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Electrical Engineering

Turing · Remote

Pay
See listing
Where
Worldwide
Degree
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Posted
26d ago
Checked
today

An older role: first posted 26d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

Before you applyHow to pass the Turing assessment and interviewsMost people who don't get in fail the screening, not the CV. Five minutes here first.

What the work is

Role Overview

We are seeking experienced Aerospace / Flight-Dynamics Engineer to author aero/flight tasks in OpenVSP, XFLR5, FlightGear+JSBSim, OpenRocket and QGroundControl; build golden geometries/mission plans and score geometry/route/airframe files.

Key Responsibilities

  • Author aero/flight tasks and validate designs using industry-standard tools (OpenVSP, XFLR5, FlightGear+JSBSim, OpenRocket and QGroundControl)
  • Develop realistic engineering problem statements, simulation models, calculations, schematics, and supporting technical assets.
  • Build golden geometries/mission plans and score geometry/route/airframe files.
  • 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

  • Candidates must have a minimum of 5+ years of experience working in Aerospace / Flight-Dynamics
  • Hands-on experience with scripting
  • Proficient in 2+ of the listed tools: OpenVSP, XFLR5, FlightGear+JSBSim, OpenRocket, QGroundControl
  • Analytical mindset with strong problem-solving skills
  • Ability to work independently in a fast-paced environment
  • Robust engineering problem definition
  • Analytical validation and sanity checking
  • Technical documentation
  • Peer review and quality assessment
  • Clear communication of assumptions and engineering decisions

Preferred Qualifications

  • MSc in Aerospace Engineering
  • Prior experience working as Product Owner

Benefits

  • Opportunity to work on cutting-edge AI projects.
  • Competitive compensation.
  • Flexible working hours and remote work environment.

Offer Details

  • Commitments Required: 40 hours per week with at least 4 hours PST overlap
  • Employment type: Contractor assignment (no medical/paid leave)
  • Duration of contract: 5 weeks; imediate onboarding

Pay

See listing, fully remote. How payouts and tax work.

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