--- title: 'Data/ML Infrastructure Engineer at Matter Intelligence' canonical: 'https://feeny.ai/job/data-ml-infrastructure-engineer-matter-intelligence-san-francisco-95yvbmf31y9h' type: 'job' last_seen: '2026-09-06' --- # Data/ML Infrastructure Engineer at Matter Intelligence - **Company:** Matter Intelligence - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-27 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/matter-intelligence/976f195b-f676-4207-8a74-ee0ab42837e3 ## Job description ## ABOUT THE ROLE We are seeking a Data Infrastructure Engineer to build and operate the infrastructure that turns drone, aerial, and orbital sensing data into production datasets, models, and customer-facing insights. This role spans ingestion, processing, storage, compute, and serving, with a strong emphasis on reliability, observability, performance, and cost. You will work closely with research and product engineering to shorten iteration cycles, improve reproducibility, and raise the quality bar for production systems. You will define clear interfaces and operational standards that keep the platform trustworthy as data volume, model complexity, and product usage scale. ## WHAT YOU’LL DO - Design, build, and operate scalable data and ML infrastructure on AWS, including workloads running on Kubernetes - Build and maintain systems for ingestion, processing, storage, and serving, with strong guarantees around data quality, correctness, and operational safety - Partner closely with research to support perception model training and evaluation workflows, enabling faster experimentation and more reproducible iteration - Build platform primitives for observability, data versioning, lineage, evaluation, reproducibility, and operational excellence - Partner with product engineering to ensure data- and model-derived insights are accessible through reliable, low-latency serving and retrieval interfaces - Design systems that enable efficient access patterns for customer-facing products, including search, indexing, and large-scale querying - Identify and address bottlenecks in throughput, cost, and operational complexity as the platform scales ## WHAT WE’RE LOOKING FOR You have strong software engineering fundamentals and have built production systems where reliability, cost, and performance matter. You can reason clearly about distributed systems tradeoffs, and you have experience designing data-intensive infrastructure that other engineers depend on. You are comfortable working across data platform and ML platform concerns, and you understand how tightly coupled they become in production. You care about reproducibility, debuggability, and developer experience because you have seen how quickly they become bottlenecks. You work effectively across research and product teams. You can translate ambiguous needs into clear interfaces and systems, and you can drive work from design through production while maintaining a high quality bar. A few things we expect in this role: - Meaningful experience building production data infrastructure, ML infrastructure, or distributed systems - Strong programming skills in Python and SQL, with the judgment to choose the right abstractions and interfaces for production systems - Experience building and operating systems on AWS - Familiarity with modern infrastructure and platform tooling, including Kubernetes, Docker, and Terraform - Experience working with production storage and serving systems such as Postgres and Redis - Familiarity with data and ML workflow tooling such as Metaflow - Strong instincts for observability, testing, and operational excellence ## NICE TO HAVE - Experience supporting ML training, evaluation, batch inference, or model deployment in production - Familiarity with modern large-scale data patterns and tooling, including streaming, backfills, partitioning strategy, and schema evolution - Experience building internal platform primitives such as data versioning and lineage, dataset curation, experiment tracking, or tooling for reproducible workflows - Exposure to perception, multimodal, or geospatial systems, especially where data originates from real sensors and is used in real products ## LOCATION This is a full-time role based in San Francisco, CA. ## 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 & 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 across drone, aerial, and orbital platforms ## WHO YOU ARE You are a strong engineer who likes building reliable systems that other teams can trust. You care about infrastructure quality, operational rigor, and clear interfaces. You are energized by working close to the data, close to the models, and close to the product. ## About Matter Intelligence ## Company Overview - **One-liner**: Matter Intelligence builds a new vision ecosystem pairing the world’s first ultraspectral sensor with a foundational Large World Model that understands the physical world at a molecular level. - **Entity Type**: