Software Engineer (Planning)
Sabanto · Greater Chicago, IL
About The Role
Sabanto is a venture-backed, Illinois-based technology company on a mission to drive autonomy into agriculture.
We believe the agriculture industry’s lack of labor will drive the adoption of Farming-as-a-Service companies using autonomous equipment. It’s this very spirit that drives us to build a robotic machinery platform, delivering a service that brings unprecedented efficiency, productivity, and cost to farmers. Join our fast-growing, industrious, and passionate team of innovators as we continue to disrupt the multi-billion-dollar agriculture industry.
As a Full Stack Engineer at Sabanto, you will be building the web and api platform that powers the orchestration of vehicle configuration, data pipeline processing and the interfaces that our customers use day-to-day when operating their vehicles.
RESPONSIBILITIES & OUTCOMES
Maintain and extend the cloud path planning engine — coverage paths, headland generation, turn optimization, and safe traversals — for autonomous agricultural robots operating in the field
Diagnose and resolve issues seen by customers related to field coverage in complex, real-world field geometries (holes, waterways, irrigation systems)
Build and harden geospatial data pipelines that move field and equipment data through transformations, optimization, and output
Design, build, and operate Python-based AWS Lambda services across the platform, from spec through deployment
Write tested, hardened, and safe code — unit tests, integration tests against real field data, and visual validation before every change ships
Own the build and deployment lifecycle for serverless cloud services
QUALIFICATIONS
Bachelor’s in computer science or a related field
Strong quantitative, analytical, and problem-solving skills, with comfort reasoning about geometry and spatial data
An entrepreneurial attitude with a keen eye for detail
Organized, disciplined, and can manage multiple priorities simultaneously
Industrious – ideally can drive, or willing to learn to drive, tractors, and anything with four wheels
Ag-gnostic – can walk up to a farmer, talk the talk, walk the walk, i.e. not intimidated
DESIRED EXPERIENCE
Mastery of Python, including writing production-grade, well-tested services
Experience with geospatial and computational geometry libraries (Shapely, GeoPandas, PyProj, or similar)
3+ years building cloud-native services on Amazon Web Services (AWS) — including Lambda, DynamoDB, S3, API Gateway, and ECS
Experience working with Docker-based software and build pipelines
Familiarity with optimization techniques or operations research (e.g. OR-Tools, vehicle routing problems) a plus
Familiarity with robotics or vehicle kinematics (e.g. Dubins/Reeds-Shepp paths, turning-radius constraints) a plus
Familiarity with NodeJS/TypeScript and SQL/NoSQL database engines a plus, for cross-team collaboration
BENEFITS
At Sabanto, every member of our team moves the needle. With a firm footing in our core company values, we’ve built a fast-paced, demanding work culture that allows for the flexibility, autonomy, and career opportunities you’d expect from a growing company. We offer competitive benefits including:
Working on a concept that will forever disrupt the agriculture industry
The chance to make an immediate impact and do the best work of your life
Unlimited Vacation and flexible time
401k, medical, dental
OUR CORE VALUES
Own It - Be self-driven, entrepreneurial, and efficient
Raise the Bar - Challenge complacency and mediocrity; be adaptable and agile; details matter
Be As One - Trust, collaborate, and support; invest in co-workers and customers
Embrace Curiosity - Always be learning, be curious and share; be humbled but not embarrassed by mistakes
Do the Right Thing - Act with integrity, even when no one is looking; be transparent
Empower Farmers - Create solutions where customers, i.e. farmers, win
At Sabanto, we value diversity of culture and background for the benefit of our employees, our products, and our community. Sabanto is proud to be an equal opportunity workplace. This position is open to applicants who are legally authorized to work in the United States.
We are not able to sponsor work visas at this time.
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