Senior Manager, Autonomy Hardware Systems Engineering

We are looking for a seasoned Systems Engineering leader to manage the Autonomy Hardware Systems organization. You will lead a functional organization divided into two core pillars: System Design & Analysis and Verification & Validation (V&V).In this role, you will focus on the comprehensive system architecture and integration of our autonomy hardware. You will own the engineering V-model, ensuring a seamless flow from system requirements down to subsystem and component requirements. Your teams will be responsible for system validation and ensuring that changes in hardware/firmware are managed across the company and rigorously traced back to requirements.

In this role, you will: :
Work with Systems Engineering Toolchains: Proficient in requirements management and traceability tools (e.g., JAMA, DOORS, Polarion). Lead System Architecture & Integration: Strong technical understanding of integrating complex compute platforms, high-speed networking (Automotive Ethernet), and multi-modal sensor suites. Manage VnV Lifecycle Management: Ability to own the outcome of the system, ensuring comprehensive test coverage from component to system level. Experience executing sensor test frameworks that incorporate metrics from downstream SW algorithms. Work in Cross-Functional Leadership: Exceptional skill in navigating matrixed environments, distinguishing between component, subsystem, and system responsibilities, and driving consensus across HW, SW, and Safety teams.

Qualifications:
10+ years of experience in Hardware Systems Engineering within complex, safety-critical industries (Automotive, Robotics, Aerospace). 5+ years of people management experience, specifically managing other managers or team leads. Demonstrated success in defining and executing the Systems Engineering V-Model, with a track record of connecting high-level product requirements to concrete engineering specifications. Experience managing system validation strategies, system integration testing, and closing the loop on field/test regressions. Proven ability to create and organize engineering workflows to drive organizational clarity.

Bonus Qualifications:
Simulation & Modeling: Exposure to 3D simulation environments and Model-Based Systems Engineering (MBSE) workflows. Functional Safety Knowledge: Familiarity with ISO 26262 and SOTIF standards. Automotive Testing Methodologies: Familiarity with automotive test standards.

About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.