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AEye

Autonomous vehicle LiDAR perception platform provider

Senior Systems Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timePleasanton, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering, Systems Engineering, Physics, Applied Physics, Optics, Mechatronics, or a related field is required.
  • At least 5 years of systems engineering experience on optoelectronic or sensor products, preferably lidar or active depth sensing, in automotive, aerospace, or industrial markets is required.
  • Strong requirements engineering skills are required, including writing clear, verifiable requirements with verification methods and acceptance criteria, decomposing system targets into subsystem requirements, and maintaining traceability.
  • Hands-on experience with at least one requirements management tool, such as DOORS, Jama, Polarion, or Codebeamer, is required.
  • Experience defining and documenting system architectures and interfaces, including hardware/software partitioning and interface control documents covering electrical and data interfaces such as Automotive Ethernet, CAN, SPI, and I2C, is required.
  • Hands-on experience with at least one model-based systems engineering or architecture modeling tool, such as IBM Rhapsody, Capella, Cameo, or Enterprise Architect, is required.
  • A strong grounding in system physics, including lasers and device physics, optics, and signal processing, together with optical, electrical, mechanical, and thermal aspects of system design, is required.
  • Working knowledge of structured product development and quality processes and standards, such as ISO 9001, V-Model, ASPICE, ISO 26262, and AEC-Q, and the ability to contribute to functional safety work within them, is required.
  • Experience collaborating across architecture, hardware, software, firmware, and mechanical teams to drive system and subsystem specifications and resolve interface issues is required.
  • Strong technical documentation skills covering requirements, specifications, architecture descriptions, interface control documents, verification criteria, and reports are required.
  • Experience defining performance key performance indicators, building performance models, and analyzing measured data against system targets is required.
  • Scripting for data analysis is required; Python is preferred.

Responsibilities

  • Elicit, author, and maintain system requirements from customer, product, and regulatory inputs.
  • Decompose system-level targets into clear, verifiable subsystem requirements for electrical engineering, mechanical engineering, firmware, software, and optics, maintaining bidirectional traceability from stakeholder needs to verification results using a requirements management tool.
  • Contribute to defining and documenting the lidar system architecture, taking ownership of assigned areas such as functional decomposition, hardware/software partitioning, and subsystem interfaces across optical, electrical, firmware, software, mechanical, and thermal domains.
  • Author and maintain interface control documents for assigned areas, keep interface definitions consistent across disciplines, and support trade studies to validate architectural decisions.
  • Contribute to functional safety lifecycle activities per ISO 26262, including item definition, hazard analysis and risk assessment, safety goals, functional and technical safety concepts, and safety analyses including failure mode and effects analysis, failure modes, effects and diagnostic analysis, fault tree analysis, and dependent failure analysis.
  • Support the cybersecurity concept and threat analysis and risk assessment per ISO/SAE 21434, and safety of the intended functionality considerations per ISO 21448, in collaboration with hardware and software teams.
  • Define verification methods and acceptance criteria for every system and subsystem requirement, including requirements derived from environmental and eye-safety standards, and hand them off to the test and validation teams.
  • Review verification evidence to close requirements and keep the traceability matrix current; test plan authoring and test execution are owned by the test and validation teams, not this role.
  • Act as the technical systems liaison across architecture, hardware, software, firmware, and mechanical teams; contribute to design reviews, resolve interface, integration, and system-level performance issues, and support customer technical reviews and requests for information/request for quotation responses.
  • Support transition of prototypes through research and development validation into production, including production integration, design-for-X, and process and documentation deliverables required by automotive quality and qualification standards.
  • Define system performance key performance indicators, such as range, accuracy, precision, false alarm rate, and separability, and develop physics-based performance models linking them to subsystem parameters.
  • Analyze laboratory, field, and customer data against performance key performance indicators and requirements, identify root causes of performance gaps, and feed findings back into requirements, architecture, and trade studies.

Desired Qualifications

  • A master's or Ph.D. in a related field is preferred.
  • Experience across the full lifecycle of automotive, aerospace, or industrial sensor development and production, from concept and requirements through design, verification, qualification, and launch, is preferred.
  • Hands-on experience leading hazard analysis and risk assessment, safety concepts, and safety analyses including failure mode and effects analysis, failure modes, effects and diagnostic analysis, fault tree analysis, and dependent failure analysis, and familiarity with AUTOSAR and MISRA, is preferred.
  • Experience with automotive cybersecurity engineering per ISO/SAE 21434 and UN R155, including threat analysis and risk assessment, cybersecurity concepts, secure boot and secure communication requirements, and coordination with hardware and software security teams, is preferred.
  • Familiarity with safety of the intended functionality (ISO 21448) and its application to perception sensors is preferred.
  • Functional safety or cybersecurity certification, such as TÜV/SGS Functional Safety Engineer or ISO/SAE 21434 practitioner, or ASPICE assessor training, is preferred.
  • Understanding of thermal concepts in sensor system design, including power dissipation and heat paths, thermal budgets and derating, temperature limits, and thermal degradation of optical and electronic performance, including interpreting thermal simulation results and analyzing thermal test data, is preferred.
  • Hands-on experience evaluating and characterizing optical or electro-optical subsystems, including prototype bring-up, laboratory and field testing, and common failure modes, is preferred.
  • Experience with sensor calibration and its integration into production is preferred.
  • Experience with sensor fusion, time synchronization such as PTP, IEEE 802.1AS, and gPTP, and perception applications is preferred.

About the Company

AEye

Autonomous vehicle LiDAR perception platform provider

AEye designs and sells LiDAR-based perception systems for autonomous vehicles. Its iDAR platform combines 2D and 3D sensing with solid-state LiDAR hardware and software that processes scenes in real time to help cars understand their surroundings. Unlike approaches that separate sensing from perception, iDAR integrates hardware and perception software to improve data collection, interpretation, and object recognition, with licensing and ongoing service arrangements for automakers and tech developers. The goal is to raise benchmarks for LiDAR range and reliability to make autonomous driving safer and more efficient.

Company size
51-200
Company stage
IPO
Headquarters
Dublin, CA
Founded
2013

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