- Pittsburg, CA
- Mountain View
- Date Posted
- Jun. 1, 2021
- Software Engineering
At Aurora, we’re on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. It all starts with the Aurora Driver, a platform created from industry-leading hardware and software and designed to adapt across a variety of vehicle types and industries.
We’re led by what Bloomberg has called a “rock star cast” of self-driving luminaries and we’ve forged strategic partnerships with leading transportation companies—including ride-hailing network Uber, truck-manufacturers PACCAR and Volvo Trucks, and the world’s largest automaker Toyota—setting us up to deliver the Aurora Driver in both trucks and passenger vehicles. We are funded by Amazon, Uber, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock, and Index Ventures.
Aurora is in the best position to lead the self-driving space with a team of unparalleled depth and expertise, the technology to deliver, and the partnerships to build a transformative business for the long-term.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for a Technical Program Manager to partner deeply with Perception leads and engineers to gather requirements and develop roadmaps for domains such as: onboard perception system performance; offline training, evaluation, debugging tooling; new sensor specifications and integration.
In this role, you will
- Collaborate closely with other autonomy software and hardware teams, policy leads, operations, and triage specialists on technical matters to ensure the Perception team’s work is aligning to broader organizational development.
- Assess requirements for software systems, facilitate selection of the best options, and coordinate the team to successfully evolve tools and operational processes to achieve them.
- Track progress, resolve dependencies, evaluate risks and communicate status to upper management and project stakeholders, and engage and energize the project teams to achieve aggressive goals.
- Manage complex projects at a large scale, spanning many functional teams and cross-functional initiatives. Instill an efficient project management mindset and workflow across the team, and function as a go-to resource for project management mentorship
- Remove obstacles to drive momentum and progress, identify gaps in communication or schedule, manage issue escalations and provide support to teams balancing competing priorities, and drive results proactively.
- Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities and push the team to be effective.
- Minimum of 5 years experience as a Technical Program Manager, Product Manager, Engineering Manager, or Engineer in an autonomous systems, robotics, or software development environment.
- Bachelor’s degree in Engineering, Computer Science, Math, Information Systems or a related area, or the equivalent in experience with evidence of exceptional ability preferred.
- A strong familiarity with robotics or computer vision systems and their architecture.
- Direct, measurable impact through the design, development and launch of groundbreaking products or delivery of significant and novel technology programs.
- Solid technical aptitude and an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.
- Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.
Working at Aurora
At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we win together—all without any jerks.
We have offices in Pittsburgh, Mountain View, San Francisco, Bozeman, Dallas and Seattle. We also offer a competitive benefits package that supports the whole you, including:
- Competitive salary, bonus and RSU package
- Premium choices for Medical, vision, and dental
- 401k benefits
- Life and disability benefits
- 18 weeks paid leave for new parents and caregivers
- Flexible vacation and company paid holidays
- Fertility benefits through Carrot
- Working from home support
- Professional growth and mentorship opportunities through the Aurora Academy
- Wellness Platforms (Spring Health, Headspace, Aaptiv, Quit Genius)
We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit.
Individuals seeking employment at Aurora are considered without regards to race, color, religion, national origin, age, sex, gender identity, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, military service, or physical or mental disability. You are being given the opportunity to voluntarily provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. Your responses, or your choice not to respond, will not be associated with your specific application, nor will they be used in the selection process or in making any hiring decision.
Founded in 2017, Aurora was started by industry luminaries, and now we’re a team with a multitude of perspectives and experiences. 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 Model X and Autopilot programs. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. Regarded as the most experienced leadership team in the industry, these three bring decades of expertise, passion and focus to realizing our mission.