Senior Mechanical Engineer for AI Hardware Research

SaidGig

New York (NY)

Remote

USD 99.000 - 165.000

Teilzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

SaidGig is seeking a seasoned mechanical engineer for a remote, hourly role focused on evaluating and improving how complex hardware and AI research problems are approached. You will apply practical hands-on experience with production hardware to assess designs, analyses, testing workflows, and failure modes.

Responsibilities include reviewing designs, simulations, test methods, and troubleshooting approaches; evaluating trade-offs in structures, thermal, dynamics, and manufacturability; and

Qualifikationen

  • 5+ years of professional mechanical engineering experience with hands-on hardware work.
  • Responsible engineer for physical hardware lifecycle ownership.
  • Deep expertise in structural or thermal or dynamics and controls areas.
  • Proficient in CAD/CAE, FEA/CFD, and testing instrumentation.
  • Experience in aerospace, defense, automotive, electronics, robotics domains.

Aufgaben

  • Apply hands-on mechanical engineering expertise to complex hardware work.
  • Review designs, analyses, simulations, test methods, and troubleshooting.
  • Evaluate trade-offs in structures, thermal, dynamics, and manufacturability.
  • Assess practicality and outcomes of solutions to real-world problems.
  • Identify assumptions, boundary conditions, design gaps, and risks.
  • Develop engineering problems, reference solutions, and evaluation criteria.
  • Use design, simulation, prototyping, hardware integration, and testing.
  • Provide clear, technically grounded feedback based on principles.

Kenntnisse

Hands-on mechanical engineering
Hardware development experience
Clear communication of technicalDec
Failure-mode analysis
Root-cause analysis

Tools

CAD/CAE tools
FEA
CFD
Dynamics simulation
Data acquisition

Jobbeschreibung

SaidGig is seeking a seasoned mechanical engineer for a remote, hourly role focused on evaluating and improving how complex hardware and AI research problems are approached. You will apply practical hands-on experience with production hardware to assess designs, analyses, testing workflows, and failure modes.

Responsibilities include reviewing designs, simulations, test methods, and troubleshooting approaches; evaluating trade-offs in structures, thermal, dynamics, and manufacturability; and

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