Senior Software Engineer, Agtonomy

• A Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, plus at least 3 years of experience building systems that matter
• Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform)
• Hands-on experience with data pipelines, ETL processes, and distributed computing in cloud environments (AWS, GCP, or similar)
• A knack for thriving in a fast-paced, collaborative startup where you’ll own big problems and deliver bigger solutions

Desirable

• 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
• 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

• 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)