Software Engineer, Motion Planning and Trajectory Optimization en Agtonomy
Agtonomy · South San Francisco, Estados Unidos De América · Hybrid
- Senior
- Oficina en South San Francisco
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
As an engineer on the Autonomy Team, you will develop algorithms that enable our vehicles to plan safe trajectories around dynamic and static obstacles while meeting task objectives. You will work on creative solutions for the generation of local motion plans and optimal trajectories through semi-structured farms and other properties. You will work closely with perception, localization, and controls engineers on the team to design and evolve the upstream and downstream interfaces of the planning system. This role is perfect for someone who loves combining math and software, and is excited about applying their experience to make robots drive in intelligent ways in rugged environments.
About UsAt 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 RoleAs an engineer on the Autonomy Team, you will develop algorithms that enable our vehicles to plan safe trajectories around dynamic and static obstacles while meeting task objectives. You will work on creative solutions for the generation of local motion plans and optimal trajectories through semi-structured farms and other properties. You will work closely with perception, localization, and controls engineers on the team to design and evolve the upstream and downstream interfaces of the planning system. This role is perfect for someone who loves combining math and software, and is excited about applying their experience to make robots drive in intelligent ways in rugged environments.
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.
What you’ll be doing
What you’ll bring
What makes you a strong fit
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!
Our interview process is generally conducted in five (5) phases:
1. Phone Screen with Hiring Manager (30 minutes)
2. Technical Evaluation in Domain (1 hour)
3. Software Engineering Evaluation (1 hour)
4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 60 minutes)
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