DevOps Machine Learning Infrastructure

Job Description

Job Description

Summary Description :

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented DevOps Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering function in a growing organization.

This individual will play a crucial role in maintaining and enhancing our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.

Specific Duties and Responsibilities :

• Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
• Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance.
• Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval.
• Implement CI / CD pipelines to automate testing and deployment processes.
• Collaborate across teams to ensure seamless integration of cloud-native tools and practices.
• Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
• Troubleshoot & resolve issues across different environments (development, staging, production).
• Participate in code reviews, pair programming, and knowledge sharing sessions.

Requirements

Qualifications, Education, and Experience Required :

Benefits

Benefits Summary :

About Syntiant :

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

One element in our total compensation package is base pay. The starting base pay for this role is targeted to be between $125,000 - $145,000. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.