Graduate Mechanical Engineer (Intern)

Reposted 9 Days Ago
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London, Greater London, England, GBR
In-Office
Internship
Artificial Intelligence • Machine Learning • Software • Energy • Renewable Energy
The Role
Six-month graduate internship supporting mechanical design, CAD restructuring, BOM generation, GA drawing production, supplier drawing packs, fastener library creation, part release tracking, and drawing updates to support manufacturing of battery energy storage systems.
Summary Generated by Built In
Company Description

Are you a Graduate Mechanical engineering student? Do you love DIY, building and prototyping in your spare time? Ideally you are part of your university’s Formula student team or have worked on projects related to automotive, motorsport or energy storage; you want to demonstrate your mechanical design skills; and want to work in a fast-paced start up environment.

This is a unique opportunity to join a fast-growing London based start-up that is creating an all-new range of battery storage systems for both commercial and consumer markets. You will be responsible for the design, build and test of our energy storage systems,

This is an exciting role that offers the opportunity to be at the forefront of an emerging industry and make a lasting impact on the future of energy storage with a duration of 6 months. 

    Job Description

    • Support restructuring of CAD assemblies to clearly separate base product features from customer-specific interfaces.
    • Assist in generating manufacturing-ready BOMs for the Max300 and other product variants.
    • Produce clear GA drawings for MAX range of BESS
    • Participate in design reviews to identify part duplication and opportunities for consolidation.
    • Create a fastener library with standard part numbers based on Allye’s conventions.
    • Help prepare drawing packs for suppliers, including manufacturing notes and tolerances.
    • Track part releases, revisions, and on-time delivery in collaboration with procurement.
    • Support quality checks by updating drawings based on supplier feedback.

    Qualifications

    Must-haves

    • Masters graduate in mechanical, motorsport or automotive engineering
    • Hands-on experience from working in Formula student or similar
    • Excellent CAD skills (OnShape and/or SolidWorks preferred).
    • Experience working with electrical and mechanical components
    • Ability to work proactively with minimal support using a logical approach in an environment with minimal documented processes
    • Must be self-motivated and an effective team player
    • Eligible to work in the UK.

    Nice-to-haves

    • A basic understanding of High Voltage vehicle systems and safety.
    • Practical project experience involving soldering, fabrication, harnessing...
    • Knowledge of battery system technology including cell chemistries, BMS etc.

    Additional Information

    Strictly No Agencies

    Skills Required

    • Masters graduate in mechanical, motorsport or automotive engineering
    • Hands-on experience from working in Formula Student or similar
    • Excellent CAD skills (OnShape and/or SolidWorks)
    • Experience working with electrical and mechanical components
    • Ability to work proactively with minimal support using a logical approach
    • Must be self-motivated and an effective team player
    • Eligible to work in the UK
    • Basic understanding of High Voltage vehicle systems and safety
    • Practical project experience involving soldering, fabrication, harnessing
    • Knowledge of battery system technology including cell chemistries and BMS
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    The Company
    HQ: London
    15 Employees
    Year Founded: 2023

    What We Do

    Allye provides distributed energy storage at the grid edge to provide collective flexibility to the electricity network, helping accelerate decarbonisation of the grid while lowering energy costs for industrial, commercial and residential customers by up to 50%. Our smartly designed energy storage systems reimagine how batteries are connected, distributed and used. Flexible and modular, our batteries are self-learning, intelligently managed via the cloud to maximise cycle life and arbitrage on electricity prices. Using digital twins, we deploy machine learning and AI to optimise behaviour and performance as a collective of assets, to deliver benefits at an individual level to the end user and the energy network at a system level

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