Join NeonCue
Join us and be part of a global team shaping the future of video technology. We are always looking for passionate, forward-thinking individuals to help us push the boundaries of what’s possible. If you’re excited about joining a dynamic, collaborative environment where creativity and technology meet, explore our open positions and start your journey with us today!
Current Openings
Location: Los Angeles, CA or Seoul, South Korea(Hybrid/Remote)
Position Overview:
We are seeking an experienced AI Scientist with a deep understanding of video compression algorithms to lead the development of our core technology. In this role, you will drive the integration of AI techniques with traditional video compression methods, creating hybrid solutions that optimize compression rates while ensuring scalability and cross-platform compatibility. If you are passionate about pushing the boundaries of video technology and thrive in an innovative, collaborative environment, we want to hear from you.
Key Responsibilities:
– Design and develop AI-driven video compression algorithms that integrate with traditional codecs.
– Research, implement, and optimize machine learning models for video encoding, decoding, and compression efficiency.
– Collaborate with cross-functional teams to ensure solutions are scalable and adaptable to different platforms and devices.
– Stay up-to-date with the latest advancements in AI, machine learning, and video compression technologies.
– Conduct experiments and analysis to evaluate performance, quality, and scalability of new algorithms.
– Contribute to patents, research papers, and presentations to promote innovation within the company.
Qualifications:
– Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
– Proven experience in video compression, video codecs (e.g., H.264, HEVC, AV1), and AI-based compression methods.
– Strong background in deep learning, neural networks, and model optimization.
– Proficiency in programming languages such as Python, C++, or similar.
– Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and video processing tools.
– Ability to work independently and collaboratively within a team.
– Excellent problem-solving skills and a passion for innovation in video technology.
Preferred Qualifications:
– Experience in designing scalable AI systems for real-time video applications.
– Knowledge of cloud computing platforms and large-scale distributed systems.
– Previous research or contributions to the video compression industry.
What We Offer:
– Competitive salary and benefits package.
– Flexible working arrangements (remote options available).
– Opportunities for growth and professional development.
– The chance to work at the cutting edge of AI and video technology, shaping the future of digital media.
Location: Los Angeles, CA or Seoul, South Korea(Hybrid/Remote)
Position Overview:
We are seeking an AI Model Optimization Engineer who is experienced in fine-tuning AI models for efficient deployment on various hardware platforms. In this role, you will be responsible for optimizing deep learning models to ensure they run efficiently on devices with limited computational resources, from edge devices to cloud infrastructures. Your work will be critical in enhancing the performance and scalability of our AI-driven video compression solutions.
Key Responsibilities:
– Optimize AI models to improve runtime performance and reduce computational overhead for deployment on various hardware architectures (CPUs, GPUs, and specialized AI hardware).
– Work closely with the AI research and engineering teams to fine-tune deep learning models without sacrificing accuracy or functionality.
– Implement hardware-specific optimizations, such as quantization, pruning, and distillation techniques, to ensure efficient model execution.
– Develop tools and frameworks to automate model optimization workflows and facilitate faster deployment on customer platforms.
– Collaborate with hardware and software engineers to ensure compatibility of AI models with different hardware environments, including cloud, edge, and mobile devices.
– Conduct experiments to evaluate the performance of optimized models on different hardware setups and improve based on feedback.
– Stay up-to-date with the latest advancements in AI model optimization techniques and hardware accelerators.
Qualifications:
– Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field.
– Proven experience in optimizing AI/ML models for efficient deployment on hardware, including techniques such as quantization, model pruning, and knowledge distillation.
– Strong understanding of deep learning architectures, such as Transformers, and their computational requirements.
– Proficiency in deep learning frameworks such as TensorFlow and PyTorch.
– Experience with hardware acceleration libraries and optimizing models for GPUs, TPUs, and other specialized AI hardware.
– Solid programming skills in Python, C++, or similar languages.
– Familiarity with hardware-specific considerations for AI models, including memory management, power consumption, and latency.
– Excellent problem-solving skills and a focus on efficiency and scalability.
Preferred Qualifications:
– Experience working with edge devices, mobile platforms, or low-power AI hardware.
– Knowledge of cloud-based AI model deployment and optimization.
– Hands-on experience in video compression or streaming technologies.
What We Offer:
– Competitive salary and benefits package.
– Flexible working arrangements (remote options available).
– Opportunities for growth and professional development.
– The chance to work at the cutting edge of AI and video technology, shaping the future of digital media.
Location: Los Angeles, CA (Hybrid)
Position Overview:
We are seeking a highly skilled Software Engineer who is passionate about technology and customer service. In this role, you will be responsible for communicating with customers, providing technical support, and helping them integrate our video compression solutions into their platforms. This is a customer-facing role where you will work closely with both our internal engineering team and our clients to ensure smooth deployment and operation of our products.
Key Responsibilities:
– Serve as the primary technical point of contact for customers, providing support and guidance throughout the integration process.
– Assist customers in troubleshooting issues, resolving technical challenges, and ensuring successful implementation of our video compression solutions.
– Work closely with the product development and engineering teams to relay customer feedback and help shape future features and improvements.
– Develop and maintain technical documentation, FAQs, and support materials to aid customers in using our products effectively.
– Participate in customer meetings and calls to provide technical expertise and ensure clear communication of integration requirements.
– Assist in the testing and deployment of software solutions on customer platforms to ensure compatibility and optimal performance.
– Stay up-to-date with the latest advancements in our technology to provide knowledgeable support and recommendations to customers.
Qualifications:
– Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
– 5+ years of experience in a software engineering or technical support role, preferably in a customer-facing capacity.
– Proficiency in programming languages such as Python and C++.
– Experience with APIs, SDKs, and software integration workflows.
– Strong understanding of video compression technologies and codecs is a plus.
– Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
– Strong problem-solving skills and the ability to troubleshoot complex technical issues.
– Ability to work independently, manage multiple tasks, and collaborate effectively with cross-functional teams.
Preferred Qualifications:
– Experience in designing scalable AI systems for real-time video applications.
– Knowledge of cloud computing platforms and large-scale distributed systems.
– Familiarity with cloud services, DevOps, or software deployment processes.
– Previous experience in a customer-facing technical support role.
What We Offer:
– Competitive salary and benefits package.
– Flexible working arrangements (remote options available).
– Opportunities for growth and professional development.
– The chance to work at the cutting edge of AI and video technology, shaping the future of digital media.