Early Career Systems Engineer

Matter Intelligence
El Segundo, US
On-site

Who this role is best for

Early-career engineers with systems thinking and hands-on technical experience will find this role in aerospace systems engineering with a focus on airborne and space-borne remote sensing systems.

Best fit for

  • Candidates with a background in aerospace, electrical, or mechanical engineering and a willingness to work on hardware and software integration
    — “B.S. in aerospace, electrical, mechanical, or a related technical discipline, or equivalent practical experience.”
  • Individuals with experience in system-level analysis, trade studies, and verification planning
    — “Exposure to requirements, interfaces, trade studies, integration, test, verification, or configuration-controlled technical work.”
  • Those who have worked on flight hardware, airborne systems, or remote sensing projects and seek hands-on technical ownership
    — “Take increasing technical ownership of an assigned function, interface, analysis, budget, or verification area as experience and judgment grow.”

Things to consider

  • This role demands a strong ownership mindset and attention to detail in system-level documentation and verification
    — “Clear written and verbal communication, intellectual honesty about uncertainty, careful documentation, and a strong ownership mindset.”
  • Candidates should be prepared for direct involvement in hardware bring-up, environmental testing, and anomaly investigations
    — “Participate directly in hardware bring-up, functional checkout, environmental and performance testing, airborne campaigns, and flight-like operations.”

How to stand out

  • Highlight end-to-end systems engineering experience, including interface definition and verification strategies
    — “Work across optics, electrical, mechanical, thermal, avionics, software, mission operations, and AI&T to define, document, and verify internal and external interfaces.”
  • Showcase ability to translate mission needs into system architectures and requirements with traceability
    — “Shape mission objectives, science needs, and concepts of operation into coherent system architectures and clear, achievable, and verifiable requirements.”
  • Emphasize experience with Python or MATLAB for engineering analysis and data visualization
    — “Experience with Python, MATLAB, or similar tools for engineering analysis and data visualization.”
  • Demonstrate technical leadership through examples of preparing concise technical products for reviews or decision forums
    — “Prepare clear, concise technical products for working meetings, peer reviews, design reviews, test-readiness reviews, and decision forums.”
  • Illustrate problem-solving with first-principles analysis and handling of uncertainty in complex systems
    — “Dig into challenging engineering problems using first-principles analysis, modeling, heritage, test data, and thoughtful treatment of uncertainty.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • shaping mission objectives into system architectures
  • defining and verifying internal and external interfaces
Typical background
systems engineeringrequirements management

Skills & requirements

Required

Systems EngineeringRequirements ManagementArchitectureVerification And ValidationIntegration

Preferred

Space-borne Remote-sensing SystemsAir-borne Remote-sensing Systems

Stack & domain

Systems EngineeringArchitectureDesignVerificationValidationIntegrationTestAnomaly ResolutionRequirements ClosureSystem AnalysisInterface ControlAISpace-borne Remote-sensing SystemsAir-borne Remote-sensing SystemsProblem-solvingTeamworkCommunicationTechnical JudgmentReliable ExecutionEngineeringSpace TechnologyRemote Sensing

About the role

Original posting from Matter Intelligence via Ashby

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 built core infrastructure at OpenAI. We are now building the next generation of space- and airborne-based sensing systems.

ABOUT THE ROLE

We are seeking an early career Systems Engineer to support the architecture, design, verification, validation, and I&T of air-borne and space-borne remote-sensing systems. This role is intended for an early-career engineer who wants broad, hands-on exposure to real hardware and software that flies while developing strong systems engineering judgment.

Working closely with systems engineers, subject matter experts, and subsystem leads, you will help translate mission needs into system architecture, technical requirements, allocations, budgets, internal and external interfaces, trades, and technical risks. You will also help define the verification and validation strategy, support requirements closure, perform system analyses, support integration and test, investigate anomalies, and contribute to mission operations.

This is not a requirements-management role. This is true systems engineering, an opportunity to develop an end-to-end technical understanding and learn what it takes to maintain the technical integrity of a complex system. The role emphasizes learning by doing, with increasing responsibility and ownership as you demonstrate sound technical judgment and reliable execution.

