Applied Intuition is looking to solve the problem of building out key capabilities of perception modules within an autonomous vehicle stack.
Requirements
- Hands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
- Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
- Experience working with production level ML and DL perception algorithms for autonomous vehicles
- Hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systems
- Experience building and shipping software frameworks or tools
Responsibilities
- Design and implement capabilities and workflows for cutting-edge real-world perception systems
- Work closely with our sensor simulation team to ensure we build the best range of multi-fidelity simulation models
- Work closely with our infrastructure team to provide the best enterprise software for engineering, testing, and customer product teams
Other
- Passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
- 3+ years of experience building software components or (sub) systems that address real-world perception challenges
- MSc or PhD in perception or closely related field
- In-office work 5 days a week with occasional remote work flexibility
