Edge AI Engineer

Joining our team as an Edge AI Engineer will provide you with the opportunity to work on cutting-edge AI solutions that will shape the future of edge computing

Job Title: Edge AI Engineer

Location: San Francisco, California, United States

Salary: $138 Per hour

Position Overview: We are seeking a highly skilled and motivated Edge AI Engineer to join our dynamic team. As an Edge AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge Artificial Intelligence (AI) solutions that can be deployed at the edge of a network. You will work closely with our cross-functional teams to understand business requirements and translate them into scalable AI models that can run efficiently on edge devices. The ideal candidate will have a strong background in AI, deep learning, and edge computing, along with excellent analytical and problem-solving skills.

Key Responsibilities:

• Design and develop AI solutions that can be deployed at the edge of a network.
• Work closely with our cross-functional teams to understand business requirements and translate them into AI models.
• Develop and implement efficient algorithms for data preprocessing, feature extraction, and model training on edge devices.
• Optimize AI models for performance, memory, and power consumption at the edge.
• Conduct experiments and perform data analysis to evaluate the performance of AI models.
• Collaborate with Hardware Engineers to optimize software for specific hardware architectures.
• Keep up-to-date with the latest advancements in AI and edge computing technologies.
• Participate in code reviews, and provide constructive feedback to improve the quality of code.
• Troubleshoot and resolve complex technical issues related to AI models deployed at the edge.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Minimum of 3 years of experience in developing AI solutions.
• Strong programming skills in Python, C++, or Java.
• Solid understanding of deep learning algorithms and frameworks like TensorFlow, PyTorch, or Keras.
• Experience with edge computing frameworks such as OpenCV, TensorRT, or Tensorflow Lite.
• Familiarity with edge devices such as Raspberry Pi, NVIDIA Jetson, or Qualcomm Snapdragon.
• Experience with hardware acceleration techniques like FPGA, GPU, or DSP is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Ability to thrive in a fast-paced and dynamic environment.

You will be part of a collaborative and diverse team, where your ideas and contributions will be valued and recognized. We offer a competitive salary, benefits package, and a flexible work schedule. If you are passionate about AI and have a keen interest in edge computing, we would love to hear from you. Apply now and be a part of our exciting journey towards revolutionizing the world of AI and edge computing.