Back to search

AI Engineer – Model Training, Inference & Infrastructure

International Recruiting LLC · Bellevue, WA · AI model training, inference and infrastructure for agentic design automation

Employment type

Full-time

Work setting

On-site

Location

Bellevue, WA

Schedule

Day shift

Posted

Apply for this job

You'll be redirected to the employer's application page.

Job overview

The AI Engineer – Model Training, Inference & Infrastructure is a full-time, onsite role. The posting lists San Jose, CA; Austin, TX; or Taiwan as work locations, while the listing location is Bellevue, WA. Compensation is not specified. The client is developing design automation for the semiconductor industry, with a mission to enable engineering organizations to build self-improving agentic design workforces. The engineer owns model training, inference and infrastructure that power agentic design workflows. The role takes models from data pipelines and training through evaluation and production serving, improving agent capability, reliability, speed and cost efficiency for real semiconductor design environments.

What you'll do

  • Train, post-train and fine-tune large language models
  • build data pipelines for training and evaluation
  • operate distributed training on multi-node GPU clusters
  • build high-throughput, low-latency inference systems
  • optimize custom GPU kernels and end-to-end performance
  • develop model infrastructure for orchestration, scheduling, checkpointing, observability and cost tracking
  • build evaluation systems and reward models
  • design self-improving learning loops
  • integrate models with agent runtimes and production serving
  • collaborate with research, product, platform and solutions teams across San Jose, Austin and Taiwan.

What we're looking for

Skills & competencies
ai engineer
model training
inference
infrastructure
san jose ca
austin tx
taiwan
gpu computing
large language models
distributed training
semiconductor design
agentic design automation
Work arrangement
  • Weekend coverage required

Why this role

Requires a PhD or master’s degree in a related field or equivalent practical experience, strong Python and C++ or Rust skills, and deep experience with PyTorch or JAX. Relevant experience includes distributed model training, inference, GPU programming, ML infrastructure and automated evaluation. The posting describes a small, highly technical team and deployment with leading chip-design organizations.

About the employer

International Recruiting LLC is hiring for this role. Industry: Engineering Services. Sector: 54.

Additional details

Industry sector
54
Industry
Engineering Services
Occupation code
15-2051.00
Apply for this job

You'll be redirected to the employer's application page.

Browse more jobs

Listing ID: a710188b-8ab1-4e08-b98e-752403b06274

    AI Engineer – Model Training, Inference & Infr… | CollabWORK