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TITLE

 

Autonomous Aerial Systems Lead Engineer

COMPANY

 

Uber

LOCATION

 

San Francisco, CA, US

Description

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About the Role

This role will focus on Uber Elevate's initiative to fast forward to ridesharing in the sky, i.e. Urban Air Mobility (UAM).

What You’ll Do

  • Develop and execute an Elevate autonomy strategy, including assessment of possible levels of standardization across partners and recommending a baseline approach. Construct vehicle and airspace interface documents while working across Elevate Vehicle, Airspace, and Operations teams. Provide the technical expertise to assist the Policy team to execute a collaborative approach towards building consensus across the autonomy evolution through engagement with regulators and  in industry organizations. Understand and define common sensor/suite requirements across suppliers and manufacturers to ensure all vehicle partners can successfully adopt standards and participate on the Elevate network.
  • Analyze, design, and assess various eVTOL stability and control requirements across the entirety of the flight envelope, looking at a variety of control allocation schemes and their tradeoffs.  These analyses will be used to further understanding in flight control requirements from hover through transition to cruise. The results will help decide between various design objectives and establish feasibility for novel eVTOL technologies. Assess the effects of these vehicle technologies on the autonomy roadmap under development.
  • Feedback stability and control understandings into Uber Elevate’s Vehicle Design, Analysis, and Optimization Framework. Link and automate stability and control tools when possible to enable rapid trade studies using streamlined interfaces across disciplines (Aerodynamics, Energetics, Aeroacoustics, Motors, Mass Properties, etc.). These tools should consider both stable and unstable aircraft.
  • Explore feasibility of a wide variety of concepts to make sure that Uber is mitigating risk by having a competitive understanding of different concept approaches to establish fit or threat to the Elevate network. These concepts include may non-traditional tilting mechanisms used for transition, statically unstable aircraft in pitch, and under-constrained control allocation problems; a candidate should have the ability to assess these aspects of eVTOL from a variety of fidelity levels.
  • Identify and prioritize key aircraft stability and control metrics, and work with the rest of the conceptual design team to ensure these metrics are accurately represented in the vehicle model and in published studies (times to double, bandwidth requirements, control allocations, and drivetrain sizing). Assist the vehicle team to establish criteria such as wind threshold requirements to understand operational limitations.
  • Interface across airspace, operations, policy/standards, and safety leads as well as ecosystem component supplier (comms, fly-by-wire, avionics, etc) to ensure autonomy and stability & control criteria are considered, met, and integrated across our OEM vehicle and Elevate partners’

 

What You’ll Need

  • Significant Knowledge of Aircraft Autonomy
    • Experience in aircraft autonomy, and the component technologies to achieve integrated system capabilities.
    • The candidate should understand how autonomy requirements and interface standards can be developed, and turned into operational systems.
    • Understanding of evolutionary approaches towards advancing from current piloted aircraft into increasingly autonomous capabilities.
    • Prior effort working across diverse perspectives relating to autonomy, with an understanding of how to work towards consensus opinions that can turn into accepted approaches and standards.
    • Knowledge of airspace and operational considerations relating to autonomy, as well as aircraft software certification so as to achieve the most cost effective approaches towards implementing autonomy.
    • Safety implications relating to the adoption of autonomy, and how safety drives many of the critical design decisions in an autonomous system.
  • Significant Knowledge of Aircraft Stability and Control
    • In order to effectively develop requirements and perform competitive analysis, the candidate must have experience performing stability and control analysis for both stable and unstable aircraft
    • The candidate should have significant experience performing stability and control assessments on VTOL aircraft, with an understanding of required margins for CG variation, winds, and dynamic maneuvers.
    • The candidate should have experience with optimizing control allocations on under-constrained systems, and be able to provide pros/cons on different approaches.
    • Preference given to those with experience with transitioning vehicles.
    • Preference given to those with ability to execute reduced-ordered aerodynamic software such as CHARM, CAMRAD II, or RCAS.
    • Programming and automation experience in Matlab or Python, or similar.

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