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Lead Manufacturing Engineer, Mesh Optical; Starmind

Job in Bastrop, Bastrop County, Texas, 78602, USA
Listing for: SpaceX
Full Time position
Listed on 2026-11-01
Job specializations:
  • Manufacturing / Production
    Manufacturing Engineer, Lean Manufacturing / Six Sigma, Quality Engineering
  • Engineering
    Manufacturing Engineer, Lean Manufacturing / Six Sigma, Quality Engineering
Job Description & How to Apply Below
Position: Lead Manufacturing Engineer, Mesh Optical (Starmind)
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

LEAD MANUFACTURING ENGINEER, MESH OPTICAL (STARMIND)  As the Lead Manufacturing Engineer of optical transceiver production at SpaceX, you will own manufacturing engineering strategy and production execution across the factory: scaling lines, deploying new automated production cells, driving yield and throughput, and building the team to sustain it. You will own the relationship between our process and production teams. You will provide input into the design and development of new and existing hardware and take a lead role in manufacturing on our current and next generation Starlink products and AI compute.

RESPONSIBILITIES:
Own manufacturing engineering strategy and production execution across the factory, including line scaling, capacity planning, and production readiness for new products

Design and scale automated production cells for precision electro-mechanical and optical assemblies, integrating robotics, alignment systems, inspection, and test automation

Own product-to-manufacturing handoff in partnership with mechanical, process, and optical engineering teams, driving design-for-manufacturability and design-for-assembly feedback into product development

Define and evolve production workflows, material flow, line layout, and inventory and traceability systems to support increasing volume and product complexity

Lead hardware-side MES integration and factory data system development, ensuring production data supports real-time decision-making, traceability, and continuous improvement

Own factory performance metrics—yield, scrap, throughput, uptime, cycle time, and reliability—and drive systematic improvement against targets

Build, lead, and develop the manufacturing engineering organization, including production engineering and production leadership roles, scaling the team in step with factory growth

Partner with supply chain and procurement to qualify incoming materials and components and ensure supplier quality supports production yield targets

Establish and maintain manufacturing process documentation, control plans, and qualification procedures

BASIC QUALIFICATIONS:

Bachelor’s degree in an engineering discipline5+ years of experience working with automated integration lines, high volume electronics manufacturing or similar1+ years of experience leading a team of engineers, either as a project leader or as a leader in professional environment with direct reports

PREFERRED QUALIFICATIONS:

Experience with micron-scale assembly, optical alignment, or die/chip-level packaging processes

Experience hiring, mentoring, and organizational development of engineering team Experience implementing or evolving MES and production data systems

Strong analytical and problem-solving skills with a data-driven approach to factory performance

Demonstrated ownership of yield and ramp performance in complex hardware manufacturing environments

Proven experience scaling automated production lines beyond pilot and NPI into sustained high-volume manufacturing

Background in semiconductor, photonic, advanced packaging, or precision electro-optical manufacturing

Experience scaling manufacturing operations in high-growth hardware companies, including standing up new lines or new factories

Experience with factory automation architectures, including integration of robotic handling, machine vision, and in-line metrology

Familiarity with statistical process control, process capability analysis, and reliability qualification methodologies

Experience…
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