KEY RESPONSIBILITIES

Requirements, Architecture, and System Analysis

  • Shape mission objectives, science needs, and concepts of operation into coherent system architectures and clear, achievable, and verifiable requirements.
  • Connect the dots across requirements, functions, interfaces, operating scenarios, assumptions, rationale, and verification maintaining traceability from mission intent through test.
  • Help establish and evolve the system technical baseline as the architecture matures and new information emerges.
  • Dig into challenging engineering problems using first-principles analysis, modeling, heritage, test data, and thoughtful treatment of uncertainty while gaining hands-on experience with space and airborne payloads.
  • Evaluate design changes across the full system, identifying downstream impacts to requirements, interfaces, operations, performance, and verification.

Interfaces, Integration, and Verification

  • Work across optics, electrical, mechanical, thermal, avionics, software, mission operations, and AI&T to define, document, and verify internal and external interfaces.
  • Support interface-control working groups and maintain interface requirements, agreements, open items, and verification evidence.
  • Help develop the system verification and validation approach, including verification methods, success criteria, events, configurations, and required evidence.
  • Support integration planning, test readiness reviews, procedure development, test execution, data review, anomaly resolution, and requirements closure.
  • Participate directly in hardware bring-up, functional checkout, environmental and performance testing, airborne campaigns, and flight-like operations.
  • Investigate anomalies by organizing evidence, reproducing failures where practical, evaluating root-cause hypotheses, and tracking corrective actions through closure.
  • Evaluate test results and operational behavior in the context of the end-to-end system—not solely against individual pass/fail criteria.

Technical Leadership and Growth

  • Prepare clear, concise technical products for working meetings, peer reviews, design reviews, test-readiness reviews, and decision forums.
  • Communicate technical status, assumptions, margins, uncertainties, risks, liens, and recommended actions clearly.
  • Ask effective questions, seek technical review at appropriate decision points, and incorporate feedback into stronger engineering products.
  • Work closely with subsystem cognizant engineers while maintaining awareness of cross-subsystem interactions and end-to-end system behavior.
  • Take increasing technical ownership of an assigned function, interface, analysis, budget, or verification area as experience and judgment grow.

QUALIFICATIONS

Required

  • B.S. in aerospace, electrical, mechanical, or a related technical discipline, or equivalent practical experience.
  • Typically 1–5 years of relevant experience; graduate research, capstone programs, student flight projects, laboratory work, and early professional experience count.
  • Strong analytical fundamentals and the ability to break an ambiguous technical problem into assumptions, first principles, and next steps.
  • Exposure to requirements, interfaces, trade studies, integration, test, verification, or configuration-controlled technical work.
  • Experience with Python, MATLAB, or similar tools for engineering analysis and data visualization.
  • Clear written and verbal communication, intellectual honesty about uncertainty, careful documentation, and a strong ownership mindset.
  • Willingness to work hands-on with hardware and software, support onsite I&T, operations as needed.

Preferred

  • Hands-on experience with testing, prototyping, flight hardware, flight software, student spacecraft/unmanned aerial systems teams, or integrated EO/IR systems.
  • Familiarity with requirements, verification validation, and integration and test
  • Coursework or experience in systems engineering, orbital mechanics, optics, remote sensing, avionics, thermal systems, mechanical, or software
  • Experience in a fast-paced, multidisciplinary, startup, research, aerospace, or mission-operations environment.

What Success Looks Like

  • Within 30 days, you can navigate the system architecture, technical baseline, key requirements and interfaces, test environments, and team decision paths.
  • Within 60 days, you have delivered a reviewed technical product—such as an analysis, trade study, requirement or interface update, resource budget, or verification product—and supported an integration or test activity from planning through data review.
  • Within 90 days, the team trusts you to take technical ownership of a scoped function, interface, resource budget, analysis, or verification area, with appropriate guidance and senior review.

LOCATION & ITAR

This role is based in El Segundo, CA. Onsite work is required, with field deployments and test campaigns as needed.

Due to the nature of the work, candidates must be a U.S. citizen, lawful permanent resident, protected individual, or otherwise eligible for authorization under U.S. export control laws, including ITAR and EAR requirements.

Source: Matter Intelligence careers (Ashby)

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