Perception Engineer (Robotics)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Hybrid in San Francisco, California; based in the Bay Area with the ability to be onsite at the SF office on a daily or weekly basis.
Company
deploys autonomous systems on heavy construction equipment to improve job-site safety and accelerate critical infrastructure projects.
What you will do
- Extend, modify, and adapt existing perception signals for customer analytics.
- Define and scope feasible applications of advanced perception systems with customers.
- Develop perception features for measuring dig productivity and safety across construction sites.
- Work with camera, lidar, and other sensor data to support real-world analytics.
- Deploy models and analytics directly to fleets of autonomous machines.
Requirements
- MSc or advanced degree in Computer Science, Robotics, or a related field.
- 4+ years of professional experience shipping perception systems to production, ideally on robotic or embedded platforms.
- Hands-on experience with a modeling framework such as PyTorch and proficiency in Python.
- Ability to read and write at least one systems language, such as C++ or Rust.
- Experience incorporating camera, lidar, and IMU data into learned pipelines.
- Strong knowledge of 3D geometry, sensor calibration, coordinate transforms, camera re-projection, and sensor-data analysis.
Nice to have
- Experience working with customers to understand perception data and analytics.
- Experience with Rust.
- Published work in venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS.
Culture & Benefits
- Work alongside construction veterans and engineers on physical-world robotics problems.
- Build and deploy autonomous systems in real construction environments.
- Flexible roles may consider candidates from other locations, particularly locations with company offices such as San Francisco or New York.
- Inclusive workplace with equal-opportunity employment and reasonable accommodations during hiring.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β