Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.
Bringing self-driving vehicles to our roads is the most transformative opportunity of our generation. Aurora is taking a fresh start with the development of self-driving technology, combining excellence in AI, rigorous engineering, and a team with decades of experience building robots that work.
Led by a team of seasoned experts, our mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. We are designing the software and hardware to power the transportation of our future that will make our roads safer, give more people access to mobility, and reduce congestion and pollution in cities - improving the quality of life for all. The challenge in what we are endeavoring to achieve is transcendent; we are developing perhaps the world's most complex computing system and asking it to perform the task of transporting and keeping safe our most precious asset: human life.
If you’re passionate about helping solve one of the most ambitious robotics projects (ever!), we encourage you to join our team for an internship. Our philosophy is to have the students embedded with day-to-day engineers to help solve relevant challenges and make a direct impact on the product we’re building. There is nothing like “getting your hands dirty” and learning from the best.
We are looking for passionate, self-motivated students with experience in Mechanical/Electrical designs, combined with knowledge of physics of failure under mechanical/environmental stresses. This position will be with the Thermal-Mechanical Analysis team, focussing on lab-experiment design, instrumentation, controls and data analysis.
- Enrolled in a Bachelors, Masters or PhD program in Mechanical, Aerospace, Chemical Engineering or equivalent engineering field.
- Demonstrable mastery in fundamentals of heat transfer physics, fluid dynamics, mechanical engineering and hardware controls.
- Sound knowledge of electro-mechanical fundamentals such as the ability to read schematics.
- Real world lab experience using python (or similar) for data collection, analysis, and model verification.
- Physics-based understanding of environmental ruggedization.
- Passion for solving challenging, impactful problems.
- Prior experience with the design, install and execution of lab experiments, involving thermal and fluids measurements helping to shape product roadmaps.
- Experience defining test conditions, sample numbers, test durations, pass-fail criteria, setup controls, and data acquisition.
- 1D and 3D thermal and fluids simulation experience (i.e. CFD, reduced order modeling)
- Working knowledge of test equipment including environmental chambers, DAQs (data acquisition systems), instruments to measure pressure, temperature and power.
- Knowledge of basic lab and diagnostic tools such as programmable power supplies, scopes, multimeters.
- Familiarity with control theory and process control.
- Develop and implement test methodology for verifying hardware product operation for complex autonomy systems.
- Install, maintain & operate thermal experiment hardware: DAQ, thermocouples, flow sensors, power monitoring and similar.
- Work directly with Aurora’s design engineering team to create validation test plans, procedures, and reports.
- Work with mechanical designers for rapid prototyping of fixtures & components.
- Deploy scripts to automate test operation and analyze data.
- Provide recommendations to Aurora engineers based on data gathered, that informs on the design of high performing and reliable products.
Working at Aurora
Our work has real purpose. Delivering self-driving will improve lives around the world, expanding access to transportation, revitalizing cities, giving people more time back every day.
We’re one team. We’re inspired by the challenge of what we’re solving and the impact our work will have on society. Our camaraderie is built on respect for our work and the fundamental belief our success will be a result of working together.
The Founding Team
Aurora has assembled the most experienced leadership team in the space. Chris Urmson helped lead Carnegie Mellon’s efforts in Darpa’s Grand Challenges, then was a founding member of Google’s self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla’s Autopilot system. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. At Aurora, these three continue to bring experts from all areas of the industry to the team. We are funded by Amazon, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock and Index Ventures.
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