Engineering – Aerospace / Mechanical / Electrical Engineering

HumanitApp

United States

Remote

USD 83,000 - 165,000

Part time

32 hours ago
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Job summary

Turing, based in San Francisco, seeks experienced Electrical Engineers to design and verify simulation-led tasks used to train and evaluate advanced AI models. The role requires strong fundamentals, practical simulation experience, and the ability to produce clear, reproducible engineering solutions.

This contractor assignment emphasizes CAD modeling and simulation with tools like CATIA, SolidWorks, ANSYS, MATLAB, and Python.

Qualifications

  • Minimum 10+ years in CAD engineering and simulation environments.
  • Experience in aerospace/mechanical/electrical engineering fundamentals.
  • Hands-on modeling, simulation, or design project work.

Responsibilities

  • Develop CAD models and perform simulation/analysis for aero, mech and elec components
  • Validate designs using industry-standard tools (e.g., CATIA, SolidWorks, ANSYS, MATLAB)
  • Develop realistic electrical engineering problem statements, simulation models, schematics, and technical assets.
  • Define inputs, assumptions, constraints, operating conditions, output metrics, and acceptance criteria.
  • Validate results through analytical checks and peer reviews for technical correctness.
  • Translate requirements into simulation models and workflows.
  • Optimize designs based on simulation results.
  • Collaborate with cross-functional engineering teams.
  • Document methodologies, processes, and outcomes.

Skills

CAD engineering
Simulation tools
Analytical mindset
Independent work
Design trade-off analysis
Technical documentation
Peer review
Communication

Tools

MATLAB/Simulink
ANSYS Maxwell
OpenFOAM
COMSOL
Python scripting
OpenDSS
KiCad
AutoCAD Electrical

Job description

Future projects, not immediate vacancies. Check each network's country and experience requirements.

Official job description checked 2026-10-24:

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are seeking experienced Electrical Engineers to design, solve, and review simulation-led engineering tasks used to train and evaluate advanced AI models. The role requires strong technical fundamentals, practical simulation expertise, and the ability to produce clear, reproducible engineering solutions.

Project Details

We are hiring for a PAA-based project, seeking candidates with strong hands‑on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.

Key Responsibilities
  • Develop CAD models and perform simulation/analysis for aero, mech and elec components
  • Validate designs using industry‑standard tools (e.g., CATIA, SolidWorks, ANSYS, MATLAB)
  • Develop realistic electrical engineering problem statements, simulation models, calculations, schematics, and supporting technical assets.
  • Define inputs, assumptions, constraints, operating conditions, output metrics, and objective acceptance criteria.
  • Validate results through analytical checks and review other engineers’ submissions for technical correctness and completeness.
  • Translate technical requirements into simulation models and workflows
  • Optimize designs based on simulation results
  • Collaborate with cross‑functional engineering teams
  • Document methodologies, processes, and outcomes
Key Requirements
  • Strong proficiency in CAD engineering and simulation tools
  • Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations
  • Strong aerospace/mechanical/electrical engineering fundamentals
  • Hands‑on experience with modeling, simulation, or design projects
  • Analytical mindset with strong problem‑solving skills
  • Ability to work independently in a fast‑paced environment
  • Robust engineering problem definition
  • Modelling and simulation
  • Analytical validation and sanity checking
  • Design trade‑off analysis
  • Technical documentation
  • Peer review and quality assessment
  • Clear communication of assumptions and engineering decisions
Tools / Proficiency
  • Mechanical: FreeCAD, CalculiX, Gmsh, ParaView, Python, Cura/PrusaSlicer
  • Aerospace: OpenRocket, OpenVSP, XFoil, AVL, OpenFOAM/SU2, FreeCAD, Python
  • Professional proficiency in one or more relevant tools is required, including: MATLAB/Simulink, Simscape Electrical, LTspice, PSpice, ETAP, DIgSILENT PowerFactory, PSCAD, OpenDSS, Ansys Maxwell, COMSOL, Altium Designer, KiCad, AutoCAD Electrical, or EPLAN. Python or MATLAB scripting experience for automation, analysis, and result processing is preferred.
  • For Electrical Engineering talents: Strong fundamentals in circuit analysis, power systems, electrical machines, power electronics, control systems, protection, grounding, instrumentation, or electronics design. Deep practical expertise in at least one electrical engineering specialisation is required.
Preferred Qualifications
  • Prior experience working with leading aerospace or engineering companies is highly preferred
Commitments Required

Minimum 20hrs/week (Upto 40 hours per week)with at least 4 hours PST overlap

Employment Type

Contractor assignment (no medical/paid leave)

Duration of Contract

8 weeks; [expected start date is next week]

Eligibility Confirmation

Confirm current eligibility, workload and final terms with Turing. Referral rewards are separate from applicant compensation.

Compensation Context

Compensation is not stated in the current feed. Confirm the rate and workload before accepting an assessment or project.

Location
  • Remote · Country eligibility: check the official listing · Work type not specified
  • Remote · Country eligibility: check the official listing · Work type not specified
  • Remote · Country eligibility: check the official listing · Work type not specified
  • Global, fully remote · Work type not specified
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