Job Overview
As a Senior Software Engineer at Enchanted Tools, you will be at the forefront of integrating Large Language Models (LLM) and Vision Language Models (VLM) into our advanced robotic systems. Your role will involve designing and implementing efficient pipelines for LLM/VLM integration, focusing on real-time, multimodal data processing including vision, audio, text, and sensor fusion. You will leverage your expertise in quantization techniques and model size reduction methods to optimize models for deployment on edge devices with limited computational resources.
Responsibilities
- Design and implement efficient pipelines for LLM/VLM integration into robot control systems.
- Leverage expertise in quantization techniques and model size reduction methods.
- Collaborate with R&D teams to ensure seamless integration of AI models with robot hardware, software, and sensor systems.
- Stay up-to-date on the latest advancements in deep learning on the edge and multimodal processing.
- Design and implement benchmarks and continuous monitoring systems to evaluate model performance and its downstream effects on the data pipeline.
- Evaluate potential third-party partners and collaborate with other engineers to develop innovative solutions.
Qualifications
- Master's or Ph.D. degree in Computer Science, Machine Learning, Robotics, or a related field.
- 3+ years of experience in developing and deploying deep learning models, focusing on multimodal data processing.
- Proven experience with LLM and/or VLM architectures, applying best MLOps practices.
- Real hands-on practices with LLM implementation tools and frameworks (LangChain, RLHF, Vector DBs).
- Expertise in Python programming and deep learning frameworks (e.g., PyTorch, ONNX).
- Hands-on experience with containerization technologies like Docker and deployment frameworks like TensorRT for on-device inference.
Plus Points
- Experience with robot simulation platforms (e.g., Isaac, Gazebo, Rviz).
- Experience with robotics and embedded systems programming.
- Experience in multimodal data processing or affective computing.
- Experience with cloud computing (AWS Sagemaker, GCP).
Hiring Process
- Video interview with a recruiter.
- Video Interview with the Hiring Manager.
- Video interview with the HR Director.
- Offer.
You are welcome to visit our offices and meet Miroki and Miroka during the process.
Benefits Extracted with AI
- Freedom to test and own your work
- Opportunity to work on cutting-edge technology
- Chance to make a real impact on the future of robotics
- Collaborative and supportive work environment
- Chance to learn and grow with a team of talented engineers
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