LY
Lyte AISoftware Engineer – Platform & Tools team
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Before you apply
LocationBucharest, Romania
Typefull-time
SenioritySenior
DepartmentSystem & Hardware Engineering
EquityIncluded
Company size201–500 people
First seenOct 16, 2026 · 2w ago
Verified live8h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
C
C++
GraphQL
REST
AWS
Lambda
S3
API Gateway
CloudFront
ECS
EKS
CloudWatch
IAM
Terraform
CloudFormation
CDK
Streamlit
Dash
Grafana
Docker
Kubernetes
Benefits
Competitive salary
Equity
Flexible vacation
Collaborative environment
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
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Collect and structure data coming off test stations, and get it flowing reliably into shared storage and downstream pipelines
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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
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Design, deploy, and operate AWS-based pipelines, from ingestion through processing to reporting
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Own your systems end to end: architecture, implementation, deployment, monitoring, and triage when something breaks
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Partner directly with hardware, firmware, and manufacturing engineers to turn loosely specified needs into reliable tooling
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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
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
About the company
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!