Senior/Staff Software Engineer - State Estimation
AgtonomySouth San Francisco, CA
On-site Full-time
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Experience Level
Senior
Qualifications
Qualifications:Strong background in algorithms and software development, particularly in localization and state estimation. Experience in robotics, computer vision, or related fields. Proficiency in programming languages such as C++ and Python. Ability to work collaboratively in a team-oriented environment and communicate effectively. Problem-solving mindset with a passion for innovation.
About Us
At Agtonomy, we're revolutionizing technology in critical industries. Our cutting-edge Physical AI and fleet services transform heavy machinery into intelligent, autonomous systems, addressing the most pressing challenges in agriculture and turf management. By collaborating with top equipment manufacturers, we are paving the way for a future free of labor shortages, environmental challenges, and inefficiencies. Our close-knit team of bold innovators, engineers, and industry experts thrives on turning ambitious ideas into reality. If you’re eager to contribute to the evolution of impactful industries, this is your opportunity.
About the Role
As a Senior/Staff Software Engineer specializing in State Estimation, you will be instrumental in developing advanced algorithms for state estimation and localization, enabling our vehicles to accurately assess their position within local and global contexts. You will collaborate with perception, planning, and control engineers to refine and enhance our pose and localization systems, ensuring they effectively meet user needs. This role is ideal for individuals who are passionate about merging mathematics with software development, and who are enthusiastic about leveraging their expertise to enable robots to navigate intelligently in challenging agricultural environments.
About Agtonomy
Agtonomy is at the forefront of technological innovation, reshaping critical industries with our advanced Physical AI systems. Our mission is to enhance productivity and sustainability in sectors like agriculture by converting traditional heavy machinery into intelligent autonomous solutions. Join us in creating a future where industry challenges are efficiently addressed.
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