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Lyte AI

Robotics perception platform with silicon-level fusion

QA / DevOps Engineer

DevOps EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field is required.
  • At least 5 years of experience in QA automation, DevOps, or software infrastructure is required.
  • Strong scripting skills in Python and Bash are required.
  • Hands-on experience with CI/CD systems such as GitLab CI, Jenkins, or GitHub Actions is required.
  • Experience with Docker and Kubernetes is required.
  • Familiarity with test automation frameworks and code-coverage tooling is required.
  • Expertise in version control and code-review workflows using Git is required.

Responsibilities

  • Design, build, and maintain CI/CD pipelines for embedded, firmware, and application software.
  • Develop and maintain automated test frameworks for unit, integration, system, and hardware-in-the-loop testing.
  • Manage build, artifact, and release infrastructure across heterogeneous targets.
  • Administer version control, code review, and branching workflows using Git and GitLab.
  • Provision and maintain cloud and on-premises infrastructure using AWS and containerized services with Docker and Kubernetes.
  • Track quality metrics, coverage, and regressions, and drive continuous improvement.
  • Support hardware-in-the-loop and factory test automation.
  • Champion QA best practices and release readiness across teams.

Desired Qualifications

  • Experience in embedded or firmware test automation and hardware-in-the-loop testing is preferred.
  • Experience with infrastructure-as-code tools such as Terraform and Ansible is preferred.
  • Experience with RTOS/Linux embedded build systems is preferred.
  • Experience with observability tools for logging, metrics, and dashboards is preferred.
  • A background in robotics or safety-critical software is preferred.

About the Company

Lyte AI

Robotics perception platform with silicon-level fusion

Lyte AI builds an end-to-end perception stack for robots, from custom sensing silicon to software. Its LyteVision platform combines camera data, inertial measurements, and a 4D distance-velocity sensor into a single synchronized data stream at the silicon level. This reduces latency and calibration drift that can occur when stitching together separate sensors. The system is designed for industrial uses such as inspection, logistics, and manufacturing robots, and also aims to power broader Physical AI platforms. The company differentiates itself through its fully integrated, silicon-level sensor fusion and a pedigree of engineers who helped create depth sensing for devices like Face ID and Kinect, backed by substantial funding to scale silicon production and deployments. Its goal is to provide reliable, low-latency robot perception to enable scalable automation across industrial settings.

Company size
51-200
Company stage
Series C
Total funding
$272M
Headquarters
Mountain View, CA
Founded
2021

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