Salary Range: 160000 to 220000 (Currency: USD) (Pay period: per-year-salary)
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 Robotics Generalist on the Autonomy Team, you will be responsible for developing algorithms for all different parts of the autonomy stack and further enabling our existing fleet of automated tractors as well as future platforms. You will work closely with the rest of the Autonomy Team, as well as embedded and app engineers, to add and refine features that take our tractors to the next level. This role is perfect for someone who loves combining math and software, is a systems-level problem solver who approaches challenges with first principle thinking, and is excited about applying their experience to make robots drive in smart ways in rugged, agricultural environments.
What You’ll Do
- Contributing to the architecture of the autonomy system to make it scalable, robust, and safe.
- Creating robust online and offline sensor calibration routines that perform reliably in complex and unpredictable environments.
- Building systems that enable the autonomy stack to scale better as we prepare to dramatically increase the size of our fleet (e.g. scalable calibration workflows, efficient log offload pipelines, etc.).
- Developing and implementing autonomy performance metrics to help the team continue to achieve its goals in a quantitative way.
- Adding new features to the autonomy state machine and navigation layers to enable the tractors to perform new types of work for our customers.
- 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
- Experience architecting and building software stacks for mobile robotic platforms.
- Experience implementing calibration routines for the typical sensors that support autonomy (e.g. cameras, LIDARs, IMUs, etc.)
- 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 robotics systems from scratch and a deep understanding of the design tradeoffs when leveraging various algorithms for wheeled autonomous robots.
- Experience writing software for real-time and/or safety-critical systems.
- 3+ years of software development experience in autonomy, robotics, 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)
