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Additive Manufacturing Engineer (development) – intership

Spare Parts 3D, a pioneering company headquartered in France with offices in Singapore, revolutionizes the spare parts industry by offering cutting-edge 3D printing solutions to various sectors such as Railway, Oil & Gas, Home appliances, and semiconductors. Through our proprietary DigiPART™ software, we digitize spare parts inventories by providing data-driven insights that inform decision-making and drive AM deployment. Our worldwide access to networks of 3D printers in Australia, Europe, Asia, and America allows us to produce on-demand, anywhere, and anytime, significantly reducing warehousing costs and streamlining the supply chain.

If you are a proactive and ambitious individual seeking a challenging opportunity in a rapidly growing high-tech sector, don’t hesitate to apply now!

Job Summary:

As our AM Engineering Intern, you’ll be integral to our progress, contributing to the development of innovative features and enhancing existing ones. Your work will primarily aim to augment the quality and efficiency of our DigiPart Identify solution. Your scope of work will span across areas such as technical and functional part analysis, costing methods (both AM and conventional), and material science.

Key Responsibilities:

  • Work in collaboration with the Product Manager in devising and refining product features. For instance, you may contribute to brainstorming sessions for a new module within our DigiPart software.
  • Gather, organize, and sustain a robust database of critical technical data, such as material properties, process parameters, and part designs, supporting our developmental and operational activities.
  • Create innovative techniques and tools for the identification of parts suitable for additive manufacturing. This could include developing an algorithm for automated design analysis or a material selection process.
  • Record and document your developmental activities, which might involve creating a risk analysis report, performing FMEA for a particular manufacturing process, or drafting SOPs for newly introduced workflows.

Qualifications:

  • Education: Currently pursuing a Bachelor’s or Master’s in Mechanical/Industrial Engineering or a related field.
  • Analytical Skills: Strong problem-solving abilities with attention to detail.
  • Knowledge: Experience in either Mechanical design, Material selection, Process characterization, or Quality Processes.
  • Technical Proficiency: Comfortable with Python, data processing libraries (e.g., Pandas, NumPy), and databases (SQL, noSQL).
  • User-Centric: Practical, with a focus on user experience.
  • Motivated Team Player: Eager to learn and excel in a team setting.
  • Independent: Capable of focused, efficient work with minimal supervision.

Remember, we’re not just looking for someone who ticks all the boxes. We’re looking for a dynamic individual who’s ready to grow and evolve alongside us. If you see this as more than just an internship, but as a step towards your future, we’d be thrilled to welcome you to our team.

Learning Objectives:

This internship aims to enhance your skills and understanding in:

  • Cutting-edge 3D printing solutions and software,
  • Technical and functional part analysis, costing methods, and material science,
  • Python programming, focusing on data processing libraries and databases,
  • User-centric design and practical problem-solving,
  • Operations in a fast-growing high-tech company.

Mentorship and Support:

  • Guided by our Digital-CTO, Technical-CTO, and DigiPart Product Owner, you’ll have regular check-ins for progress review and feedback, facilitating a productive and enriching internship experience.

Application Process:

To apply, please submit your resume, cover letter, and any relevant work samples or portfolio pieces. In your cover letter, describe your interest in data analysis, as well as any previous experience with data processing and validation.

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Additive Manufacturing Engineer (delivery) – Internship

About Spare Parts 3D

Spare Parts 3D, a pioneering company headquartered in France with offices in Singapore, revolutionizes the spare parts industry by offering cutting-edge 3D printing solutions to various sectors such as Railway, Oil & Gas, Home appliances, and semiconductors. Through our proprietary DigiPART™ software, we digitize spare parts inventories by providing data-driven insights that inform decision-making and drive AM deployment. Our worldwide access to networks of 3D printers in Australia, Europe, Asia, and America allows us to produce on-demand, anywhere, and anytime, significantly reducing warehousing costs and streamlining the supply chain.

If you can take on responsibilities, are a go-getter, and are looking for a new challenge in a high-tech fast-developing sector, do not hesitate to apply now!

Role Overview:

As a key member of our delivery team working directly under our Technical-CTO, you will play a crucial role in the operation and delivery of DigiPart Identify projects to our customers. This role is not merely a job; it’s an invitation to be part of a dynamic delivery team with significant responsibilities and opportunities for learning, growth, and making a real impact.

