Electrical Engineering

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 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