--- title: 'Control Systems Engineer at Matter Intelligence' canonical: 'https://feeny.ai/job/control-systems-engineer-matter-intelligence-el-segundo-gfege830devd' type: 'job' last_seen: '2026-09-20' --- # Control Systems Engineer at Matter Intelligence - **Company:** Matter Intelligence - **Location:** El Segundo, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-15 - **Last confirmed live:** 2026-09-20 - **Apply:** https://jobs.ashbyhq.com/matter-intelligence/bbb17e3b-e3fa-46d8-a9ad-5cba319a340e ## Job description ## 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 a Control Systems Engineer to develop and validate the control approaches that enable stable, accurate performance of our sensing systems. The role will connect modeling and simulation with hardware integration, test, and real-world system behavior. ## Key Responsibilities - Develop models and control algorithms for relevant payload, pointing, stabilization, or subsystem functions. - Translate performance requirements into control architectures, interfaces, and verification plans. - Use simulation and test data to evaluate stability, robustness, and expected system performance. - Support software, firmware, electronics, mechanical, and systems teams during integration and troubleshooting. - Plan and execute model-in-the-loop, hardware-in-the-loop, and system-level validation as appropriate. ## Qualifications Required - Strong foundation in dynamics, feedback control, estimation, and system modeling. - Experience developing, simulating, and validating controls for a physical system. - Ability to work across analytical models, software implementation, hardware interfaces, and test data. - Clear technical communication and disciplined documentation of assumptions and performance results. ## Preferred - Experience with aerospace, robotics, precision pointing, optical systems, or other tightly controlled hardware. - Experience with real-time systems and hardware-in-the-loop testing. - Familiarity with sensor fusion, calibration, or estimation under uncertain operating conditions. What Success Looks Like - Control performance is modeled, tested, and understood against clear system requirements. - Algorithms transition cleanly from simulation into integrated hardware and software. - The team can diagnose performance limits and make informed design tradeoffs using validated evidence. Location This role is based in El Segundo, 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. ## 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. 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