Aerospace / Flight-Dynamics Engineer at Turing

Aerospace / Flight-Dynamics Engineer | Contractor | 40 hrs/week | Worldwide Remote

Turing is seeking an experienced Aerospace / Flight-Dynamics Engineer to support AI research acceleration by authoring high-quality aero and flight simulation tasks. You'll build golden geometries, mission plans, and scored airframe files using industry-standard tools — contributing directly to cutting-edge AI training pipelines.

About Turing:

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps accelerate frontier research with high-quality data, advanced training pipelines, and top-tier STEM specialists.

Key Responsibilities:

• Author and validate aero/flight tasks using tools such as OpenVSP, XFLR5, FlightGear+JSBSim, OpenRocket, and QGroundControl.
• Develop realistic engineering problem statements, simulation models, calculations, schematics, and supporting technical assets.
• Build golden geometries and mission plans; score geometry, route, and airframe files.
• Define inputs, assumptions, constraints, operating conditions, output metrics, and acceptance criteria.
• Validate results through analytical checks and peer-review other engineers' submissions for technical accuracy.
• Translate technical requirements into simulation models and workflows.
• Optimize designs based on simulation outcomes and document methodologies and results.
• Collaborate effectively with cross-functional engineering teams.

Requirements:

• Minimum 5+ years of hands-on experience in Aerospace or Flight-Dynamics engineering.
• Proficiency in at least 2 of the following tools: OpenVSP, XFLR5, FlightGear+JSBSim, OpenRocket, QGroundControl.
• Experience with scripting for simulation or automation tasks.
• Strong analytical and problem-solving mindset with attention to detail.
• Ability to work independently in a fast-paced, remote environment.
• Skilled in technical documentation, peer review, and clear communication of engineering decisions.

Preferred Qualifications:

• MSc in Aerospace Engineering.
• Prior experience in a Product Owner or technical lead role.

Contract Details:

• Commitment: 40 hours per week with at least 4 hours PST overlap required.
• Employment Type: Contractor assignment (no medical or paid leave benefits).
• Duration: 5-week contract with immediate onboarding.

Benefits:

• Work on cutting-edge AI research projects at the frontier of the industry.
• Competitive compensation for qualified candidates.
• Fully remote with flexible working hours.