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Pronto

Autonomous haulage system retrofit for mining

Senior Perception Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have 3–5 years of relevant experience working with perception systems and computer vision and machine learning models.
  • Have strong software engineering skills in Python and/or C++.
  • Have experience developing perception systems for autonomous vehicles, robotics, drones, industrial automation, or other embodied systems.
  • Have experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities.
  • Have experience with multi-modal or multi-sensor architectures.
  • Have knowledge of 3D geometry, coordinate transformations, calibration, localization, or state estimation.
  • Have experience deploying machine learning models into real-time or safety-critical systems.
  • Have experience optimizing models for latency, compute, memory, or power constraints.
  • Have experience working with large-scale perception datasets and training infrastructure.
  • Have experience diagnosing long-tail failures and improving production perception systems through data-driven iteration.
  • Have experience taking research ideas from experimentation through deployment on physical systems.

Responsibilities

  • Design, train, and deploy machine learning models for perception in autonomous systems.
  • Develop algorithms for object detection, classification, segmentation, tracking, and scene understanding.
  • Build systems for 3D perception and geometric reasoning using cameras, LiDAR, radar, or other sensors.
  • Develop approaches for multi-sensor and multi-modal fusion, combining complementary sensor information into robust representations of the environment.
  • Build temporal models that reason about objects, motion, trajectories, and changes in the environment over time.
  • Improve perception performance across challenging real-world conditions, including occlusion, sensor noise, changing environments, and edge cases.
  • Develop data, training, evaluation, and experimentation pipelines that accelerate perception development.
  • Define metrics and evaluation methodologies that connect offline model performance to real-world system behavior.
  • Optimize perception models and systems for deployment on resource-constrained or latency-sensitive robotic platforms.
  • Investigate failures observed in deployed systems and translate those findings into improvements across models, data, and architecture.
  • Collaborate closely with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams.

Desired Qualifications

  • Publications or significant research contributions in computer vision, machine learning, robotics, or related fields are a plus, but not required.

About the Company

Pronto

Autonomous haulage system retrofit for mining

Pronto.ai retrofits heavy mining and quarry equipment with an Autonomous Haulage System (AHS) to operate autonomously in off-road sites. The base version uses a camera and GPS, while a premium multisensor kit adds lidar and radar; a driver teaches a route once and then dispatches are managed via a smartphone app. A safety framework certified to ASIL D is included through its SafeAI integration, and the system is designed to be OEM-agnostic for retrofit on existing machines. Partnerships with Bell Trucks America and Komatsu enable deployments across North America, with the goal of reducing safety risks, lowering operating costs, and boosting productivity in mining and quarry operations.

Company size
201-500
Company stage
Grant
Total funding
$1.3M
Headquarters
San Francisco, CA
Founded
2018

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