Senior Computer Vision & AI Engineer - Intelligent Mobility Systems

Position Summary

We are seeking a highly innovative Senior Computer Vision & AI Engineer to develop next-generation proof-of-concept (POC) solutions for intelligent mobility and in-vehicle applications. This role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and artificial intelligence technologies on vehicle-grade edge computing platforms.
The ideal candidate is passionate about transforming cutting-edge research into real-world automotive and mobility solutions. You will work at the intersection of AI, computer vision, embedded systems, and intelligent transportation technologies, developing advanced perception and multimodal AI systems that enable safer, smarter, and more connected vehicle experiences.

Key Responsibilities

AI & Computer Vision Development

• Develop proof-of-concept systems leveraging state-of-the-art AI and computer vision technologies.
• Design and implement advanced computer vision algorithms for:
  • Object detection and tracking
  • Semantic and instance segmentation
  • 3D scene understanding
  • Visual localization and mapping
  • Driver and occupant monitoring
  • Human behavior and activity recognition
• Build innovative solutions using modern AI architectures, including:
  • Vision Transformers (ViT)
  • Vision-Language Models (VLMs)
  • Foundation Models
  • Multimodal AI
  • Self-Supervised Learning
  • Generative AI

Research & Innovation

• Evaluate and adapt the latest AI and computer vision research for automotive and intelligent mobility applications.
• Reproduce, validate, and extend findings from leading academic and industry publications.
• Stay current on emerging trends in computer vision, edge AI, multimodal learning, autonomous systems, and intelligent mobility.

Edge AI & Embedded Deployment

• Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.
• Design real-time perception systems that operate within vehicle constraints, including:
  • Compute resources
  • Memory limitations
  • Power consumption
  • Latency requirements
  • System robustness
• Optimize AI models for deployment on automotive-grade SoCs, GPUs, and AI accelerators.
• Develop software for deployment, testing, and demonstration on vehicle-based POC platforms.

Systems Integration & Prototyping

• Integrate camera, vehicle, and sensor data to create innovative AI-driven mobility applications.
• Prototype, validate, and evaluate end-to-end solutions on embedded devices, research platforms, and vehicle systems.
• Analyze tradeoffs among accuracy, latency, memory footprint, and operational robustness.
• Collaborate with researchers, software engineers, and systems engineers to bring advanced concepts into working demonstrations and prototypes.

Required Qualifications

• Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field.
• Strong foundation in Computer Vision and Machine Learning.
• Hands-on experience with deep learning frameworks such as:
  • PyTorch
  • TensorFlow
  • OpenCV
• Experience developing and training deep learning models, including:
  • Convolutional Neural Networks (CNNs)
  • Transformers
  • Vision Transformers (ViT)
  • Vision-Language Models (VLMs)
  • Multimodal AI architectures
• Strong programming skills in Python and C++.
• Demonstrated experience reading, reproducing, and extending recent AI and computer vision research.
• Familiarity with Linux-based development environments.
• Strong analytical, problem-solving, verbal, and written communication skills.

Preferred Qualifications

• Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
• Hands-on experience with modern computer vision technologies such as:
  • CLIP
  • Segment Anything Model (SAM)
  • DINOv2
  • BEV-based perception models
  • Similar state-of-the-art vision frameworks
• Experience with Generative AI and synthetic data generation techniques.
• Experience developing software for embedded Linux platforms.
• Experience with AI inferenceoptimization frameworks such as:
  • CUDA
  • TensorRT
  • ONNX Runtime
  • OpenVINO
• Experience deploying and optimizing AI models on edge devices and automotive computing platforms.
• Familiarity with embedded AI hardware platforms including:
  • NVIDIA Jetson
  • NVIDIA DRIVE
  • Qualcomm Snapdragon Ride
  • Similar automotive AI platforms
• Experience with ROS/ROS2, sensor fusion, robotics, or automotive software systems.
• Experience in automotive, autonomous systems, robotics, intelligent transportation systems, or related industries.
• Publications in leading AI, computer vision, robotics, or machine learning conferences are highly desirable.

Impellam Group and its brands are equal-opportunity employers committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, pregnancy or maternity, national origin, age, disability, veteran status, or any other factor determined to be unlawful under applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application, interview process, pre-employment activity, and the performance of crucial job functions.

If you require additional disability considerations, modifications, or adjustments please let us know by contacting HR-InfoImpellamNA@impellam.com or fill out this form to request accommodations.