About Us
Agtonomy is pioneering advanced automation and AI solutions to transform agriculture and beyond. Initially focused on specialty crops, our TeleFarmer™ platform addresses labor-intensive needs with automation, turning conventional equipment into autonomous machines. By partnering with leading manufacturers like Doosan Bobcat, we integrate smart technology into tractors and other machinery, enhancing safety and efficiency. As we expand into ground maintenance and other industrial applications, our expert team continues to address key challenges with labor shortages, sustainability and profitability across various industries.
About the Role
As a Planning Engineer on the Autonomy Team, you will develop algorithms that enable our vehicles to plan safe trajectories around dynamic and static obstacles. You will work on creative solutions for the generation of feasible routes through semi-structured farms and other properties. You will work closely with perception, localization, and controls engineers on the team to design and evolve the upstream and downstream interfaces of the planning system. This role is perfect for someone who loves combining math and software, and is excited about applying their experience to make robots drive in smart ways in rugged, agricultural environments.
What You'll Do
- Designing and implementing new features for our planning stack to enable vehicles to plan their way through challenging situations safely and intelligently.
- Adding new capabilities to our routing stack to better explore semi-structured space and compute feasible routes.
- Predicting the behavior of dynamic obstacles in the environment to improve overall vehicle driving performance and safety.
- Architecting, designing, and implementing software applications, as well as onboard and offboard infrastructure and tools to support those applications.
- Developing portable, scalable, and fast geometry and optimization libraries.
- Writing performant, well-tested software, and improving code quality of the entire Autonomy team through code and design reviews.
What You'll Bring
- Deep understanding and experience implementing various planning techniques (sampling methods, graph search, and trajectory optimization, etc.).
- Experience effectively implementing math (geometry, linear algebra, etc.) in software in order to solve problems related to geometric reasoning, optimization costs/jacobians, and vehicle motion modeling.
- Strong proficiency in modern C++ and experience writing efficient algorithms for resource-constrained embedded systems.
- Ability to thrive in a fast-moving, collaborative, small team environment with lots of ownership.
- Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders outside of Autonomy.
- An eagerness to get your hands dirty by testing your code on real robots at real customer farms (gives “field testing” a whole new meaning!).
What Makes You a Strong Fit
- Experience architecting routing and/or motion planning systems from scratch.
- Excitement to implement computational geometry algorithms.
- 5+ years of software development experience in autonomy, robotics, or a related field.
- MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
- Passion for sustainable agriculture and electric vehicles.
Benefits:
• 100% covered medical, dental, and vision for the employee (cost plus partner, children, or
family is additional)
• Commuter Benefits
• Flexible Spending Account (FSA)
• Life Insurance
• Short- and Long-Term Disability
• 401k Plan
• Stock Options
• Collaborative work environment working alongside passionate mission-driven folks!
Our interview process is generally conducted in five (5) phases:
1. Phone Screen with People Operations (30 minutes)
2. Video Interview with the Hiring Manager (45 minutes)
3. Coding Challenge and Technical Challenge (1 hour with an Autonomy Engineer)
4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 45 minutes)
5. Final Interviews (CEO, CFO, VP of Engineering, 30 minutes each)
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Last updated on Jul 26, 2024