About The Position

We are currently seeking a Staff Systems Engineer, High Voltage Battery Software to drive development and integration of Lucid’s proprietary Battery Management System (BMS) software. In this role, you will bridge the gap between early-stage prototypes and global production releases, ensuring our energy storage and powertrain systems operate with maximum safety, efficiency, and performance. This position sits at the intersection of embedded software, power electronics hardware and vehicle network architecture. You will collaborate with engineers across systems engineering, hardware, controls, and verification and validation to perform complex architecture studies and drive architecture decisions, develop robust system requirements and drive hardware and software improvements for current and future Lucid vehicles. Our ideal candidate exhibits a proactive, can-do attitude and approaches their work systematically and diligently. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection in a fast-paced environment.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a technical related field is required.
  • 7+ years of experience in the field of BMS development or Energy Storage Systems developing embedded hardware and software for safety-critical, real-time systems
  • Deep understanding of Battery Management Systems, including cell modeling, state estimation (SoC/ SoH /SOP), cell balancing, and fault diagnostics
  • Demonstrated ability to translate high-level system requirements into low-level embedded hardware and software requirements
  • Proficiency with requirement management process and experience with using at least one requirement management tool such as JAMA, Polarion, or 3DX
  • Proven experience with cross-functional software integration, configuration management, and automated Hardware-in-the-Loop (HIL) testing frameworks
  • Proficiency analyzing large-scale vehicle telemetry data (Python, SQL, or MATLAB/Simulink) to drive engineering decisions

Nice To Haves

  • Experience with Model Based Systems Engineering methodology and tools such as Cameo, System Composer, etc.
  • Experience shipping OTA update pipelines for embedded/automotive systems at fleet scale
  • Hands-on experience with MATLAB/Simulink model-based design and auto-code generation for real-time targets
  • Familiarity with functional safety standards (ISO 26262/ASIL) and automotive cybersecurity (ISO 21434)
  • Experience with vehicle communication protocols and measurement data (CAN, CAN-FD, UDS, and isoSPI)
  • Familiarity with AUTOSAR architecture and its application in modern automotive software platforms
  • Experience with data pipelines and fleet-analytics tooling for anomaly detection and root-cause analysis
  • Proficiency in git tools and CI/CD for embedded software and automated regression testing

Responsibilities

  • Perform functional decomposition to translate complex vehicle-level requirements into clear, verifiable, and traceable BMS and energy storage requirements
  • Perform system analysis and simulations to architect robust, scalable BMS frameworks and propose concept of operations to cross-functional teams
  • Collaborate with safety and reliability teams to perform FMEA, FTA and safety analysis to enable development of fault-tolerant embedded systems capable of real-time, safety-critical execution.
  • Define verification procedure and clear PASS/FAIL criteria for requirement verification and work closely with V&V teams to successfully complete integration testing and guarantee release quality.
  • Leverage large-scale telemetry and fleet-health analytics to proactively monitor battery performance, diagnose anomalies, and triage complex field issues.
  • Develop, validate, and rapidly deploy OTA software mitigations to resolve field anomalies and continuously improve battery safety and longevity.
  • Own configuration management, versioning, and release processes to ensure reproducible, auditable, and compliant deliveries.
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