Senior Software Engineer: Agentic CAD Engine

Engg; Long Beach (CA); On-site; USD 154,000 - 230,000; Full time

Benefits offered by this job

Competitive salary and equity

PTO and sick leave

Parental leave

Learning and development stipend

Job summary

Relativity Space is hiring a senior software engineer for the Awerx CAD team to own the architecture of a shared 3D engine that supports multiple customer-specific products and to lead the customer-facing side of product engineering within Relativity’s agentic ecosystem.

You’ll collaborate across agent swarms and human-agent interfaces, review AI-generated work, and help scale the core engine to support evolving use cases. Compensation includes salary, equity, PTO, and learning stipends.

Qualifications

• 5+ years of software architecture experience.
• Experience with multi-platform products (game engines / CAD tools).
• Experience running agents and agentic tooling.
• Ability to learn new domains and technologies.

Responsibilities

• Own the architecture of a shared core 3D engine that supports multiple customer-specific products.
• Support teams bringing agentic designs into reality.
• Turn product requirements into architecture that holds up as the product line grows.
• Work with an agentic first (human) team across agent swarms and human-agent communication interfaces.
• Review and steer work produced by AI agents.
• Own the customer-facing side of product engineering and integrated product enhancements while maintaining mission critical agentic capabilities.

Skills

Software architecture

Multi-platform products

Agentic tools familiarity

Cross-language programming

Learning new domains

Tools

SolidWorks

Teamcenter

NX

CUDA

Job description

Relativity Space is hiring a senior software engineer for the Awerx CAD team to own the architecture of a shared 3D engine that supports multiple customer-specific products and to lead the customer-facing side of product engineering within Relativity’s agentic ecosystem.

You’ll collaborate across agent swarms and human-agent interfaces, review AI-generated work, and help scale the core engine to support evolving use cases. Compensation includes salary, equity, PTO, and learning stipends.