Software Engineer, Localization

Agtonomy; San Francisco (CA); On-site; USD 160,000 - 220,000; Full time

Job summary

Join a pioneering company in agricultural automation as a Localization Engineer. This role involves developing advanced algorithms to enhance the accuracy of pose estimation for autonomous tractors. Collaborate with a dynamic team of engineers to design and implement innovative solutions that address real-world challenges in agriculture. If you are passionate about robotics and eager to apply your expertise in a hands-on environment, this is the perfect opportunity for you. Contribute to sustainable agriculture while working in a collaborative and mission-driven atmosphere.

Benefits

100% covered medical, dental, and vision

Commuter Benefits

Flexible Spending Account (FSA)

Life Insurance

Short- and Long-Term Disability

401k Plan

Stock Options

Unlimited PTO

Collaborative work environment

Qualifications

• 5+ years of software development experience in autonomy or robotics.
• Experience deploying state estimation algorithms in real robots.

Responsibilities

• Implement features to enhance pose estimation stability and reliability.
• Research and prototype various sensors and state estimation algorithms.

Skills

State Estimation Algorithms

Kalman Filters

C++ Programming

Analytical Skills

Communication Skills

Education

MS in Robotics

PhD in Computer Science

Bachelor in Electrical Engineering

Tools

Eigen

Ceres

GTSAM

Job description

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 Localization Engineer on the Autonomy Team, you will be responsible for developing state estimation algorithms to help our tractors more accurately estimate their pose with respect to the local and global frames. You will work closely with perception, planning, and controls engineers on the team to design and evolve the outputs of the pose and localization systems to better serve their consumers. 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

• Implement new features to improve the stability and reliability of our local and global pose estimates.
• Design mitigation and fallback strategies for the pose estimation systems.
• Create robust online and offline sensor calibration routines that perform reliably in complex and unpredictable environments.
• Research, prototype, and experiment with various sensors and state-of-the-art state estimation algorithms.
• Architect, design, and implement software applications, as well as onboard and offboard infrastructure and tools to support those applications.
• Develop portable, scalable, and fast geometry and optimization libraries.
• Write performant, well-tested software, and improve code quality of the entire Autonomy team through code and design reviews.
• Validate your solutions on real vehicles in real-world scenarios.

What You'll Bring

• Demonstrated experience deploying state estimation algorithms in real robots: Kalman filters, particle filters, structure from motion, visual inertial odometry, etc.
• Deep understanding of the design tradeoffs involved when fusing various sensing technologies: cameras (mono and stereo), LiDAR, RADAR, GNSS, IMUs, wheel encoders, etc.
• Experience implementing state estimation math effectively in software with the following libraries: Eigen, Ceres, GTSAM, 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 state estimation systems from scratch and understanding the design tradeoffs when leveraging filters, pose graph optimization, etc.
• Experience with state-of-the-art visual and/or lidar odometry algorithms.
• Experience implementing custom factors for factor graph optimization.
• Thinks/dreams in Lie algebra.
• 5+ years of software development experience in autonomy, robotics, or a related field.
• MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Passion for sustainable agriculture and electric vehicles.

Salary and Benefits

The US base salary range for this full-time position is $160,000 to $220,000 + equity + benefits + unlimited PTO. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.

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!

Interview Process:

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 and CFO - 30 minutes each)