Autonomy Planning Software Engineer for Agriculture

Sabanto Inc.

Chicago (IL)

On-site

USD 110,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Unlimited Vacation
401k
Medical
Dental

Job summary

Sabanto is seeking a Full Stack Engineer to build the web and API platform that powers vehicle configuration, data pipelines, and farmer-facing interfaces for autonomous agricultural robots. You will work on the cloud path planning engine, geospatial data processing, and serverless services using Python, AWS, and modern web technologies.

The role emphasizes production-grade code, testing, and collaboration with cross-functional teams to deliver reliable field operations.

Qualifications

  • Bachelor's in computer science or related field.
  • Strong quantitative, analytical, and problem-solving skills, with comfort reasoning about geometry and spatial data.
  • Entrepreneurial attitude with keen eye for detail.
  • Organized, disciplined, and can manage multiple priorities.

Responsibilities

  • Maintain and extend cloud path planning engine for autonomous agricultural robots.
  • Diagnose and resolve field coverage issues in complex geometries.
  • Build and harden geospatial data pipelines for data transformations and optimization.
  • Design, build, and operate Python-based AWS Lambda services across the platform.
  • Write tested, hardened, and safe code with unit/integration tests.
  • Own the build and deployment lifecycle for serverless cloud services.

Skills

Python
Geospatial libraries
AWS
Docker
NodeJS/TypeScript
SQL/NoSQL

Education

Bachelor's in Computer Science

Tools

AWS Lambda
DynamoDB
S3
API Gateway
ECS
GeoPandas/Shapely

Job description

Sabanto is seeking a Full Stack Engineer to build the web and API platform that powers vehicle configuration, data pipelines, and farmer-facing interfaces for autonomous agricultural robots. You will work on the cloud path planning engine, geospatial data processing, and serverless services using Python, AWS, and modern web technologies.

The role emphasizes production-grade code, testing, and collaboration with cross-functional teams to deliver reliable field operations.

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