Agtonomy
Senior/Staff Software Engineer, State Estimation
Agtonomy, San Francisco, California, United States, 94199
About Us
At Agtonomy, we’re not just building tech—we’re transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry‑leading equipment manufacturers, we’re creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight‑knit group of bold thinkers—engineers, innovators, and industry experts—who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.
About the Role You will be responsible for developing state estimation and localization algorithms to help our vehicles 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.
Research, prototype, and experiment with various sensors and state‑of‑the‑art state estimation algorithms.
Architect, design, and implement software applications, as well as on‑board and off‑board infrastructure and tools to support those applications.
Develop portable, scalable, and fast state measurement 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: factor graphs, Kalman filters, particle filters, structure from motion, visual inertial odometry, lidar odometry, etc.
Deep understanding of the design trade‑offs 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, Sophus, 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 trade‑offs when leveraging filters, pose‑graph optimization, etc.
Experience implementing custom factors for factor graph optimization.
Experience with state‑of‑the‑art visual odometry and/or lidar odometry algorithms.
Think/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.
Salary $170,000 - $240,000 a year
The US base salary range for this full‑time position is $170,000 to $240,000 + 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 (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 team!
Interview Process
Phone Screen with Hiring Manager (30 minutes)
Technical Evaluation in Domain (1 hour)
Software Engineering Evaluation (1 hour)
Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 60 minutes)
#J-18808-Ljbffr
About the Role You will be responsible for developing state estimation and localization algorithms to help our vehicles 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.
Research, prototype, and experiment with various sensors and state‑of‑the‑art state estimation algorithms.
Architect, design, and implement software applications, as well as on‑board and off‑board infrastructure and tools to support those applications.
Develop portable, scalable, and fast state measurement 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: factor graphs, Kalman filters, particle filters, structure from motion, visual inertial odometry, lidar odometry, etc.
Deep understanding of the design trade‑offs 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, Sophus, 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 trade‑offs when leveraging filters, pose‑graph optimization, etc.
Experience implementing custom factors for factor graph optimization.
Experience with state‑of‑the‑art visual odometry and/or lidar odometry algorithms.
Think/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.
Salary $170,000 - $240,000 a year
The US base salary range for this full‑time position is $170,000 to $240,000 + 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 (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 team!
Interview Process
Phone Screen with Hiring Manager (30 minutes)
Technical Evaluation in Domain (1 hour)
Software Engineering Evaluation (1 hour)
Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 60 minutes)
#J-18808-Ljbffr