Senior Manager, Autonomy Hardware Systems Engineering

Job Description

Job Description

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.

Base Salary Range

 

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

 

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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 View email address on ziprecruiter.com 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.