuity between customers, engineering, and AI inference service products
This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade‑off to customer leadership as clearly as to core engineering teams
This is a high‑autonomy role with direct customer impact
What You Will Learn
Where co-design of AI hardware and software translates into unique latency and throughput performance
How to scale disaggregated inference services on Kubernetes while balancing performance, reliability, and tactical tradeoffs
What makes enterprise AI deployments successful: from technical requirements through software delivery, cluster‑scale validation, and production ownership
Why customer insights from the field shape the best products
How to build agentic workflows for asymmetric impact
You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don’t treat hardware as a black boxYou are comfortable debugging across the full inference stack:
from failing requests, through the serving layer, down to OOMs or kernel dispatch if need beYou bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry dataYou’re an early adopter of AI for your work from coding to building agentic workflows that multiply your impactYou work directly with customers to understand their challenges and provide effective solutionsExperience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCacheStrong software engineering skills with 5+ years of relevant technical experience (e.g.
Applied
Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer)Experience turning ambiguous customer requirements or issues into verifiable acceptance criteriaKubernetes and Helm experience at multi-node, HPC, or AI cluster scaleExperience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry
📌 Staff Forward Deployed Engineer (Winnipeg)
🏢 Tenstorrent
📍 Winnipeg