Senior Forward Deployed Engineer — Electromagnetics

Rippling, Inc.; San Mateo (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

An innovative technology company is looking for a Forward Deployment Engineer based in San Mateo, CA. In this full-time role, you'll integrate cutting-edge technology for engineering leaders in various sectors. Responsibilities include driving customer engagement, providing technical support throughout deployments, and working closely with cross-functional teams to shape the product. The ideal candidate should have an engineering or physics background and experience in electromagnetics, alongside skills in Python and Physics AI.

Qualifications

• Experience in electromagnetics, such as antenna design or signal integrity.
• Familiarity with deep learning frameworks like PyTorch.
• Hands-on with physics-informed ML models.

Responsibilities

• Lead integration of the platform for various customers.
• Identify opportunities and design customized solutions.
• Provide technical guidance throughout the customer lifecycle.
• Translate customer insights into feedback for product teams.

Skills

Customer engagement

Python scripting

Technical communication

Electromagnetic engineering

Containerization

Physics AI knowledge

Education

Engineering or physics background

Tools

ANSYS HFSS

CST Studio

COMSOL RF Module

FEKO

Job description

Full‑time position | San Mateo, CA

As a Forward Deployment Engineer, you'll be at the forefront of deploying game‑changing technology to engineering leaders in aerospace, automotive, and other sectors. You'll work directly with companies that are designing tomorrow's breakthrough products, helping them accelerate their innovation cycles and achieve better designs by integrating Luminary AI's platform.

What You’ll Do

• Pioneer Physics AI adoption by leading the end-to-end integration of our platform for customers ranging from hyper‑growth startups to the Fortune 100.
• Work closely with customers to identify high‑impact opportunities and design bespoke solutions that adapt the platform to their specific needs.
• Opportunity to travel to customer sites to provide hands‑on support and work side‑by‑side to ensure successful implementation.
• Provide expert technical guidance and support throughout the customer lifecycle, from initial deployment to ongoing optimization.
• Collaborate with cross‑functional teams by translating customer needs and insights into actionable feedback for our product and research teams, directly shaping the next generation of Physics AI.

What You Bring

• Passion for engaging customers and traveling onsite. Industrial experience in electromagnetics — antenna design, EMC/EMI, signal integrity, radar cross‑section, or RF/microwave engineering — is highly valued.
• Proficiency in Python for scripting and automation, familiarity with a primary deep learning framework (e.g. PyTorch), and API/SDK workflows.
• Hands‑on experience with Physics AI or physics‑informed ML models applied to engineering simulation (e.g., surrogate modeling, neural operators, or data‑driven solvers).
• Hands‑on experience with containerization, distributed computing environments, and version control systems.
• Tech‑savvy mindset with enthusiasm for advanced computing and simulation technologies.
• Self‑starter mentality with the ability to work independently and drive results.
• Exceptional communication skills, particularly when engaging with technical audiences.

Preferred Qualifications

• An engineering or physics background (e.g., Electrical, Physics, RF/Microwave) with demonstrated expertise in computational electromagnetics and Physics AI.
• Experience with EM simulation software — such as ANSYS HFSS, CST Studio, COMSOL RF Module, FEKO, or similar — and associated workflows for full‑wave analysis, method of moments, or FDTD.
• Familiarity with physics‑informed AI/ML frameworks (e.g. PhysicsNeMo), or equivalent experience developing and deploying surrogate models for electromagnetic simulation.