Senior Perception Engineer - VIO / SLAM / Sensor Fusion
Tasks
- Build visual inertial odometry pipelines
- Create log replay and evaluation datasets
- Debug real mission logs and isolate root causes
- Develop SLAM and relocalization capabilities
- Develop and deploy state-estimation algorithms
- Fuse and synchronize multi sensor data
- Integrate perception outputs with autonomy systems
- Mentor engineers and review architecture
- Optimize perception pipelines for onboard compute
- Own real time perception and localization stack
- Perform intrinsic extrinsic and temporal calibration
- Run automated regression tests for localization performance
Perks/Benefits
- Equity
- Gym membership
- Paid time off
- Professional mentorship
- Stock options
- Team offsites
- Wellness programs
- Yoga access
Skills/Tech-stack
3D Computer Vision | Bundle adjustment | C++ | CUDA | CUDA kernels | Calibration | Computer Vision | Deep learning | EKF | Extended Kalman | Extended Kalman Filter | Factor Graphs | Filtering | GNSS-denied navigation | Inertial Navigation | Inertial odometry | Kalman Filter | Least-squares) | Linear Algebra | Linux | Low Power Edge GPUs | Low power | Map-based localization | NVIDIA Jetson | Nonlinear least squares | Optimization | Probability | Python | Re localization | Real Time | Real-time Systems | Rolling Shutter Correction | Rolling shutter | Rust | SLAM | Sensor fusion | State Estimation | Time Synchronization | Time Systems | Visual-inertial odometry
Education
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