Applied ML Engineer - EDA & Physical AI (Remote)

Buildwithtrace; San Francisco (CA); Hybrid; USD 160,000 - 220,000; Full time

Job summary

Buildwithtrace seeks a senior ML/EE engineer in the San Francisco Bay Area or remote. You will design and deploy neural networks and LLM-enhanced systems to improve PCB design, routing, and layout decisions.

You will build training pipelines, collaborate with hardware/EDA teams, and own end-to-end projects from data prep to production. Strong ML/EE background and 5+ years of experience are required.

Qualifications

• Bachelor's degree or higher in ML, EE, CE, CS, Mathematics, Physics, or related quantitative field.
• 5+ years of relevant industry experience.
• Strong background in machine learning and/or electrical engineering.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Experience training, fine-tuning, evaluating, or deploying neural networks or LLMs.
• Experience with AWS and/or GCP for model training, data pipelines, or deployment.

Responsibilities

• Build and improve neural network and LLM systems for circuit understanding, placement, routing, and design assistance.
• Create training, fine-tuning, and evaluation pipelines for PCB and schematic data.
• Develop model-driven tooling that integrates into production design workflows.
• Work with PCB, CAD, and product teams to encode design rules and constraints into model behavior.
• Prototype and productionize systems for retrieval, ranking, generation, scoring, and design-space exploration.
• Build feedback loops between model outputs, design data, and user actions.
• Define and improve metrics for layout quality, constraint satisfaction, manufacturability, and user value.
• Own projects end to end, from data preparation and experiments to deployment and iteration.

Skills

Python

PyTorch

TensorFlow

Neural networks

Electrical engineering

ML/EE background

AWS

GCP

Optimization

Production tooling

Education

Bachelor's degree or higher in ML/EE/CE/CS/Math/Physics

Tools

AWS

GCP

Job description

Buildwithtrace seeks a senior ML/EE engineer in the San Francisco Bay Area or remote. You will design and deploy neural networks and LLM-enhanced systems to improve PCB design, routing, and layout decisions.

You will build training pipelines, collaborate with hardware/EDA teams, and own end-to-end projects from data prep to production. Strong ML/EE background and 5+ years of experience are required.