Hadrian
Robotics Software Engineer, Perception
$299K–$359K
San Francisco Bay Area, CA · On-site · Full-time · Posted Aug 10, 2026
- Experience
- 10+ years; Staff or Principal level (or equivalent scope).
- Visa sponsorship
- Must be a U.S. citizen or national, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State to meet ITAR requirements.
About the job
Lead the Perception team’s technical direction and build reliable, real-time perception systems for autonomous factory robotics.
What you'll do
- Define the team’s multi-year roadmap and lead architecture for the perception pipeline.
- Set sensor-fusion strategy and integration contracts with planning, manipulation, control, simulation, and hardware teams.
- Establish data, training, evaluation, deployment, and validation practices for simulation and real-world systems.
What they ask for
- 10+ years in software engineering for computer vision, robotics perception, or autonomous systems, with Staff- or Principal-level technical leadership (or equivalent scope).
- Expertise in production 3D computer vision, including point clouds, depth estimation, stereo or structured light, multi-view geometry, and/or LiDAR algorithms.
- Strong machine-learning foundations and experience building and deploying real-time perception systems under hard latency and reliability constraints.
- Strong C++ and Python proficiency; experience in applied robotics environments and cross-team technical leadership.
Nice to have
- M.S. or Ph.D. in Computer Science, Robotics, or a related field, concentrated in computer vision, machine learning, or perception.
- Sensor-fusion experience, edge model optimization, or publications, patents, or significant open-source contributions in relevant fields.
Pay
$299,000 - $359,000 USD base salary
Tools
C++, Python, LiDAR, TensorRT
AI focus
Build production perception and machine-learning systems for autonomous factory robotics, including object detection and tracking, segmentation, pose estimation, scene understanding, and sensor fusion.
Model-written summary · the original posting is authoritative