Saltar al contenido principal
Uber

Indícanos tu ubicación

Ingresa el nombre de la ciudad más cercana para ayudarnos a mostrar la información correcta de tu área

Self-Driving Vehicle Test Engineer

Systems Engineering & Testing, Engineering en Pittsburgh, PA

About Uber

 

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

 

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

 

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

About the Role

 

As an Self Driving Vehicle Test Engineer, you will support functional testing for hardware and software related to mapping, safety, and autonomous vehicle operation. Test Engineers work closely with Development Engineers, Technicians and specialists. to facilitate test planning, execution, and reporting.

What You’ll Do
  • Design, develop, and implement safe and effective test plans and procedures for complex hardware and software systems 
  • Perform root cause analysis of issues seen during testing
  • Work closely with software engineers, product, operations, and management to develop testing requirements and verify successful test execution
  • Gather, analyze, and communicate testing results to stakeholders
  • Define and implement test process improvements

What You’ll Need

 
  • BS in Engineering or a related discipline, or related job experience
  • Prior experience developing or testing complex hardware or software systems (3+ years preferred)
  • Skills in isolating, documenting, and tracking issues systematically
  • Proficient and professional communication skills 
  • Proven self-starter with the ability to work autonomously in a fast-paced environment

 

Bonus Points if

 

  • Strong technical background in Linux OS architecture, C programming, and Python scripting or equivalent
  • Experience using software packages (Python, MATLAB, etc.) for data analysis
  • Knowledgeable in modern automotive electronics and diagnostic procedures
  • Experience working in robotics or with autonomous systems
  • Strong understanding of software and code repositories

 

About the Team

 

At the Advanced Technologies Group (ATG), we are building technologies that will transform the way the world moves. Our teams in Pittsburgh, San Francisco, and Toronto are dedicated to mapping, software and hardware development, vehicle safety, and operations for self-driving technology. Our teams are passionate about developing a self-driving system that will one day move people and things around more safely, efficiently, and cost effectively.

 

At Uber, we believe technology has the power to make transportation more efficient, accessible, and safer than ever before. Self-driving technology has the potential to make these benefits an everyday reality for our customers, but it’s not going to happen overnight. Building best-in-class self-driving technology will take time, and safety is our priority every step of the way. Operating inclusively and transparently, while displaying responsible behavior in a structured development are critical to safety. We at ATG seek candidates who will role model these values.


Conoce nuestra Declaración de privacidad para candidatos

En Uber no solo aceptamos la diferencia; la celebramos, la apoyamos y la valoramos para beneficio de nuestros empleados, de nuestros productos y de nuestra comunidad. Uber se enorgullece de ser un lugar de trabajo con igualdad de oportunidades y es un empleador de acción afirmativa. También estamos comprometidos con el empleo en igualdad de oportunidades sin considerar raza, color, origen familiar, religión, sexo, origen nacional, orientación sexual, edad, ciudadanía, estado civil, condición de discapacidad, identidad de género o estado de Veterano.