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Aurora

Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.

Tech Lead Manager, Mechanical LiDAR
Palo Alto, CA, US
Job Description / Skills Required

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, including three of the world’s leaders of self-driving technology, 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.

We’re looking for people who are as excited as we are to solve these complex problems and make this tremendous impact on our future, and who want to be surrounded by great people while we do it. We are searching for Mechanical Engineers. He/She will work closely with a multidisciplinary team spanning both hardware and software to define, design, test, and integrate self-driving vehicle systems.

Responsibilities

  • Work closely with autonomy software teams to define and translate sensor, planning, and control requirements into hardware specifications
  • Design, assemble, test, and integrate beautiful, robust sensors, computers, and their accompanying power, heating, cooling and cleaning solutions
  • Design for prototype and mass-production including machined, injection-molded, formed, die-casted, and extruded parts
  • Perform design analysis including stress, strain, thermal, modal, and tolerance
  • Create 2-D drawings and documentation with GD&T and SPC fundamentals
  • Work with hardware platform partners to optimize Aurora design for high-volume production and reliability 

Essential

  • BS or MS in mechanical engineering. Preference is given to those who have broad experience spanning several disciplines in the robotics domain
  • Applicants with a MS degree should have 2+ years of total professional experience with direct contribution to successful and relevant products
  • Applicants with a BS degree should have 3+ years of total professional experience with direct contribution to successful and relevant products
  • Proficient in CAD design - Catia V6 and Solidworks preferred, not required

Desirable

  • Hobbyists with significant DIY experience and a demonstrated record of executing solid design into great product
  • Knowledge of rapid prototyping, design-for-manufacture, design-for-test, and design-of-experiments
  • A-class part design experience ideally in partnership with automotive design teams
  • Experience with or applied knowledge of motor vehicle systems and bus architectures
  • Thermal management design sense with applied product experience 
  • Electro-mechanical experience with control drawings for PCBAs, connector selection, harness specification, and shielding requirements
  • Understanding of automotive requirements and qualification processes
  • Strong presentation and communication skills for driving critical design decisions

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 some of Silicon Valley’s best venture capital firms, including Greylock and Index Ventures.