Autonomous Vehicle Software Developer
3 days ago
About Applied Intuition
We're a vehicle software supplier accelerating the adoption of safe and intelligent machines worldwide. Our AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack help customers shorten their time-to-market, build high-quality systems, and create next-generation consumer experiences.
Our clients include 18 of the top 20 global automakers. We serve various industries, including automotive, trucking, construction, mining, agriculture, and defense, with headquarters in Mountain View, CA, and offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.
About the Role
We're seeking a skilled software engineer with expertise in mapping and localization for autonomous vehicles or mobile robots. You will work in our dynamic and customer-focused team culture, focusing on building a mapping and localization system for an off-road vehicle for autonomous and advanced driver-assistance use cases.
Your contributions 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, 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.
At Applied Intuition, 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 estimated salary range for this position is: $125,000 - $222,000 USD annually.
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