Private (Seed stage – $12M raised) - **Headquarters**: El Segundo, California, United States - **Founded**: 2023 - **Founders**: Vishnu Sridhar (CEO), Nathan Stein (Co-Founder and Founding Scientist) ## Core Business - **Primary industry/industries**: Space Research and Technology, Artificial Intelligence, Advanced Imaging/Sensors - **Target customers**: B2B – autonomous systems manufacturers, infrastructure monitoring firms, defense/space agencies, insurance, and robotics companies. - **Mission or purpose statement**: “Giving machines the ability to take actions with superintelligence” by bridging visual pattern recognition with physics-based reasoning. ## Products & Services - **Ultraspectral Sensor**: Captures thousands of spectral bands from ultraviolet to thermal infrared, revealing unique molecular fingerprints of materials. Not just higher resolution – an entirely different kind of never-captured information. - **Large World Model (foundational AI)**: Combines physics-informed learning with sensor data to identify materials with chemical precision, predict system failures, and enable robots to safely handle objects. - **Geospatial AI Platform**: Accelerates computer vision and contextual geospatial modeling for understanding and predicting real-world events from space to surface. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding $12M (Seed round, October 2024) - **Notable Investors/Partners**: Lowercarbon Capital (lead seed), International Research Centre on Artificial Intelligence (non-equity assistance), and six other seed investors. - **Growth Signals**: - Headcount grew 230% YoY to ~29 employees (as of mid-2025). - Active job postings: 15 (monthly +7.1%, quarterly +25%). - LinkedIn followers grew 170% yearly. - Opened offices in San Francisco and El Segundo, CA. ## Competitive Advantages - **First-of-its-kind ultraspectral sensor** that captures chemical and material properties, not just shapes/colors. - **Physics-informed AI** (Large World Model) that understands matter at a molecular level – a deep moat in computer vision and remote sensing. - **Strong ties to NASA JPL** (7 employees from JPL) and other top talent sources (UCLA, Harvard, Palantir, Millennium Space Systems). ## Strategic Focus - **Current priorities**: Scaling the sensor-hardware production, maturing the AI foundation model, and expanding into frontier customer deployments (autonomous systems, infrastructure monitoring, defense, insurance). - **Direction for growth**: Building the “vision infrastructure” for machines – from satellites to robots – enabling superintelligent perception of the physical world. ## Why Work Here - **Culture highlights**: In-office work environment (San Francisco and El Segundo). Emphasis on cutting-edge R&D at the intersection of hardware, optics, and AI. Small, fast-growing team with direct impact. - **Remote/hybrid policy**: In-Office (on-site required) per Built In and LinkedIn. - **Notable perks or engineering culture**: Work on frontier technology that “gives machines superintelligence.” Team includes former NASA JPL, Palantir, and DroneDeploy engineers. Strong focus on delivery and real-world deployment. Early-stage equity opportunity. ## Sources 1. [matter.com](https://www.matter.com/) 2. [jobs.ashbyhq.com/matter-intelligence](https://jobs.ashbyhq.com/matter-intelligence) 3. [linkedin.com/company/matter-intelligence](https://www.linkedin.com/company/matter-intelligence) 4. [builtin.com/company/matter-intelligence](https://builtin.com/company/matter-intelligence) ## Other roles at Matter Intelligence - [Chief of Staff](https://feeny.ai/job/chief-of-staff-matter-intelligence-san-francisco-5cyssfxk3ggd) — San Francisco, CA - [Head of Commercial Business](https://feeny.ai/job/head-of-commercial-business-matter-intelligence-san-francisco-h38ghve2r6m5) — San Francisco, CA - [Testbed Engineer](https://feeny.ai/job/testbed-engineer-matter-intelligence-el-segundo-887p2x46b78n) — El Segundo, CA - [Flight Software Engineer](https://feeny.ai/job/flight-software-engineer-matter-intelligence-el-segundo-rjgkyr0v1n9n) — El Segundo, CA - [Electrical Engineer](https://feeny.ai/job/electrical-engineer-matter-intelligence-el-segundo-9rxkh6mx3nb5) — El Segundo, CA - [Hyperspectral UAV Pilot](https://feeny.ai/job/hyperspectral-uav-pilot-matter-intelligence-el-segundo-xj5kmm81h7s8) — El Segundo, CA - [Senior Geospatial Scientist](https://feeny.ai/job/senior-geospatial-scientist-matter-intelligence-san-francisco-bwwp128ybfgk) — San Francisco, CA - [Early Career Test Engineer - Sensors](https://feeny.ai/job/early-career-test-engineer-sensors-matter-intelligence-el-segundo-fwtzt27j47c1) — El Segundo, CA - [Senior Opto Mechanical Engineer](https://feeny.ai/job/senior-opto-mechanical-engineer-matter-intelligence-el-segundo-zds563pt04a4) — El Segundo, CA - [Product Researcher - Insurance](https://feeny.ai/job/product-researcher-insurance-matter-intelligence-san-francisco-gadtq64c1err) — San Francisco, CA