Software Engineer, Controls

Posted:
7/26/2024, 7:10:58 AM

Location(s):
South San Francisco, California, United States ⋅ California, United States

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Software Engineering

Workplace Type:
Hybrid

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 Controls Engineer on the Autonomy Team, you will be responsible for developing controls algorithms for our existing fleet of automated tractors as well as for future platforms. You will work closely with planning and localization engineers on the team to design and evolve the upstream interfaces of the control systems. You will also work closely with the embedded, hardware, and testing teams to safely and reliably validate the control of the various actuators on our platforms. 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.
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)