Software Engineer – Platform & Tools team

Posted 10 Days Ago
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Bucharest, ROU
In-Office
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics
The Role
Build and operate internal platform software, including data ingestion pipelines, backend APIs, AWS infrastructure, SDKs, dashboards, and analytics tools. Own systems end to end from architecture through deployment, monitoring, and incident triage. Partner with hardware, firmware, and manufacturing teams to deliver reliable tooling and make system design decisions involving schemas, APIs, storage, and scalability.
Summary Generated by Built In

About Lyte

Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai


If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!

About the role

  • The Platform & Tools team builds and maintains internal software used across the organization. That covers everything from pulling clean data off the test floor to the backend services, data infrastructure, dashboards, and SDK that make that data usable across the company. It's a small, high-leverage team: what you ship gets used by engineers, technicians, and leadership within days, not quarters, and you'll typically own a system end to end rather than one layer of it.

What you'll do

  • Collect and structure data coming off test stations, and get it flowing reliably into shared storage and downstream pipelines 
  • Build and evolve backend services: a database-backed GraphQL API, S3-based data/artifact storage, and the pipelines that feed them 
  • Develop and maintain an SDK used by other engineering teams, so it needs to be well designed, well documented, and stable across releases 
  • Build internal-facing visualization and analytics tools, so engineers and non-engineers can explore production and test data without writing code 
  • Design, deploy, and operate AWS-based pipelines, from ingestion through processing to reporting 
  • Own your systems end to end: architecture, implementation, deployment, monitoring, and triage when something breaks 
  • Partner directly with hardware, firmware, and manufacturing engineers to turn loosely specified needs into reliable tooling 
  • Make deliberate system design tradeoffs, including schema design, API contracts, storage choices, and scaling limits, and be able to explain the reasoning, not just deliver the result 

Required Qualifications

  • Strong, professional-level Python. You design clean interfaces and maintainable code, not just scripts that work once. 
  • Some C or C++. We develop and maintain an SDK, so you should be comfortable reading and writing lower-level code, not just scripting in Python. 
  • System design fundamentals. You can reason about data models, API design, scalability, and failure modes before writing code. 
  • Working DevOps knowledge. CI/CD, containerization, infra-as-code, monitoring/logging, and comfort owning a service once it's live. 
  • Experience building and maintaining backend services/APIs, REST or GraphQL, backed by a real database 
  • A track record of shipping tools other engineers actually use. You think about the person using your tool, not just the code behind it. 
  • Comfortable working across a broad stack, including backend, data pipeline, lightweight frontend, and SDK work, rather than staying in one lane 

Preferred 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, such as Streamlit, Dash, or Grafana 
  • Containerized deployments using Docker, Kubernetes, or ECS 

Benefits (subject to location and local regulations)

  • Competitive salary and equity 
  • Flexible vacation and time-off policy 
  • Collaborative, fast-paced, and inclusive work environment 
  • Opportunity to work on cutting-edge technologies with a highly cross-functional team 

Skills Required

  • Strong professional-level Python experience
  • Experience with C or C++
  • System design fundamentals, including data models, API design, scalability, and failure modes
  • Working DevOps knowledge, including CI/CD, containerization, infrastructure as code, monitoring, and logging
  • Experience building and maintaining backend services or APIs using REST or GraphQL with a database
  • Track record of shipping tools used by other engineers
  • Ability to work across backend, data pipelines, lightweight frontend, and SDK development
  • Hands-on AWS experience with Lambda, S3, API Gateway or CloudFront, ECS or 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 Streamlit, Dash, or Grafana
  • Containerized deployment experience using Docker, Kubernetes, or ECS
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The Company
87 Employees
Year Founded: 2021

What We Do

Lyte develops perception technology for robots and physical AI systems. Its LyteVision platform combines 4D sensing, RGB imaging, motion awareness, custom silicon, compute, and AI to provide unified spatial and visual data through a modular, plug-and-play system. The company serves robotics developers building autonomous systems for applications including industrial automation and last-mile delivery, helping machines perceive, understand, and operate safely in complex real-world environments.

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