Software Engineer - Perception (Fallback Stack)
Builds perception capabilities for autonomous vehicle simulation engine, focusing on uncertainty detection and safe fallback behaviors. Requires 5+ years in AV/robotics perception, ML expertise, and C++/Python proficiency.
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
Requirements
- Experience using ML for uncertainty estimation, confidence calibration, or OOD detection
- 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
- 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
- Worked with production level ML and DL perception algorithms for autonomous vehicles
Nice to Have
- 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)
Compensation
Base salary range: $151,000 - $255,000 USD annually (plus equity and benefits)
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