Sr Manufacturing Engineering Consultant at Foundation EGI

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Manufacturing Engineering, Industrial Engineering, Automotive Experience, Assembly Sequence Planning, Tooling Planning, Torque Specification, Ergonomic Risk Assessment, MTM, Time Studies, Python Programming, Data Pipeline Development, Geometric Processing, Simulation, Optimization, Machine Learning, Domain-Specific Languages

Industry

technology;Information and Internet

Description

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. Overview Foundation EGI is looking for an experienced Manufacturing or Industrial Engineering Consultant with deep automotive experience in planning and documenting new production lines, especially final assembly operations.This person will serve as a domain expert for a new software product focused on assembly sequence and tooling planning, bringing real-world shop floor experience into the product design, requirements, and documentation.You should be an industry veteran who has led or supported the planning of new or modified production lines at OEMs or Tier 1 suppliers, including:Assembly sequence planningSelection and specification of assembly tools and equipmentTorque specification and tightening strategiesErgonomic risk assessmentMTM and time studiesProduction documentation and launch readiness \n Responsibilities Serve as the primary subject-matter expert on automotive assembly sequence planning, tooling, and production line setup. Define and review product workflows and requirements for sequence planning, torque specs, tooling selection, ergonomic risks, and MTM or time study use. Provide practical guidance on new or modified production lines, including station layout, work content, standardized work, and work instructions. Define and review how assembly tools, fixtures, ergonomic aids, and error-proofing devices are represented and used in the software. Write clear product specifications and user-facing documentation such as workflows, examples, and best-practice guides. Validate that the product behavior and algorithms match real plant workflows and provide feedback from pilot use and customer discussions. What we are looking for Must Have ten or more years of recent experience in manufacturing or industrial engineering roles within automotive OEM or Tier 1 suppliers. 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages. BSc or MSc in Computer Science, Engineering, or a related field. Proficient in writing clean, modular, and maintainable Python code. Experience with dataset creation and data pipeline development. You'll Thrive with Proven experience planning and launching new or significantly modified production lines, especially final assembly. Hands-on experience with: Assembly sequence planning and operation breakdown. Tool and equipment selection for assembly operations, including torque tools, fixtures, and ergonomic assists Torque specifications and fastening process design, including DC tools, tightening strategies, and traceability Ergonomic risk assessment using methods such as REBA, RULA, or NIOSHMTM, MOST, or equivalent time study methods Strong written and verbal communication skills and the ability to clearly explain complex manufacturing and tooling concepts to non-experts such as software engineers. \n

Responsibilities

Serve as the primary subject-matter expert on automotive assembly sequence planning and tooling. Define product workflows and provide practical guidance on production line setup and documentation.