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FieldAI
Irvine, CA
Source: FieldAI careers · View original posting
From FieldAI's posting. “We” and “our” refer to the employer.
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Supply Chain Manager, Robotics Hardware
The Supply Chain Manager will be responsible for ensuring uninterrupted supply continuity across both in-house and outsourced manufacturing operations. This role will drive material planning, supplier performance, production readiness, inventory optimization, and cost management to ensure payloads and systems are built on schedule and meet all downstream demand requirements.
The ideal candidate combines strong operational execution with strategic supplier management, excels in fast-paced environments, and has experience supporting complex electromechanical products from prototype through production scale.
B.S., M.S., or equivalent experience in Supply Chain Management, Industrial Engineering, Business, Mechanical Engineering, Electrical Engineering, or a related field.
Minimum of 3+ years of hands-on experience in procurement or supply chain management.
Experience in hardware procurement and supply chain management, including strategic sourcing, vendor/supplier selection, and make-vs-buy decisions.
Strong understanding of MRP/ERP systems, inventory planning, and demand forecasting.
Experience negotiating with vendors, fabrication houses (PCB, CNC), and contract manufacturers, including contract terms, SLAs, and pricing agreements.
Strong organizational systems experience such as asset tracking, inventory management, or equipment/asset management at scale, including barcoding and chain-of-custody systems.
Comfort with cost modeling, BOM cost analysis, budgeting/forecasting, and total cost of ownership (TCO) evaluations.
Ability to work cross-functionally with engineering, finance, and legal to align procurement strategy with product roadmaps.
Experience scaling supply chains from prototype or low-volume production to large-scale, high-volume manufacturing across multiple vendors.
Experience supporting hardware deployed in harsh, diverse industrial field environments such as construction, energy, and mining, across global deployments.
Experience supporting robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots, spanning wheeled, quadruped, or humanoid embodiments.
Experience with ERP/MRP or PLM systems, spend analysis, procurement KPI reporting, and cross-functional roadmap alignment.
Experience working directly with Legal on procurement contracts (MSAs, NDAs, IP/liability terms), and familiarity with export controls (ITAR/EAR) and conflict minerals compliance.
APICS/ASCM, CPSM, or related supply chain certification.
Familiarity with hardware domains such as mechanical components, electrical systems, sensors, robotics/actuation, LiDAR, or embedded computing.
Compensation
The salary range for this role is $100,000-$200,000.
The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field
, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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