Solutions Architect/Machine Learning Engineer

About the position

The Senior Solutions Architect/ML Engineer's role is to work directly with BrainChip's current and future customers as well as engage with Sales and Engineering members, to support current and future customers and help develop and create structured support models, manage programs and projects. These models are targeted to support and solve problems for computer vision (classification, object detection), audio processing (keyword spotting), sensor fusion, and anomaly detection. You must be able to communicate effectively at the engineering level with customers, understand their objectives and needs to develop and articulate solutions to address customers' requirements.

Responsibilities

• Work with Sales and Engineering members, to support customers and help develop technical solutions for Brainchip's Akida Neuromorphic System-on-Chip (NSoC).
• Understand customer's technical requirements & propose solutions and manage projects related to customer activity resolve any customer challenges.
• Be the customer's trusted advisor and be the main interface between Customers and BrainChip.
• Understand and present complex technical requirements, problems, and solutions concisely in verbal and written communications.
• Know and understand ASIC development process and experience in Synthesis, Place and Route.
• Resolve customer issues with BrainChip's software or hardware technology.
• Interact with customers by walking them through the installation process, instructing them on how to operate the technology, and resolving any compatibility issues.
• Collaborate with software and hardware development teams, as needed.

Requirements

• B.S. in Computer Science, IT, or related technical field.
• Understanding of machine learning and deep learning experience using Python, Tensorflow.
• Firsthand experience with object classification, object detection, face recognition, keyword spotting a plus.
• Experience with different deep learning frameworks (e.g. PyTorch, Caffe).
• Experience with Git version control system.
• Strong experience in at least one application field CPUs, Tools and methodologies and/or machine learning.
• Broad understanding of Machine Learning, Deep Learning, CNN, and Neuromorphic Computing.

Nice-to-haves

• Strong verbal and written communication skills.
• Strong teamwork and interpersonal skills and analytical skills.
• Desire to be involved in a diverse and creative work environment.
• Must be a self-starter with mindset for growth and real passion for continuous learning.