Software Engineer - Perception (Fallback Stack)

Applied Intuition•Sunnyvale, CA

35d•Onsite

About The Position

We are looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of our core simulation engine. As a Perception Engineer on the Fallback Stack team, you will build perception capabilities that help autonomous vehicles recognize uncertainty, degradation, and failure—and respond safely. Your work ensures the system knows its limits and can trigger safe fallback behavior or human assistance when needed 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 we 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 Intuition, you will: Design and implement simulation capabilities and workflows to enable cutting-edge real-world perception system development 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 product teams at our customers Design perception and uncertainty signals that gate fallback behaviors. Deploy production systems that directly impact vehicle safety and ODD expansion

Requirements

Experience using ML for uncertainty estimation, confidence calibration, or OOD detection
Is passionate about turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
5+ years of experience in AV, robotics, or safety-critical perception systems
Proficiency in C++ and/or Python and production-grade software practices
Has hands-on experience with more than one domain relevant software framework or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
Has worked with production level ML and DL perception algorithms for autonomous vehicles

Nice To Haves

MSc or PhD in perception or closely related field
Experience with degraded sensors, adverse weather, or real-world edge cases
Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, distributed systems
Familiarity with fallback systems, MRM concepts, or safety cases (ISO/SOTIF)

Responsibilities

Design and implement simulation capabilities and workflows to enable cutting-edge real-world perception system development
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 product teams at our customers
Design perception and uncertainty signals that gate fallback behaviors.
Deploy production systems that directly impact vehicle safety and ODD expansion