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  3. Mechanical Engineer - Battery Sorting, Energy Storage
Redwood Materials logo

Mechanical Engineer - Battery Sorting, Energy Storage

Redwood Materials
McCarran, NV
Full Time
Posted June 23, 2026
Energy Storage
~113 people viewed this recently
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Application opens on company website

Job Description

Do you want to design and build the automated systems that make battery recycling possible at scale?

Key Responsibilities

• Design, prototype, and implement mechanical assemblies for sorting line subsystems including infeed, outfeed, conveyors, diverters, and guarding • Collaborate with production engineering to troubleshoot and improve existing sorting equipment and processes to maximize throughput and uptime • Apply engineering fundamentals (structural sizing, mechanism design, tolerance analysis) to deliver robust hardware solutions • Create detailed models and engineering drawings in SolidWorks for custom fixtures, brackets, enclosures, and conveyor components • Support machine activation alongside the controls engineering team; participate in development testing and validation runs with production engineering • Assist with integration of sensors, cameras, and actuators into mechanical assemblies, ensuring hardware interfaces support the ML-based classification and computer vision pipeline • Contribute novel mechanical concepts and designs with the potential to generate intellectual property and patents

Requirements

• Bachelor's degree in Mechanical Engineering or a related engineering discipline • Experience using a CAD software design package (e.g., SolidWorks, NX, CATIA, or ProE) • Internship, co-op, or up to 2 years of professional experience in mechanical design (new graduates welcome) • Hands-on fabrication or prototyping experience (3D printing, sheet metal, welded structures, manual machining) • Exposure to conveyor systems, material handling equipment, or automated sorting/packaging machinery • Familiarity with sensor and actuator integration (encoders, servos, pneumatics, proximity sensors, cameras) • Interest in or exposure to machine learning, computer vision, or AI-enabled manufacturing systems • Understanding and application of GD&T • Experience working in or adjacent to a production or manufacturing environment • Comfort with engineering hand calculations and basic FEA • Ability to prioritize and execute tasks in a fast-paced, dynamic environment • Strong collaboration skills, including daily interactions with engineers, maintenance technicians, suppliers, and leadership • Work schedule may vary depending on site operational needs, and flexibility is required • Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time • Must be able to lift and carry up to 50 lbs. as needed

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