3 days ago
Chicago, IL, USAMid Level
Responsibilities
- Maintain and extend the cloud path-planning engine for autonomous agricultural robots.
- Diagnose and resolve customer issues involving field coverage and complex real-world field geometries.
- Build and harden geospatial data pipelines for field and equipment data transformations, optimization, and output.
- Design, build, test, deploy, and operate Python-based AWS Lambda services.
- Own the build and deployment lifecycle for serverless cloud services.
- Perform unit testing, integration testing against real field data, and visual validation before releases.
Requirements
- Bachelor’s degree in computer science or a related field.
- Mastery of Python and experience writing production-grade, well-tested services.
- At least 3 years of experience building cloud-native services on Amazon Web Services, including Lambda, DynamoDB, S3, API Gateway, and ECS.
- Strong quantitative, analytical, problem-solving, geometry, and spatial-data reasoning skills.
- Experience with geospatial and computational geometry libraries such as Shapely, GeoPandas, or PyProj.
- Experience working with Docker-based software and build pipelines.
- Familiarity with optimization techniques, operations research, robotics, vehicle kinematics, Node.js, TypeScript, and SQL/NoSQL database engines is preferred.
- Ability to manage multiple priorities, work entrepreneurially, and communicate effectively with customers and farmers.
Benefits
- Flexible time and unlimited vacation.
- 401k, medical, and dental benefits.
- Opportunity to work on agricultural autonomy technology and make an immediate impact.
- Applicants must be legally authorized to work in the United States; the employer cannot sponsor work visas at this time.
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