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You will be challenged to improve robustness and accuracy of obstacle perception DNN models using multiple sensor modalities (e.g., camera, radar, and lidar) under challenging and diverse scenarios to fully enable autonomous driving anywhere and anytime.
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Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera / Vision, RADAR, LIDAR, INS / IMU) We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale.
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Create, design autonomous flight development and testing kits, tools, and scripts for sensor calibration, time synchronization, data visualization, and training data processing, etc. Test and validate autonomous flight hardware and software integration for AIBOT’s aircraft and drone products.
$93,000 - $123,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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We achieve this by leveraging advancements in robotics, artificial intelligence, and autonomous systems to bring about a new mobility aid that enables individuals who are blind to navigate their surroundings confidently and independently.
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As the one-stop-shop leader for traffic management systems, sensor products, and services, Econolite is committed to the advancement of connected and autonomous vehicles, smart cities, and cybersecurity.
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Scientific Systems Products Division is looking to fill a Principal Software Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems, with specific background in designing software architecture for integration within DoD-standard software frameworks (preferably OMS/UCI.
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Sensor integration and operation including both visible and IR PTZ cameras, radar, Marine AIS, subsea acoustic sensors and satellite communications. This job will be to develop software that works in seamless concert with modules supplied by partners, including writing software, software test automation, software update automation, adapter code to experiment with new approaches to data fusion, sensor automation, collection prioritization, sensor data capture, data transmission, and command queuing.
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We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide.
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Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems.
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This vacancy is within MME MCU/MPU Digital IP team we develop best in class digital IPs for Automotive business and/or Advanced microcontrollers in NXP which offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow.
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By leveraging AI/ML, Dedrone is the only solution that provides continuous, autonomous interrogation and verification of drones that enables both multi-sensor and multi-mitigation options onto a single fused "pane-of-glass.
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Founded at Stanford University, Walaris develops autonomous AI-based solutions focused on enhancing situational awareness. Our AirScout software platform uses artificial intelligence, sensor fusion, and edge computing to detect threats in the air, on sea or on the ground.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We are seeking someone with a strong Traffic Engineering background and a passion for traffic management applications to help take our products and solutions to the next level. Demonstrated expertise in Traffic Signal Timing, Traffic Signal Design, or Travel Modeling and Implementation.
$85,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments.
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