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Ambarella

Edge AI vision processors for cameras

Information System Engineer 2

DevOps & InfrastructureConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of hands-on experience as a Linux System Administrator.
  • Strong understanding of Linux operating system installation, updates, kernel modules, services, and performance tuning.
  • Proficiency administering Kickstart, DNS, DHCP, NFS, LDAP, and NIS.
  • Experience configuring and troubleshooting Apache web servers.
  • Hands-on experience with Docker or Podman containers.
  • Strong troubleshooting skills across system, storage, networking, and application layers.

Responsibilities

  • Install, configure, maintain, and upgrade Linux operating systems, including RHEL, CentOS, and Ubuntu.
  • Manage and support core infrastructure services such as Kickstart, DNS, DHCP, NFS, LDAP, and NIS.
  • Administer and maintain Apache web servers, including configuration, tuning, and security updates.
  • Deploy and manage container environments using Docker, Podman, or other container technologies.
  • Troubleshoot Linux system, storage, network, and application issues; perform root cause analysis and log investigation.
  • Implement and maintain server security, access controls, patching, and compliance.
  • Create and update documentation, runbooks, installation procedures, and operational guides.
  • Provide technical support and troubleshooting for Linux servers, services, and infrastructure components.
  • Perform helpdesk work.

Desired Qualifications

  • Experience with automation and configuration tools such as Ansible or Puppet.
  • Knowledge of virtualization platforms such as VMware or KVM, or cloud platforms.
  • Familiarity with monitoring tools such as Nagios, Grafana, and Zabbix.

About the Company

Ambarella

Edge AI vision processors for cameras

Ambarella develops AI vision processors for edge devices to extract meaningful insights from high-resolution video. Its chips and software run locally on cameras and embedded systems, enabling real-time analytics for applications such as ADAS, smart mirrors, drive recorders, security cameras, and industrial robotics, without sending data to the cloud. Revenue comes from licensing its AI vision processors and related software to manufacturers who integrate the tech into their products. The company differentiates itself by focusing on on-device, low-latency processing across automotive, security, consumer IoT, and industrial robotics markets, and by expanding capabilities through acquisitions like Oculii to add radar perception AI algorithms. Ambarella’s goal is to empower real-time, local decision-making in cameras and sensors, enabling safer, more capable edge devices across multiple industries.

Company size
501-1,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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