Jobs at Matter Intelligence

Create precise 3D CAD models, assembly drawings, part drawings, and bills of material for airborne optical and optoelectrical hardware. Perform tolerance analyses, select materials, and translate optical requirements into manufacturable mechanical designs. Collaborate with engineering, manufacturing, supply chain, and suppliers; support prototypes, fit checks, integration, troubleshooting, drawing releases, revision control, and configuration updates.

Designs, analyzes, integrates, and qualifies precision optomechanical assemblies and optical payloads for space and airborne platforms. Responsibilities include optomechanical architecture, STOP analysis, tolerance analysis, GD&T, FEA, alignment, metrology, environmental testing, manufacturing documentation, vendor coordination, and technical leadership. The role owns designs from concept through flight hardware and requires hands-on integration, testing, cross-functional collaboration, and mentorship.

Build telemetry and observability across AI training, data, infrastructure, models, agents, and missions. The role establishes shared telemetry schemas, instruments distributed workloads and agent workflows, connects mission context to model behavior, and develops service objectives, alerts, reliability mechanisms, capacity and cost visibility, and incident tooling. Success requires correlating operational, scientific, and AI-system signals to diagnose failures and support safe deployments.

Develop and maintain embedded firmware, device drivers, and hardware-control interfaces for airborne and spaceborne sensing payloads. Support board bring-up, peripheral integration, command and telemetry, timing, fault handling, automated testing, hardware-in-the-loop testing, qualification, and flight operations. Diagnose hardware and firmware issues using instrumentation and test data, document root causes, and deliver reliable, traceable firmware releases.

Own the insurance data-product roadmap, working with P&C carriers to identify workflows, customer needs, economics, and adoption barriers. Translate Matter’s spectral and geospatial capabilities into product requirements, packaging, pricing, ROI frameworks, and scalable deployments. Partner with science, engineering, deployment, business development, and commercial teams to prioritize features, validate product-market fit, and launch insurer-ready products for property risk assessment.

Design workflows, interfaces, prototypes, and design systems that make complex sensing and AI data clear and actionable. Lead customer research, translate analytical capabilities into intuitive product experiences, validate concepts, and collaborate with product and engineering teams through implementation. The role focuses on data-rich software, expert workflows, and operational decision-making for physical-world intelligence products.

Leads enterprise IT operations and cybersecurity for a growing aerospace and AI company. Owns identity, endpoints, networks, cloud, collaboration systems, vendors, employee support, security controls, monitoring, incident response, compliance readiness, asset management, access reviews, and risk reduction. The role requires onsite leadership in San Francisco and experience scaling IT and security programs in regulated or sensitive environments.

Develop and maintain Matter’s Integrated Master Schedule, coordinate planning with engineering, science, and vendor teams, and create schedule performance reports. Analyze resource planning, costs, procurement, supply chain, and execution data to support program management. The role requires schedule risk analysis, baseline management, reporting, and guidance for multidisciplinary teams throughout aerospace or complex project lifecycles. It is based onsite in El Segundo, California, with field deployments and test campaigns as needed.

Build production AI and agentic workflows that combine physics-informed models, LLMs, VLMs, scientific data, retrieval, memory, and deterministic rules. Develop secure, durable systems with evidence-backed outputs, permissions, auditability, human approval, and recovery capabilities. Evaluate performance for task success, scientific validity, safety, latency, cost, and human intervention while partnering with product and design teams to deliver customer-facing intelligence tools for operational decision-making.

Build end-to-end software products that transform ultraspectral sensing data, geospatial information, and AI outputs into customer-facing intelligence applications. Develop React interfaces, Python backend services, APIs, data integrations, and geospatial workflows. Deploy and operate reliable AWS services while maintaining testing, observability, performance, documentation, and production support. Collaborate with product, design, AI, infrastructure, and users to deliver capabilities from concept through deployment.

Provides deep subject-matter expertise, strategic guidance, technical advice, data analysis, research, and actionable insights. The SME collaborates cross-functionally with teams and stakeholders, supports training and documentation, and contributes to quality assurance in a high-tech geospatial AI environment.

Own the end-to-end electrical architecture for advanced sensing payloads and airborne and spaceborne systems. Define interfaces, power, signal integrity, data paths, grounding, reliability, requirements, budgets, and verification approaches. Lead trade studies and technical reviews while guiding schematic design, board development, bring-up, integration, testing, risk resolution, and flight-readiness evidence. The role requires onsite work in El Segundo, California and compliance with applicable ITAR eligibility requirements.

Build production AI and agentic workflows combining physics-informed models, LLMs, VLMs, scientific data, retrieval, memory, tools, and deterministic rules. Develop secure, durable systems with permissions, auditability, human approval, evidence lineage, and recovery capabilities. Evaluate system performance for task success, groundedness, safety, latency, cost, and scientific validity. Partner with product and design teams to deliver customer-facing intelligence products supporting operational decisions.

Build versioned datasets, benchmark suites, simulation environments, and evaluation infrastructure for AI models and agents. Develop reproducible testing across accuracy, robustness, safety, calibration, latency, cost, and operational outcomes. Convert field and customer failures into durable test cases, adversarial evaluations, and environment scenarios. Establish release gates and communicate evidence, uncertainty, capability, and residual risk. The role requires strong statistical and experimental foundations, Python and machine-learning framework fluency, and software engineering discipline.

Leads product strategy, roadmap development, customer requirements, deployment planning, and cross-functional delivery for technically complex sensing and intelligence products. Establishes readiness criteria, operating handoffs, performance feedback loops, and prioritization processes to move customer pilots into repeatable deployments. Requires strong product leadership in complex hardware, data, analytics, or software environments, with onsite work in San Francisco.

Designs and maintains detailed mechanical assemblies, drawings, and bills of material for airborne payload hardware. Translates optical, electrical, thermal, and structural constraints into manufacturable packaging solutions. Supports prototyping, fabrication, assembly, integration, testing, troubleshooting, and flight operations while maintaining configuration control and incorporating build and test feedback.

Develop and validate control algorithms, models, architectures, and verification plans for advanced sensing systems. Evaluate stability and performance through simulation, hardware-in-the-loop, and system-level testing. Collaborate with software, firmware, electronics, mechanical, and systems teams during integration and troubleshooting. Support the transition of algorithms from simulation to hardware while diagnosing performance limits and guiding design tradeoffs.

Lead Matter Intelligence’s government and strategic business development across Indo-Pacific markets, initially Japan and South Korea. Build country strategies, government and industry relationships, partner ecosystems, qualified pipelines, capture plans, proposals, negotiations, and contract conversions. Translate sensing and intelligence technologies into mission-specific opportunities, coordinate technical and commercial teams, navigate procurement and compliance requirements, and develop sovereign or locally integrated solutions. Extensive regional travel and engagement with defense, intelligence, aerospace, space, and civil-government stakeholders are required.

Design, integrate, align, calibrate, and operate optical systems for airborne sensing payloads. Conduct optical trade studies, define interfaces and tolerances, execute laboratory and field testing, analyze flight-test results, troubleshoot performance gaps, and document requirements, test methods, calibration outcomes, and configuration changes.

Lead recruiting strategy and execution across technical, operational, and leadership roles. Partner with executives and hiring managers on role definition, interview design, evaluation, and hiring decisions. Build scalable recruiting operations, sourcing pipelines, candidate communications, hiring metrics, employer branding, offer processes, onboarding handoffs, and people processes for an early-stage technical company.