Customer‑Facing AI Inference Performance Engineer

present of AI; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Wafer is seeking a Member of Technical Staff, Forward Deployed in San Francisco. This customer-facing engineering role focuses on running benchmarks on a customer's workload, explaining the results to their engineers, and getting them live in production.

The candidate will need to scope half-defined work and deliver concrete answers rather than questions. The role offers hands-on exposure to LLM inference and serving stacks, such as vLLM, SGLang or TensorRT-LLM, and running open models on AMD

Qualifications

• Experience shipping and running production systems.
• Ability to read traces and profiles to diagnose problems.
• Familiarity with LLM inference serving stacks (vLLM, SGLang, TensorRT-LLM).
• Proven ability to own technical relationships with customers.

Responsibilities

• Run benchmarks on a customer’s workload and explain results to their engineers.
• Help customers get deployments live in production and maintain health.
• Scope ambiguous work and deliver clear answers rather than asking excessive questions.
• Provide feedback to engineers building the AI engine, kernels, and agents.

Skills

Production systems

Trace and profiler debugging

LLM inference serving stacks

Technical customer ownership

Tools

vLLM

SGLang

TensorRT-LLM

Job description

Wafer is seeking a Member of Technical Staff, Forward Deployed in San Francisco. This customer-facing engineering role focuses on running benchmarks on a customer's workload, explaining the results to their engineers, and getting them live in production.

The candidate will need to scope half-defined work and deliver concrete answers rather than questions. The role offers hands-on exposure to LLM inference and serving stacks, such as vLLM, SGLang or TensorRT-LLM, and running open models on AMD