Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you’ll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting-edge technology while working with major players across the industry and the globe.
Applied Intuition provides software solutions to safely develop, test, and deploy autonomous vehicles at scale. The company’s suite of simulation, validation, and drive log management software enables development teams to create thousands of scenarios in minutes, run simulations at scale, and verify and validate algorithms for production deployment. Headquartered in Silicon Valley with offices in Los Angeles, Detroit, Washington, D.C., Munich, Stockholm, Seoul, and Tokyo, Applied consists of software, robotics, and automotive experts with experiences from top global companies. Leading autonomy programs and 17 of the top 20 global OEMs use Applied’s solutions to bring autonomy to market faster.
About the role
We are looking for a software engineer with expertise in AV mapping creation and management. Your contributions will focus on building out key capabilities of our core AV map development products. You will also drive the design and development of these products that empower mapping teams at leading AV companies to build and scale MD and HD maps for the safe deployment of their vehicles.
In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you!
At Applied, you will:
Design and build infrastructure and tools to provide the best map creation and management tools for customer teams tackling the issue of creating maps at scale (think continent-scale maps!)
Help ensure that the maps that go on tomorrow’s autonomous vehicles are fresh and error-free
Work closely with in-house and customer engineers to help deploy best practices for AV map creation and management
We’re looking for someone who has:
A passion for turning their mapping domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
2+ years of experience building or managing MD or HD map data that has been used for autonomous vehicles
Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
Nice to have:
MSc or PhD in computer science, robotics, mathematics, or another mapping related field
Experience building and shipping high quality software
Familiarity with geospatial and visualization libraries, such as GEOS, Shapely, and three.js
The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company’s premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.
Hiring InsightsJob activityPosted 30+ days ago