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Home›Jobs›Agtonomy›Senior/Staff Software Engineer, State Estimation
Agtonomy

About Agtonomy

Empowering farmers with affordable autonomous technology

👥 21-100 employees📍 SoMa, San Francisco, CA💰 $73m
B2BSustainabilityManufacturingElectric VehiclesAgricultureSaaSAutomation

Key Highlights

  • Raised $73 million in Series A funding
  • Headquartered in SoMa, San Francisco, CA
  • Offers autonomous solutions for local farmers
  • Customer pilot program expanded in 2023

Agtonomy is revolutionizing the agriculture sector with its autonomy and tele-assist platform designed for agricultural vehicles. Based in SoMa, San Francisco, Agtonomy focuses on transforming tractors and equipment into autonomous machines, catering primarily to local farmers. The company has raise...

🎁 Benefits

Agtonomy offers 100% coverage for medical, dental, and vision insurance for employees, along with commuter benefits, a Flexible Spending Account (FSA)...

🌟 Culture

Agtonomy prioritizes the needs of local farmers, providing affordable autonomous solutions that cost around $50,000, significantly lower than typical ...

🌐 WebsiteAll 13 jobs →
Agtonomy

Senior/Staff Software Engineer, State Estimation

Agtonomy • South San Francisco, CA

Posted 16h ago🏛️ On-SiteSeniorLeadSoftware engineering📍 South san francisco💰 $170,000 - $240,000 / year
Apply Now →

Skills & Technologies

PythonC++Machine learning

Overview

Agtonomy is seeking a Senior/Staff Software Engineer to develop state estimation and localization algorithms for autonomous vehicles. You'll work closely with perception, planning, and controls engineers, utilizing skills in Python and C++. This role requires a strong background in software engineering and mathematics.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in developing algorithms for state estimation and localization. Your strong mathematical background allows you to tackle complex problems in autonomous systems, and you are excited about applying your skills to real-world challenges in agriculture and heavy machinery. You thrive in collaborative environments, working closely with cross-functional teams to design and implement innovative solutions. Your experience with programming languages such as Python and C++ enables you to contribute effectively to the development of intelligent systems. You are passionate about transforming industries through technology and are eager to be part of a team that is shaping the future of autonomous vehicles.

Desirable

Experience with robotics or autonomous systems is a plus, as is familiarity with perception and planning algorithms. You have a keen interest in applying your technical skills to improve the efficiency and effectiveness of agricultural operations. A background in machine learning or AI would be beneficial, as you will be working on cutting-edge technologies that require advanced analytical skills.

What you'll do

In this role, you will be responsible for developing state estimation and localization algorithms that enhance the accuracy of our autonomous vehicles. You will collaborate closely with perception, planning, and controls engineers to design and evolve the outputs of the pose and localization systems. Your work will directly impact how our vehicles navigate and operate in rugged agricultural environments, ensuring they can perform tasks efficiently and safely. You will engage in hands-on coding, algorithm development, and testing, contributing to the overall success of our autonomous systems. Additionally, you will participate in team discussions, sharing insights and ideas to drive innovation and improve our technology.

What we offer

At Agtonomy, we foster a culture of collaboration and innovation, where your ideas can make a real difference. You will be part of a tight-knit team of engineers and industry experts who are passionate about transforming how vital industries operate. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in shaping the future of autonomous systems and making a positive impact on the agricultural industry.

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