Agent Infrastructure (IC)
TLDR
Build production systems that turn physics-informed AI into secure, evidence-backed intelligence with durable workflows and human approval.
About Matter Intelligence
Welcome to Matter, where we are building the future of vision AI: pairing a world-first sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model that will be the most powerful intelligence engine for the physical world. This system doesn't just see what something looks like; it understands everything from a single pixel. We call this Superintelligent Vision.
Our team has delivered technologies to Mars for NASA/JPL, designed advanced sensors for U.S. Defense, and frontier artificial intelligence systems. We are now building the next generation of space- and airborne-based sensing systems.
About the Role
Matter is hiring an Agent Infrastructure Engineer to build the production systems that turn physics-informed and general-purpose AI into secure, evidence-backed intelligence and action. Reporting to Ignacio Cases Martin, this hands-on individual contributor will work across agent runtimes, reasoning graphs, model routing, retrieval, memory, tools, durable execution, and human approval in partnership with research, platform, product, design, and evaluation teams.
Key Responsibilities
Build and operate a production agent runtime that composes physics-informed models, LLMs, VLMs, world models, scientific code, data services, and deterministic business rules through stable interfaces.
Design durable execution with state, planning, tool selection, retries, timeouts, cancellation, checkpoints, provenance, human approval, and recovery.
Build retrieval, RAG, memory, and indexing patterns that respect tenancy, permissions, freshness, versioning, retention, and evidence lineage.
Create evidence-first outputs that distinguish source data, model inference, system-generated synthesis, user input, and unresolved uncertainty.
Integrate continuous evaluation across task success, groundedness, scientific validity, safety, latency, cost, and human intervention.
Partner with product, design, AI platform, Signal and Evaluation, and Telemetry teams to create reusable APIs, tools, and human-in-the-loop workflows without one-off orchestration.
Qualifications
Required
Experience building production agent infrastructure, applied-AI platforms, workflow engines, distributed systems, or complex AI products.
Strong hands-on software engineering skills across architecture, APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operations.
Practical experience with LLMs, VLMs, multimodal systems, RAG, memory, tool use, model routing, structured generation, and common agent failure modes.
Experience building systems with security, permissions, data isolation, auditability, and human approval requirements.
Sound product judgment and the ability to explain uncertain system behavior precisely across technical and non-technical teams.
Preferred
Experience with scientific, geospatial, industrial, defense, autonomy, or other high-consequence customer-intelligence systems.
Experience building multimodal applications that combine imagery, time series, maps, documents, structured data, or sensor streams.
Experience with agent evaluation, reinforcement learning or world-model environments, model routing, constrained decoding, or durable workflow systems.
Familiarity with edge or intermittently connected operation, local model execution, or mixed cloud and edge architectures.
What Success Looks Like
Production agents generate useful outputs with clear evidence, provenance, uncertainty, and human authority boundaries.
Long-running workflows recover predictably from unavailable models, tools, data, or network connectivity.
Reusable APIs, SDKs, tools, and graph components let teams create new agents without one-off orchestration.
Location
This role is based in San Francisco, CA, and requires onsite work.
ITAR Requirements
To comply with U.S. export regulations, applicants must be one of the following:
A U.S. citizen or national
A lawful permanent resident (green card holder)
Eligible to obtain required authorizations from the U.S. Department of State
Employee Offerings and Benefits
At Matter, we believe in rewarding high performance and providing the support you need to thrive. Our compensation and benefits package includes:
Competitive compensation based on experience
Early-stage equity package
100% employer-paid health, dental, and vision coverage
Opportunity to work on novel sensing, data, and AI systems with real-world deployment paths to the largest industries in the world
Matter Intelligence is an equal opportunity employer. We welcome candidates from all backgrounds who can raise the ambition and performance of the team.
Benefits
Equity Compensation
Early-stage equity package
Health Insurance
100% employer-paid health, dental, and vision coverage
Work on sensing, data, and AI systems with deployment opportunities
Opportunity to work on novel sensing, data, and AI systems with real-world deployment paths to the largest industries in the world
Matter Intelligence builds advanced sensing systems that integrate cutting-edge optics and AI to interpret and understand complex environmental data, from molecular chemistry to 3D shape. Aimed at sectors like Earth observation and defense, our technology enables unprecedented insights into the physical world, driven by a team with a track record of delivering groundbreaking solutions for organizations like NASA and OpenAI.
- Founded
- Founded 2023
- Employees
- 11-50 employees
- Industry
- Internet Software & Services
- Total raised
- $12M raised