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Senior Computer Vision / AI Engineer (Remote)

Roles & Responsibilities

  • 4–8+ years of experience in technology development and engineering leadership
  • Strong proficiency in C++ and Python (minimum 5 years)
  • Experience developing on Linux platforms
  • Expertise in computer vision, machine learning, or deep learning systems

Requirements:

  • Develop high-quality real-time embedded software focused on performance and reliability
  • Apply computer vision and deep learning techniques to analyze LiDAR, video, and radar data
  • Build perception algorithms for object detection, classification, and tracking
  • Collaborate across multiple teams working on mobility and transportation technologies

Job description

Taraki is hiring for one of its clients in US.

Role Overview This is an opportunity to become a key contributor to a growing organization focused on solving high-impact mobility problems. The Senior Computer Vision AI Software Engineer will lead engineering efforts, design and implement advanced software systems, and collaborate with cross-functional teams to deliver reliable AI-powered solutions.

Responsibilities

Business Responsibilities
- Contribute to the companys growth strategy and technical direction
- Collaborate across multiple teams working on mobility and transportation technologies
- Troubleshoot and support field applications
- Work within a Scrum/Agile development environment
- Conduct knowledge transfer and training for engineers
- Mentor team members and conduct one-on-one meetings

Technical Responsibilities
- Develop high-quality real-time embedded software focused on performance and reliability
- Apply computer vision and deep learning techniques to analyze LiDAR, video, and radar data
- Build perception algorithms for object detection, classification, and tracking
- Define requirements for hardware, software, and communication systems
- Develop embedded firmware in C++
- Build and maintain data pipelines and datasets for model training
- Integrate deep learning models into perception systems
- Maintain solutions for object recognition and obstacle detection
- Produce clear technical documentation from architecture to implementation guides
- Conduct technical analysis of optical devices such as LiDAR
- Implement best practices including automated testing, CI/CD, code reviews, and code standards
- Design systems resilient to failures
- Work with vendors and technology partners to resolve technical issues
- Stay current with research in AI and computer vision

Required Skills and Experience
- 4–8+ years of experience in technology development and engineering leadership
- Strong proficiency in C++ and Python (minimum 5 years)
- Experience developing on Linux platforms
- Expertise in computer vision, machine learning, or deep learning systems
- Experience with Kalman filters and model development for object detection and classification
- Experience processing sensor data from cameras, LiDAR, radar, and sensor fusion systems
- Strong software design, system architecture, and algorithm development skills
- Experience building distributed or real-time embedded systems
- Ability to write maintainable, production-grade software

Preferred Qualifications
- Experience with NVIDIA Jetson edge devices (Nano, NX, Orin)
- Familiarity with NVIDIA libraries such as TensorRT and DeepStream
- Experience with robotics or perception systems
- Knowledge of networking, multithreading, and distributed systems
- Experience with data labeling and image annotation
- Knowledge of cloud architecture or web systems

Education
BS, MS, or PhD in Computer Science, Robotics, Artificial Intelligence, Software Engineering, Electrical Engineering, Applied Mathematics, Physics, or a related field.

Soft Skills
- Strong problem-solving ability
- Excellent communication and collaboration skills
- Ability to work independently and in fast-paced environments
- Ability to prioritize tasks and explain technical decisions clearly

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