Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We’re looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact.
About the Role
As part of the Software Services Team, you will be a key contributor in designing, developing, and optimizing the geospatial visualizations and underlying services that empower our customers to manage a fleet of vehicles and execute autonomous tasks on our tractors in an agricultural environment. This position will work closely with product and design, leading the technical implementation of new features and functionalities based on customer requirements and strategic initiatives.
The US base salary range for this full-time position is $160,000 to $190,000 + equity + benefits + unlimited PTO
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
What You'll Do
Lead the design and implementation of highly scalable, real-time map rendering systems and efficient data delivery pipelines, specifically engineered to handle large-scale geospatial datasets relevant to agricultural operations.
Architect and optimize high-performance solutions for high-volume, real-time geospatial data requests from our fleet of autonomous vehicles, ensuring ultra-low-latency data streams critical for navigation, operational feedback, and safety-critical functions.
Design, develop, and maintain robust, well-documented map APIs and SDKs that enable both internal development teams and external partners to seamlessly integrate, extend, and create new applications leveraging our mapping functionalities.
Develop, optimize, and implement complex geospatial algorithms for advanced routing (e.g., field-specific path planning), dynamic point-of-interest searching (e.g., specific crop areas, obstacles), and highly precise localization of vehicles in challenging and dynamic agricultural environments.
Champion and implement comprehensive testing strategies (unit, integration, and end-to-end) for all developed features, ensuring not only correct functionality and reliability but also strict data integrity and performance across both the presentation layer and the underlying geospatial logic
Act as a technical lead in collaborating with product designers, translating design mockups into intuitive, aesthetically pleasing, and highly functional map interfaces that provide a superior and efficient user experience for agricultural operators.
What You'll Bring
8+ years of professional experience designing, developing, and deploying production-ready web or mobile applications with rich data visualizations, with a significant focus on interactive mapping and geospatial data contexts.
Expert-level working experience with modern, high-performance mapping libraries and frameworks such as Mapbox GL JS, Deck.gl, Cesium JS, OpenLayers, or similar, demonstrating an understanding of their underlying architectures and optimization techniques.
Demonstrated expertise in architecting and building highly effective, scalable, and maintainable user interfaces and UI component libraries, ideally with experience in data-intensive and real-time visualization applications.
A strong and demonstrated desire to continuously learn new technologies, adapt to evolving architectural needs, and expand scope as needed in a fast-moving startup environment, taking significant ownership of challenging technical problems.
What Makes You a Strong Fit
A deep and practical understanding of advanced geospatial concepts, including various projections, coordinate systems, spatial reference systems, and efficient spatial data structures (e.g., GeoJSON, vector tiles, quadtrees/octrees), with experience in their application for real-world problems.
Exceptional knowledge of data structures, algorithms, and distributed system design principles, particularly as applied to building scalable, fault-tolerant, and performant geospatial software systems.
Significant hands-on experience with Flutter for cross-platform application development, demonstrating a strong understanding of its architecture and best practices for building performant and responsive UIs.
Extensive hands-on experience with modern web technologies, including React, state management libraries like MobX or Redux, and server-side rendering frameworks like Next.js, used in complex application development.
A genuine interest in robotics and a willingness to be a part of the transformation of a newly emerging industry of autonomous agricultural vehicles.
Bonus Points
Experience with WebGL/OpenGL for custom rendering solutions.
Familiarity with GIS software (e.g., QGIS, ArcGIS) and spatial databases (e.g., PostGIS).
Experience with real-time data streaming technologies (e.g., WebSockets, Kafka).
Contributions to open-source mapping projects.
Benefits:
• 100% covered medical, dental, and vision for the employee
• Commuter Benefits
• Flexible Spending Account (FSA)
• Life Insurance
• Short- and Long-Term Disability
• 401k Plan
• Stock Options
Our interview process is generally conducted in five (5) phases:
Phone Screen with People Operations (30 minutes)
Video Interview with the Hiring Manager (45 minutes)
Software Development Evaluation (1 hour with an engineer)
Panel Interview (Video interviews scheduled with key stakeholders; each interview will be 30 to 60 minutes)
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