What are the responsibilities and job description for the Lab Logistics, Warehouse Coordinator (Contractor) position at Etched?
About Etched
Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.
Job Summary
We are hiring a Logistics, Warehouse Coordinator to support daily material flow between our Etched HQ warehouse operations and in-house engineering labs. This role is critical to ensuring engineers have the right parts, tools, and systems available when needed to keep development and builds on schedule.
You will manage incoming and outgoing shipments, inventory organization, internal material distribution, and warehouse processes while maintaining high accuracy and safety standards. This role is ideal for someone who thrives in a fast-paced hardware environment and takes pride in operational excellence across logistics and warehouse workflows.
Key Responsibilities
This is a 1099 contract position, expected to be 40 - 50 hours per week. Compensation is hourly and competitive, based on experience and qualifications.
As a contractor, this role is not eligible for full-time benefits (e.g., medical, dental, vision insurance), but you will have:
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.
Job Summary
We are hiring a Logistics, Warehouse Coordinator to support daily material flow between our Etched HQ warehouse operations and in-house engineering labs. This role is critical to ensuring engineers have the right parts, tools, and systems available when needed to keep development and builds on schedule.
You will manage incoming and outgoing shipments, inventory organization, internal material distribution, and warehouse processes while maintaining high accuracy and safety standards. This role is ideal for someone who thrives in a fast-paced hardware environment and takes pride in operational excellence across logistics and warehouse workflows.
Key Responsibilities
- Receive, inspect, and log incoming shipments, including components, assemblies, tools, and equipment
- Verify quantities and documentation against purchase orders, packing lists, and bills of lading
- Coordinate with Supply Chain and Engineering teams on discrepancies or damaged goods
- Label and route materials to appropriate lab benches, storage locations, or build areas
- Maintain accurate inventory records in internal systems and spreadsheets
- Maintain real-time visibility into material status via ERP (NetSuite) and inventory tracking tools
- Organize and manage storage areas to ensure efficient retrieval and clear part identification
- Conduct cycle counts and support inventory reconciliation efforts
- Maintain clean, safe, and organized lab and warehouse spaces
- Operate basic material-handling equipment, such as pallet jacks and carts
- Ensure compliance with safety and handling requirements for sensitive components, including ESD, fragile, and high-value parts
- Identify opportunities to improve labeling, storage systems, and material flow efficiency
- Interface with lab and engineering teams to understand material requirements and distribute supplies efficiently
- Stage materials for engineering builds and test activities
- Coordinate material movement between lab spaces, warehouse, and manufacturing partners
- Manage RMA shipments and outbound logistics as needed
- Document and improve lab logistics workflows
- 2–5 years of experience in warehouse operations, shipping/receiving, or inventory control
- Familiarity with ERP or inventory tracking systems, such as NetSuite or SAP
- High attention to detail and ability to follow standard operating procedures precisely
- Strong communication skills and ability to coordinate closely with Engineering and Operations teams
- Comfort working in a hands-on, physical environment, including lifting and moving materials up to approximately 25 lbs
- Basic proficiency with spreadsheets and inventory tracking systems
- Prior lab or warehouse experience in a semiconductor or hardware environment
- Familiarity with startup operations or fast-paced R&D cycles
- Experience supporting inventory audits or compliance processes
This is a 1099 contract position, expected to be 40 - 50 hours per week. Compensation is hourly and competitive, based on experience and qualifications.
As a contractor, this role is not eligible for full-time benefits (e.g., medical, dental, vision insurance), but you will have:
- Paid access to daily lunch and dinner at our San Jose office
- Opportunity to grow into a full-time role as our operations scale
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.