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Full-time
Posted 7d ago
~40 hrs/week
Responsibilities
You will own the perception stack for a drone platform, focusing on reconstruction, pose estimation, and state estimation. Additionally, you will develop simulated environments to train and evaluate flight behavior and perception models.
Requirements
Candidates must have at least 2 years of experience in computer vision or robotics perception with systems deployed outside of a lab. Strong proficiency in multi-view geometry, SLAM, and PyTorch is required, along with experience working on moving platforms.
Full job description
Computer Vision Engineer — Perception for Autonomy
Location: [Palo Alto / hybrid]
The role:
We fly drones that inspect real infrastructure. That means reconstructing sites accurately enough to detect change over time, and giving the autonomy stack a picture of the world it can actually act on.
You'll own perception for a moving platform — reconstruction, pose, and the simulated environments we use to train and evaluate flight behavior. You'll work closely with the autonomy side without owning the flight controller.
What you'll work on:
Reconstruction — Gaussian splatting and photogrammetric pipelines producing metrically accurate, georeferenced scenes from drone imagery
Pose and state estimation — bundle adjustment, RTK/GNSS and IMU fusion, visual-inertial odometry, multi-camera calibration
Simulation for autonomy — turning reconstructions into training and evaluation environments for flight policies, and characterizing where sim diverges from reality
Change detection across reconstructions separated by weeks or months
Perception in the loop — defining what reconstruction and detection deliver to planning, and what happens when the estimate degrades
Detection and auto-labeling models running on the aircraft under real latency and power budgets
What we need:
2+ years in computer vision or robotics perception, with systems that ran outside a lab
Solid multi-view geometry — you can reason about what your estimator is doing and debug a bundle adjustment that won't converge
Hands-on SLAM, SfM, or visual-inertial odometry
Strong PyTorch; real experience training and debugging models on field data that doesn't look like the benchmark
Have worked on a moving platform — drone, vehicle, or robot — where ground truth is expensive and failures happen on site
Comfortable at the hardware boundary: camera sync, calibration rigs, reading flight logs
Enough robotics literacy to talk to the autonomy team — you know what a planner needs from perception and why latency and failure modes matter to it
Writes clearly enough that another team can act on your design doc
Strong signals:
3DGS or NeRF, especially large outdoor scenes
Reconstruction-backed simulation for robot training
Sim-to-real transfer or learned dynamics
ROS/ROS2, PX4/ArduPilot exposure
C++ alongside Python
Thermal, depth, or lidar fusion
How we work:
Small team, high autonomy, short path from prototype to field trial. Direct access to real aircraft and real customer sites. We hire people who go find the failure themselves.
BrightAI is transforming essential services with Physical AI—real-world intelligence that drives proactive, data-driven operations. Built on the Stateful platform, BrightAI empowers operators of critical infrastructure to collect and connect sensor data in real time, uncover hidden insights, and make smarter decisions. From predictive diagnostics and autonomous robotics to digital twins and AI-enabled workflows, BrightAI solutions serve industries including water, power, gas compression, pest control, HVAC, and manufacturing. By turning complex physical signals into actionable intelligence, BrightAI is redefining how essential services are delivered and sustained.
Offices: 1001 Page Mill Rd, Palo Alto, California 94304, US · Midland, Texas, US · Minneapolis, Minnesota, US
AIApplied AIIoTand Internet of ThingsInternet of ThingsCloud ComputingDronesArtificial Intelligence (AI)Mobile
How much do Data & Analytics jobs in Palo Alto, CA pay?
Based on 498 listings with disclosed salaries, most data & analytics jobs in Palo Alto, CA pay between $114k–$270k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Palo Alto, CA right now?
There are currently 608 open data & analytics positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Palo Alto, CA?
Companies currently hiring include Amazon, Rivian, JPMorganChase, SpaceXAIA, SpaceX, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Palo Alto, CA?
Yes — 278 of the 608 open data & analytics positions offer remote or hybrid work (59 remote, 219 hybrid).
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