[Hiring] Member of Technical Staff, Forward Deployed Engineer @Inferact

Role Description

We're looking for a Forward Deployed Engineer to make Inferact successful inside real customer environments. You'll work directly with customers to deploy, integrate, debug, and optimize vLLM-powered inference systems across cloud, Kubernetes, GPU, networking, and model-serving environments.

This is a hands-on engineering role, not a traditional pre-sales position. You'll:

• Move from architecture discussions to implementation.
• Own difficult production problems end-to-end.
• Work closely with core product and engineering teams.
• Turn what you learn in the field into reusable product capabilities.

Your work will directly affect customer time-to-value and how Inferact's platform evolves.

Qualifications

• Bachelor's degree or equivalent experience in computer science, engineering, systems, machine learning, or similar.
• Strong software engineering ability in Python, Go, TypeScript, or similar.
• Experience building production-quality integrations, tooling, services, automation, or prototypes.
• Hands-on experience deploying or operating ML systems, model serving, AI infrastructure, cloud platforms, Kubernetes, or high-scale backend systems in production.
• Ability to work directly with sophisticated customer engineering teams.
• Strong systems debugging skills across application, runtime, infrastructure, networking, identity, storage, observability, and distributed-system boundaries.
• Ability to reason about latency, throughput, batching, model/runtime compatibility, scaling, reliability, and cost tradeoffs in production inference environments.
• High ownership and strong technical communication.

Requirements

• Experience with vLLM, SGLang, TensorRT-LLM, TGI, Ray Serve, BentoML, or other LLM inference and model-serving systems.
• Experience with NVIDIA or AMD GPUs, CUDA / ROCm, GPU scheduling, multi-GPU serving, or accelerator-backed infrastructure.
• Experience deploying infrastructure software into enterprise, regulated, security-sensitive, or bring-your-own-cloud environments.
• Experience building APIs, SDKs, CLIs, developer tooling, deployment platforms, control planes, or infrastructure products used by technical teams.
• Experience profiling latency, throughput, concurrency, GPU utilization, bottlenecks, and performance regressions.

Benefits

• Generous health, dental, and vision benefits.
• 401(k) company match.