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# Computer Vision & Edge AI Research Engineer

- **Company:** Adapt Technology Llc
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $128,960.0 - $149,760.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Systems Engineering, Computer Vision, C++ (Programming Language), Program Optimization, Nvidia CUDA, Memory Management, Linux on Embedded Systems, Python (Programming Language), Machine Learning, Language Modeling, Object Detection, OpenCV, Open Source Technology, Tensorflow, Sensor Fusion, Software Engineering, Visual Systems, Pytorch, Large Language Models, Deep Learning, Model Validation, Generative AI, Linux Development, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, Hardware Acceleration, TensorRT, Multiaccess Edge Computing, Data Generation
- **Published:** July 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=79ed2cdfd4be264a

## About the Role

* Master's degree or Ph.D. in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field.
 * Strong foundation in Computer Vision, Machine Learning, and Deep Learning.
 * Professional experience developing AI or computer vision applications using Python and C++.
 * Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and OpenCV.
 * Experience developing and training modern deep learning models including:
 * CNNs
 * Transformers
 * Vision Transformers (ViT)
 * Vision-Language Models (VLMs)
 * Multimodal architectures
 * Ability to read, reproduce, evaluate, and extend published AI and computer vision research.
 * Experience working in Linux development environments.
 * Strong analytical, problem-solving, and software development skills.
 * Excellent written and verbal communication skills with the ability to collaborate across multidisciplinary teams., * Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
 * Familiarity with leading vision models and frameworks such as:
 * CLIP
 * Segment Anything Model (SAM)
 * DINOv2
 * BEV-based perception models
 * Similar state-of-the-art computer vision technologies
 * Experience with Generative AI, synthetic data generation, or data augmentation techniques.
 * Experience developing AI software for embedded Linux systems.
 * Experience optimizing AI inference using CUDA, TensorRT, ONNX Runtime, OpenVINO, or similar technologies.
 * Experience deploying machine learning models on embedded AI hardware or edge computing platforms.
 * Experience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar AI computing platforms.
 * Experience with ROS/ROS2, robotics, sensor fusion, or autonomous systems.
 * Background in automotive, robotics, intelligent transportation systems, or advanced mobility technologies.
 * Publications or significant contributions to leading AI, robotics, or computer vision conferences or journals.

What Will Help You Succeed

 * Passion for applying cutting-edge AI research to solve practical engineering challenges.
 * Curiosity to evaluate emerging technologies and rapidly prototype new ideas.
 * Ability to balance research innovation with real-world deployment constraints.
 * Strong ownership mindset with the ability to independently drive technical solutions.
 * Excellent collaboration skills and enthusiasm for working in cross-functional engineering teams., * Master's (Required), * Computer vision: 4 years (Preferred)
 * Python: 4 years (Preferred)
 * C++: 4 years (Preferred)
 * PyTorch: 3 years (Preferred)
 * TensorFlow: 3 years (Preferred)
 * OpenCV: 3 years (Preferred)
 * Linux development: 3 years (Preferred)
 * AI models: 4 years (Preferred)
 * Embedded AI: 3 years (Preferred)
 * Deploying Edge AI: 3 years (Preferred)

## Description

Are you passionate about building the next generation of AI-powered vision systems? Join a collaborative research and engineering team developing cutting-edge proof-of-concept solutions that bring advanced computer vision, multimodal AI, and edge computing into real-world intelligent mobility applications.

In this role, you'll work with the latest breakthroughs in AI research-from Vision Transformers and Vision-Language Models to Foundation Models and Generative AI-and transform them into working prototypes running on embedded vehicle platforms. If you enjoy solving challenging technical problems, experimenting with emerging technologies, and seeing your work deployed in real-world systems, this is an excellent opportunity.

What You'll Do

 * Design, develop, and validate proof-of-concept AI and computer vision systems for intelligent mobility and in-vehicle applications.
 * Research, evaluate, and implement state-of-the-art computer vision and machine learning techniques to solve real-world engineering challenges.
 * Develop perception algorithms for applications such as:
 * Object detection and tracking
 * Semantic and instance segmentation
 * 3D scene understanding
 * Visual localization and mapping
 * Driver and occupant monitoring
 * Human behavior recognition
 * Build AI solutions using modern architectures including:
 * Vision Transformers (ViT)
 * Vision-Language Models (VLMs)
 * Foundation Models
 * Multimodal AI
 * Self-Supervised Learning
 * Generative AI
 * Evaluate the latest research publications and open-source models, adapting them into practical proof-of-concept applications.
 * Develop real-time perception software that meets embedded computing constraints including latency, memory usage, power consumption, and reliability.
 * Integrate camera, vehicle, and sensor data to create innovative AI-driven solutions.
 * Deploy and optimize AI models for embedded and edge computing platforms using industry-standard optimization tools.
 * Prototype complete end-to-end systems on research vehicles, embedded hardware, and vehicle-grade computing platforms.
 * Analyze tradeoffs between model accuracy, inference speed, computational efficiency, and system robustness.
 * Collaborate closely with researchers, software engineers, and systems engineers throughout the development lifecycle.
 * Stay current with emerging technologies and advancements in computer vision, multimodal AI, edge AI, and intelligent mobility.


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