Senior Software Engineer, ML Infrastructure in South San Francisco

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob Description 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

We are seeking an experienced software engineer to join our team and help scale our ML platform. In this role, you will be responsible for designing, implementing, and maintaining large-scale ML infrastructure to accelerate model iteration and improve training performance across an expanding GPU ecosystem. You’ll work hand-in-hand with our ML and cloud infrastructure teams to solve novel problems, from curating sensor datasets to deploying models that make tractors think like seasoned farmers.What you'll be doing

• Architect and build distributed training pipelines that scale to handle petabytes of real-world data from farms, fields, and other rugged environments.
• Own the ML lifecycle : curate, label, and visualize massive datasets from cameras, LiDAR, and radar to train world-class models.
• Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.
• Create tools to visualize predictions and identify failure cases.
• Partner with autonomy, platform and cloud engineers to shape models that run flawlessly on real machines in harsh environments.

What you'll bring

What makes you a strong fit

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

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)

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.