Top Tech Jobs & Startup Jobs

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.