Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a DevOps Machine Learning Infrastructure Intern to take on a role supporting our Software Engineering team.
The DevOps Intern will work alongside engineers to help build, maintain, and enhance 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 application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.
Requirements
- 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
Qualifications
- Candidate pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience, with relevant coursework, research, or project experience.
- Proficiency in Python, with familiarity using FastAPI for API development.
- Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Exposure to cloud infrastructure services such as S3, RDS, and VPCs.
- Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
- Familiarity with database systems, including MongoDB, PostgreSQL, and NFS.
- Exposure to on-premises storage solutions like Ceph.
- Familiarity with Linux system administration.
- Willingness to learn to write clean, maintainable code and perform thorough testing.
- Strong problem-solving skills and a strong attention to detail.
- Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus.
- Familiarity with Kubernetes operators and Helm charts is a plus.
- Exposure to container orchestration on-premises using K8s or similar technologies is a plus.
- Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus.
Benefits
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.
Skills Required
- Pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience
- Relevant coursework, research, or project experience
- Proficiency in Python
- Familiarity with FastAPI for API development
- Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters
- Familiarity with Docker and Kubernetes
- Exposure to AWS S3, RDS, and VPC services
- Familiarity with GitLab CI/CD or Jenkins
- Familiarity with MongoDB, PostgreSQL, and NFS
- Exposure to on-premises storage solutions such as Ceph
- Familiarity with Linux system administration
- Willingness to learn, write clean maintainable code, and perform thorough testing
- Strong problem-solving skills and attention to detail
- Exposure to Prometheus and Grafana
- Familiarity with Kubernetes operators and Helm charts
- Exposure to on-premises container orchestration using Kubernetes or similar technologies
- Exposure to DevOps best practices and infrastructure as code using Terraform or Ansible
Syntiant Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Syntiant and has not been reviewed or approved by Syntiant.
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Healthcare Strength — Benefits descriptions emphasize comprehensive medical, dental, and vision coverage with reports of company-paid premiums for employees and families, plus mental health resources and disability protection.
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Retirement Support — Offerings include a 401(k) plan and broader financial programs aimed at long-term security, aligning with standard tech-sector retirement provisions.
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Equity Value & Accessibility — Compensation packages for technical roles commonly include equity awards and performance bonuses, indicating access to ownership alongside base pay.
Syntiant Insights
What We Do
Syntiant produces unique, always-on and low-power AI solutions that bring new levels of human voice interaction to keyboards, touch screens, mice and additional digital devices.
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