Responsibilities:

In this role, your key responsibilities will include:

  1. Material Selection: You will be responsible for choosing the most suitable AM materials and conventional options, considering specifications, performances, and durability.
  2. Process Recommendation: You’ll provide critical insights into AM processes, identifying their capabilities and limitations to enhance project outcomes.
  3. Mechanical Specifications and Functional Requirements: You will identify and define the necessary mechanical specifications and functional requirements for each project.

Your responsibilities will offer a unique opportunity to fully immerse yourself in the additive manufacturing field, from recommending individual parts to identifying large-scale needs.

Additionally, this role comes with the responsibility of working closely with our COO and the rest of our operational team spread across Europe and Asia. To ensure you are well-prepared for these tasks, we provide comprehensive training on DigiPart Identify project delivery.

Requirements:

To succeed in this role, you should:

  1. Be currently enrolled in a Master’s degree in Material Science or Mechanical/Industrial Engineering.
  2. Have competency in Python and SQL.
  3. Be quality-focused with a pragmatic approach to delivery.
  4. Be exceptionally motivated with a strong desire to learn.
  5. Be a team player who enjoys collaborating with others.
  6. Be able to focus and operate efficiently with minimal supervision.

In this role, you will have the opportunity to be part of an exciting delivery team, learning from professionals while having a direct impact on our project operations and delivery. We are excited to help you learn, grow, and develop in the world of additive manufacturing.

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Engineering Data analyst (development) – internship

Spare Parts 3D, a pioneering company headquartered in France with offices in Singapore, revolutionizes the spare parts industry by offering cutting-edge 3D printing solutions to various sectors such as Railway, Oil & Gas, Home appliances, and semiconductors. Through our proprietary DigiPART™ software, we digitize spare parts inventories by providing data-driven insights that inform decision-making and drive AM deployment. Our worldwide access to networks of 3D printers in Australia, Europe, Asia, and America allows us to produce on-demand, anywhere, and anytime, significantly reducing warehousing costs and streamlining the supply chain.

If you are a proactive and ambitious individual seeking a challenging opportunity in a rapidly growing high-tech sector, don’t hesitate to apply now!

Job Summary:

As a Summer Engineering Data Management Intern, you will play a pivotal role in optimizing our historical engineering data by restructuring, validating, and managing the information, ensuring high levels of accuracy and integrity. Working closely with our engineering team, you will help identify inconsistencies, rectify errors, and contribute to the overall enhancement of our data quality.

Key Responsibilities:

  • Re-structure and process historical engineering data: Transform the data to align with our current structure and process raw data from various sources, maintaining consistency and accuracy across the dataset.
  • Validate and manage engineering data quality: Conduct quality control checks, pinpoint inaccuracies or inconsistencies, and collaborate with the engineering team to resolve any issues.
  • Data analysis and visualization: Examine processed engineering data to uncover trends, patterns, and insights. Develop clear and compelling visualizations to communicate findings to relevant stakeholders.
  • Documentation and version control: Keep thorough documentation of engineering data processing steps, validation procedures, and any identified issues or improvements. Ensure proper version control for all engineering data.
  • Collaborate with the engineering team: Work in close coordination with engineers, data scientists, analysts, and other team members to ensure the seamless alignment of engineering data management efforts.
  • Contribute to data improvement initiatives: Detect areas for improvement and propose recommendations to elevate engineering data quality and processing efficiency.

Qualifications:

  • Currently pursuing a Bachelor’s or Master’s degree in Engineering, Data Science, or a related field.
  • Possess strong analytical and problem-solving skills, with a keen eye for detail.
  • Proficient in programming languages such as Python or R, and experienced with data processing libraries (e.g., Pandas, NumPy, or similar).
  • Familiar with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Knowledge of database systems (e.g., SQL, NoSQL) and engineering data management principles is a plus.
  • User-focused and pragmatic in approach.
  • Exceptionally motivated, eager to learn, and able to thrive in a team environment.
  • Highly focused, and capable of operating efficiently with minimal supervision.

Application Process:

To apply, please submit your resume, cover letter, and any relevant work samples or portfolio pieces. In your cover letter, describe your interest in data analysis, as well as any previous experience with data processing and validation.

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