Perception Engineer

About Monarch:

At Monarch, we’re leading the digital transformation of farming.  We’re ambitious, yet grounded in the real problems and opportunities in agriculture and we can solve them with game-changing tech.  Tractors originally replaced livestock, but today we need them to replace people.  Our tractor is a fully-loaded hardware, software and service machine which will spur future generations of farming technologies.  

We're different from other agriculture robotics companies because we’ve been selling and working in the agriculture market for years and we know how important the tractor is to the farming ecosystem.  With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions, while integrating the best technologies in the market onto our tractor platform.  In spite of all the bleeding-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class.  We have all the necessary ingredients to develop, build and scale the Monarch and digitally transform farming around the world. 

About the role:

While autonomous driving may have significant challenges from unpredictable edge cases, in farming, mobility is just part of what needs to be done to farm successfully.  We have a new set of challenges and obstacles for you to confront.  We’re looking for someone who becomes energized by new challenges and desires tangible industry transformation, unmitigated by significant safety concerns due to high speed travel.  

The perception engineer will be an integral member of our autonomy team.  He/she will have outstanding teamwork qualities and have demonstrated capability in building perception capabilities for a mobile robotic platform of any kind.  The perception engineer will have experience working through a number of different sensors, including vision/camera, radar, ultrasonic and possibly lidar.  He/she will work hand-in-hand with the software infrastructure development team so that the platform ecosystem will link successfully with the autonomy team.  The ideal candidate will ideally have at least 2 years of hands-on experience in developing perception systems in self-driving car programs, non-automotive outdoor robotics or industrial automation heavily engaged in software development and deployment at a production level.  


  • Bachelor's degree in computer science or robotics
  • 2+ years of autonomous driving or robotics development work
  • Ability to work cross-functionally with a number of different departments and engineering disciplines
  • Experience working with vision systems, radar and ultrasonic sensors
  • Experience with creating sensor fusion algorithms
  • Ability to benchmark algorithms based on speed, accuracy and robustness
  • Experience working with cloud architecture
  • C++ and Python proficiency
  • A burning desire to create something awesome

What you’ll get:

At Monarch Tractors, you’ll play a key role on a capable, dedicated, high-performing team of rock stars.  Our compensation package includes a competitive salary, excellent health, dental and vision benefits and company equity commensurate with the role you’ll play in our success.  The role will be based in the San Francisco bay area.

In addition to building outstanding products, we’re building an outstanding company with culture to match.  Part of what we do is being in our element, which is being in the field.  We will be spending lots of time in Napa--perfecting our craft, mastering our environment, building our team camaraderie, and also taking time to enjoy the fruits of our labor. 

At Monarch, we cherish and celebrate every individual's difference. We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status.


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