Software Engineer, Gecko Robotics

• You’re a builder who likes owning problems end to end—from understanding customer needs to shipping and maintaining production systems. You’re comfortable crossing boundaries between software engineering, ML, and backend work, and you’re energized by fast feedback loops and real-world impact
• You prefer pragmatic solutions over perfect ones, communicate clearly with technical and non-technical stakeholders, and enjoy helping shape both the product and the engineering culture
• 7+ years of experience in software engineering, backend engineering, or adjacent roles
• Strong Python skills, proficient with ML packages and distributed backends
• Experience building production data pipelines and systems from scratch
• Comfort working with both structured and unstructured data
• Experience operating systems in production and owning reliability
• Ability to work directly with customers or end users to understand requirements
• Strong problem-solving skills in ambiguous, fast-moving environments

Desirable

• As an AI Focused Software Engineer, you will build and evolve the data backbone of an agentic AI system leveraging document intelligence, time-series IoT data, and customer activity logs. This is a highly hands-on, end-to-end role for someone who thrives in early-stage ambiguity, is comfortable working close to models and customers, and wants to directly shape how data-driven agents are built and deployed for production
• This role will initially focus on the power industry, where your work will directly support the reliable operation of power plants used by millions of people every day
• You will design, implement, and agentic systems across the full lifecycle, from data ingestion and processing to building and tuning models for use by customers in the real world
• You’ll work directly with customers and internal stakeholders to understand real problems, translate them into technical solutions, and iterate quickly
• You’ll build agentic workflows, document processing pipelines, and sensor data ingestion
• You’ll contribute to feature engineering and model experimentation when needed, and own systems in production
• You’ll make pragmatic architectural decisions, improve reliability over time, and help define best practices as the team and product scale