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Syntiant

Edge AI processors and scalable models

Full Stack Engineer - Cloud & On Premise

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA$135k - $175k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Proficiency in Python and experience with API development.
  • Hands-on experience deploying, scaling, and managing AWS EKS and Kubernetes clusters.
  • Knowledge of Docker and Kubernetes containerization technologies.
  • Experience with cloud infrastructure services such as S3, RDS, and VPCs.
  • Familiarity with GitLab CI/CD or Jenkins.
  • Understanding of database systems, including MongoDB, PostgreSQL, and MySQL.
  • Experience with on-premises storage solutions such as Ceph and NFS.
  • Expertise in Linux system administration.
  • Ability to write clean, maintainable code and perform thorough testing.
  • Eligibility for U.S. security clearance; U.S. citizenship is required.
  • Active security clearance is preferred.
  • Ability to troubleshoot and resolve issues across development, staging, and production environments.

Responsibilities

  • Develop, maintain, and optimize RESTful APIs using Python and FastAPI.
  • Deploy and manage applications on AWS EKS, ensuring high availability, scalability, and performance.
  • Integrate data sources and services such as MongoDB and PostgreSQL for efficient data storage and retrieval.
  • Implement CI/CD pipelines to automate testing and deployment processes.
  • Collaborate with the DevOps team to integrate cloud-native tools and practices.
  • Work with customers to deploy company software onto customer compute systems and networks, including private cloud environments.
  • Maintain on-premises servers running Ceph, PostgreSQL, and NFS services.
  • Troubleshoot and resolve issues across development, staging, and production environments.
  • Participate in code reviews, pair programming, and knowledge-sharing sessions.
  • Coordinate and collaborate with cybersecurity staff.

Desired Qualifications

  • Experience with cloud-native observability tools such as Prometheus and Grafana.
  • Familiarity with Kubernetes operators and Helm charts.
  • Knowledge of on-premises container orchestration using Kubernetes or similar technologies.
  • Experience with DevOps best practices and infrastructure as code using Terraform or Ansible.

About the Company

Syntiant

Edge AI processors and scalable models

Syntiant creates edge AI hardware and software that run deep learning models on-device in power-limited products. Its Neural Decision Processors and scalable neural models are designed to operate in compute-constrained environments and can run on a wide range of hardware—from the smallest MCUs to large GPUs—without relying on cloud servers. This lets devices like smart home gear, cars, personal devices, and industrial products perform intelligent tasks locally, saving battery power and reducing cloud costs. Syntiant differentiates itself by offering hardware-agnostic, scalable ML models that deliver much higher efficiency and throughput for edge inference across diverse platforms. The company’s goal is to enable practical on-device AI across multiple industries, improving user experience while lowering energy usage and cloud dependence.

Company size
201-500
Company stage
Late Stage VC
Total funding
$120.1M
Headquarters
Irvine, CA
Founded
2017

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