Search the 12 jobs at Agtonomy

You will enhance the efficiency of autonomy solutions by developing automation scripts, ensuring seamless over-the-air software deployment, calibrating sensors, and creating debugging tools. You will also maintain build, deploy, and test workflows while contributing to cloud infrastructure for tools and services.

Design and develop high-performance software frameworks for autonomous systems, interact with advanced sensors, optimize software performance, and collaborate with cross-functional teams to enhance technology.

You will develop end-user applications for autonomous farming vehicles, architect software components, integrate with APIs, write tests, and collaborate with the team to implement new features based on customer needs.

As a Senior Software Engineer in Cloud Infrastructure, you will design and optimize scalable cloud services for vehicle fleet management. Responsibilities include managing CI/CD pipelines, cloud infrastructure architecture, cost planning, and security, while working collaboratively with engineering teams and enhancing service offerings.

In this role, you will design and develop APIs for user applications in agriculture, write maintainable code, mentor junior engineers, and collaborate with other teams. You'll take ownership of projects, ensure timely delivery, and build scalable web services using various technologies like Node.js and AWS.

The Farming Services Associate will support farming operations, manage field trials, assist with customer onboarding, guide best practices, and provide technical support. Responsibilities include training, logistics coordination, conducting site surveys, and collaborating across teams to improve efficiency and promote safety measures.

The Farming Services Associate will manage field trials for autonomous agricultural vehicles, assist with customer onboarding and training, and provide technical support. This role requires collaboration with customers and engineering teams to refine products and capture learnings to improve trial efficiency.

You will develop algorithms for the autonomy stack, enhancing the capabilities of automated tractors and addressing challenges in agricultural settings. Responsibilities include system architecture, sensor calibration, implementing autonomy metrics, and writing efficient, well-tested software.

As a Planning Engineer, you will develop algorithms for safe vehicle navigation around obstacles, focusing on route generation in agricultural environments. Responsibilities include enhancing planning and routing stacks, predicting dynamic obstacle behavior, and architecting software applications for robotics. You will collaborate closely with a team, ensuring high-quality software through testing and code reviews.

As a Perception / Machine Learning Engineer, you will apply advanced ML techniques to enhance the perception capabilities of autonomous tractors. Your role includes architecting deep learning models, optimizing them for low-latency on embedded systems, and collaborating with cross-functional teams to ensure effective deployment in rugged agricultural environments.

As a Controls Engineer on the Autonomy Team, you'll develop control algorithms for automated tractors, working on vehicle control, system identification, and optimization. You'll validate control systems through simulation and real-world testing, and improve software quality. This role requires collaboration with planning and localization engineers to enhance control interfaces.

As a Localization Engineer, you will develop state estimation algorithms for tractor localization, working closely with perception and planning teams. Responsibilities include feature implementation, designing fallback strategies, creating calibration routines, researching sensors, and writing well-tested software. Your work will involve validating solutions on actual vehicles in the field.