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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ADAS/AD Systems and Integration Engineer - **Company:** Lucid Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, C++ (Programming Language), Computer Engineering, Software Debugging, Embedded Software, Ethernet, Hardware-In-The-Loop Simulation, Human-Computer Interaction, Python (Programming Language), Verification and Validation (Software), SQL Databases, Systems Modeling Language, Test Data, Jama (Software), Data Logging, State Machines, Information Technology, Data Analytics - **Published:** October 20, 2026 - **Apply:** https://startup.jobs/sr-adas-ad-systems-and-integration-engineer-lucid-motors-company-10540101 ## About the Role * Bachelor's degree in electrical, mechanical, automotive, aerospace, or computer engineering, computer science, robotics, or a related discipline, or equivalent practical experience. * 6+ years of relevant engineering experience, including hands-on systems ownership for ADAS, automated driving, or similarly complex safety-critical vehicle or robotics systems. * Experience taking a feature through requirements, architecture, integration, and verification, with clear examples of technical decisions and issues you personally resolved. * Working knowledge of the autonomy stack and its vehicle-level interactions, including sensor and compute limitations, perception/planning/control interfaces, timing, diagnostics, and degraded operation. * Ability to write testable requirements, define interfaces and acceptance criteria, manage traceability, and use scenario-based testing and quantitative analysis to assess system behavior. * Practical programming and data-analysis skills in Python or C++, and confidence interpreting logs, Vector tools (CANalyzer) navigating software, and debugging integrated systems. * Working knowledge of functional safety (ISO 26262) and safety of the intended functionality (ISO 21448/SOTIF), with the ability to collaborate effectively with safety specialists. * Strong technical communication and cross-functional problem-solving skills; comfortable owning a defined scope, documenting assumptions, and driving alignment without direct authority. Preferred: * Experience working on supervised point to point driving (L2++) OR L3/L4 autonomy * Experience with learned or end-to-end driving approaches and modular autonomy stacks, including how their limitations and trade-offs affect requirements, observability, and validation. * Hands-on vehicle integration, automotive networks such as CAN and Ethernet, and sensor/compute integration, synchronization, diagnostics, or redundancy. * Large-scale scenario mining, simulation evaluation, fleet-data analytics, SQL, or statistical methods for evaluating rare events and coverage. * Requirements and architecture tools such as Jama, DOORS, or SysML/MBSE, plus experience with supplier interfaces, release readiness, or applicable NCAP and UNECE requirements. ## Description * Own the systems definition and delivery of assigned driving features: use cases, operating conditions, operational design domain (ODD), behavioral requirements, limitations, and measurable acceptance criteria. * Decompose vehicle-level objectives into functional, performance, and safety requirements. Allocate performance budgets and maintain traceability from stakeholder needs through implementation and verification evidence. * Develop functional architectures, state machines, interface specifications, and clear hardware/software ownership boundaries. Evaluate trade-offs involving sensors, compute, latency, vehicle interfaces, and algorithm capability. * Specify activation, availability, mode transitions, driver interaction, fault response, and degraded behavior. Distinguish L2 driver-supervision responsibilities from L4 system responsibilities, including fallback and minimal-risk behavior where applicable. * Partner with perception, localization, prediction, planning, controls, embedded software, vehicle integration, and HMI teams to resolve dependencies and deliver coherent end-to-end behavior. * Define scenario-based verification and validation strategies across simulation, software-/hardware-in-the-loop, proving-ground, and on-road testing. Connect each requirement to a test method and objective pass/fail criteria. * Work with data and test teams to establish feature metrics, logging needs, scenario coverage, and dataset representativeness. Use fleet and test data to identify gaps and prioritize improvements. * Investigate failures and performance limitations using vehicle logs, software behavior, and targeted experiments. Drive root-cause resolution, regression coverage, and assessment of changes across releases. * Collaborate with functional safety and SOTIF engineers on hazard analysis, foreseeable misuse, triggering conditions, safety mechanisms, and supporting evidence; incorporate relevant standards and regulatory requirements. * Lead technical reviews within your feature scope, communicate risks and trade-offs, and coordinate with program teams, suppliers, and technology partners to support integration and evidence-based release decisions.