Software Engineer - Mapping and Localization
As a Software Engineer specializing in Mapping and Localization, you will design and implement state-of-the-art systems for autonomous vehicles and mobile robots. This role involves building scalable solutions, fusing live data with maps, and continuously improving system performance using data-driven methods.
About the job
About the role
We are looking for a software engineer with passion and expertise in mapping and localization for autonomous vehicles or mobile robots. Your contributions will build a system that is best-in-class, highly reliable for autonomous and advanced driver-assistance use cases.
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 Intuition, you will:
- Design and implement a state of the art mapping and localization system capable of running on a variety of vehicles platforms, providing lifelong mapping and localization in dynamic environments
- Build a scalable system that can build local or global map, fuse live data with map
- Build real time onboard localization with high integrity as well as offboard localization methods
- Make best use of available resources and sensors including Inertial sensors, vehicle signals, GNSS, cameras, lidars, radars etc for mapping and localization
- Continuously and relentlessly improve the system performance using large-scale data driven methods rooted in first principles
We're looking for someone who has:
- BS in in Computer Science, Robotics, Applied Mathematics, or related engineering field
- 3+ yrs of experience building software components or (sub) systems that address real-world mapping and localization challenges
- 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++ programming expertise
Nice to have:
- MS / PhD with focus on localization, mapping closely related field
- Deep hands-on expertise in relevant algorithms or methods, such as SLAM, state estimation, non-linear optimization, Computer Vision, 3D geometry, numerical analysis, or distributed systems
- Deep understanding of sensors used for localization, state of the art industry solutions, and common approaches for production systems
- Experience with large-scale data processing using frameworks
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.
Skills
C++, Slam, State Estimation, Non-Linear Optimization, Computer Vision, 3D Geometry, Numerical Analysis, Distributed Systems, Data Processing
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