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Lyte AI

Robotics perception platform with silicon-level fusion

Software Engineer - Platform & Tools team

Backend EngineeringUpdated on Nov 15
Full-timeBucharest, RomaniaIn-person

About the Job

Requirements

  • Strong professional-level Python skills, including designing clean interfaces and maintainable code.
  • Some C or C++ experience, with comfort reading and writing lower-level code.
  • System design fundamentals, including reasoning about data models, API design, scalability, and failure modes.
  • Working DevOps knowledge, including CI/CD, containerization, infrastructure-as-code, monitoring/logging, and ownership of services after launch.
  • Experience building and maintaining backend services or APIs (REST or GraphQL) backed by a database.
  • A track record of shipping tools used by other engineers, with attention to tool users.
  • Comfort working across backend, data pipelines, lightweight frontend, and SDK development.
  • Work authorization, qualifications, or availability details beyond the listed technical requirements are not stated.

Responsibilities

  • Collect and structure data from test stations and route it reliably into shared storage and downstream pipelines.
  • Build and evolve backend services, including a database-backed GraphQL API, S3-based data and artifact storage, and related pipelines.
  • Develop and maintain a well-designed, documented, stable SDK for other engineering teams.
  • Build internal visualization and analytics tools that enable engineers and non-engineers to explore production and test data without writing code.
  • Design, deploy, and operate AWS-based pipelines from ingestion through processing to reporting.
  • Own systems end to end, including architecture, implementation, deployment, monitoring, and triage when issues occur.
  • Partner with hardware, firmware, and manufacturing engineers to turn loosely specified needs into reliable tooling.
  • Make and explain system design tradeoffs involving schema design, API contracts, storage choices, and scaling limits.

Desired Qualifications

  • Hands-on AWS experience, including Lambda, S3, API Gateway/CloudFront, ECS/EKS, CloudWatch, and IAM.
  • Infrastructure-as-code experience with Terraform, CloudFormation, or CDK.
  • GraphQL experience, including schema design, resolvers, and federation.
  • Experience building internal dashboards or visualization tools using platforms such as Streamlit, Dash, or Grafana.
  • Experience with containerized deployments using Docker, Kubernetes, or ECS.

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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