Manufacturing Engineer, Document Control at Dexterity

Redwood City, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Warehouse AutomationIndustries

Requirements

Experience in manufacturing engineering or a related field
Strong understanding of Bill of Materials (BOM) management and configuration management processes
Experience with Product Lifecycle Management (PLM) systems (e.g., Teamcenter)
Excellent organizational and communication skills
Ability to collaborate effectively with cross-functional teams (Engineering, Manufacturing, Supply Chain)
Detail-oriented and committed to accuracy

Responsibilities

Ensure the accuracy and completeness of product data, including 3D models, 2D drawings, part numbering, BOM, electrical schematics, and documentation
Oversee the generation and release of Engineering and New Product Introduction (NPI) support documentation
Maintain the integrity of Dexterity’s Teamcenter PLM system
Create Engineering Change Orders (ECOs) through collaboration with Engineering teams
Publish ECO information and reports to notify relevant parties of changes
Continuously update the release and change management processes
Verify component availability and specifications
Recommend cost-saving opportunities and process improvements
Contribute to ensuring products are successfully brought to volume manufacturing and meet market demands

Skills

BOM Management

Configuration Management

PLM Systems

Teamcenter

Engineering Change Orders

ECOs

3D Models

2D Drawings

Part Numbering

Electrical Schematics

Dexterity

AI-powered robotic solutions for logistics

About Dexterity

Dexterity.ai develops AI-powered robotic technology aimed at improving logistics and supply chain management, particularly in trailer loading. Their robots autonomously pick and induct parcels into sorting systems at speeds faster than humans. A key feature of their technology is its ability to understand the environment in real-time without needing external data feeds or software integration, making it adaptable for various operations. Dexterity.ai serves a range of clients, from small businesses to large corporations like FedEx, focusing on enhancing operational efficiency, employee safety, and attracting talent through automation. They generate revenue by selling their robotic solutions and providing consultation services for technology integration, with the goal of transforming the logistics industry into a safer and more efficient environment.

Redwood City, CaliforniaHeadquarters

2017Year Founded

$190.8MTotal Funding

SERIES_BCompany Stage

Robotics & Automation, Industrial & Manufacturing, AI & Machine LearningIndustries

201-500Employees

Benefits

Flexible vacation time

Comprehensive healthcare benefits

Retirement plan

Wellbeing & fitness offerings

Insurance programs

Discounts & perks

Risks

Increased competition from companies using Generative AI could challenge Dexterity's market position.

Rapid AI and robotics evolution may render Dexterity's offerings obsolete without continuous innovation.

New labeling requirements could increase operational costs and complexity for Dexterity.

Differentiation

Dexterity's robots operate without needing data feeds or warehouse software integration.

Their technology offers real-time environmental understanding, enhancing adaptability in logistics settings.

Dexterity's AI-powered robots surpass human capabilities in trailer loading and parcel sorting.

Upsides

Dexterity's collaboration with FedEx showcases successful large-scale logistics automation.

Expansion into EMEA could increase market penetration and business opportunities.

Growing demand for automated labeling solutions boosts Dexterity's market potential.

Land your dream remote job 3x faster with AI

Try Jobo Free