Software Engineer - Mapping and Localization
Mountain View, California, United States
About Applied
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 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 mapping and localization for autonomous vehicles or mobile robots. Your contributions will focus on building a mapping and localization system for an off-road vehicle for autonomous and advanced driver-assistance use cases. You will also help our simulation and tooling team to build out key capabilities for experts who develop and deploy mapping and localization systems.
In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will be a key contributor for a new business that builds on and informs 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!
We are hiring for all levels.
At Applied, you will:
- Design and implement a top-notch mapping and localization system capable of running on a variety of off-road vehicles, providing lifelong mapping and localization in dynamic environments
- Design and implement foundations and cutting-edge tools for users to lean heavily on mapping and localization data, for drivers inside the vehicle and for operators managing fleets and operations
- Build backend infrastructure for storing and processing many forms of map data
- Apply automated techniques to generate maps from raw data, improving our internal tools for viewing and editing maps
- Scale our systems to support mapping the world by developing robust localization algorithms that use inertial sensors, magnetometers, GNSS, differential antennas, real-time kinematic, and other various localization sensors and solutions
We're looking for someone who has:
- Passion for building a best-in-class mapping and localization system that is absolutely reliable for highly dynamic operations in demanding real-world environments
- MSc in mapping, localization, or closely related field
- 3+ yrs of experience building software components or (sub) systems that address real-world mapping and localization challenges
- Hands-on experience with more than one domain relevant software framework or tools, such as middlewares, benchmarking suites, data sets and related pipelines, or algorithmic libraries
- Deep understanding of the core localization concepts, world representations and transforms, the intersection of mapping of localization, and error analysis and characterization
- Knowledge about how to analyze and compare the performance of various hardware solutions for localization
- C++ and/or Python programming expertise
Nice to have:
- PhD in mapping, localization, or closely related field
- Deep hands-on expertise in relevant algorithms or methods, such as SLAM, probabilistic filtering, non-linear optimization, computational geometry, numerical analysis, or distributed systems
- Experience with large-scale data processing using frameworks
- Deep understanding of sensors used for localization, state of the art industry solutions, and common approaches for production systems
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.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans
or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
