Sr. Software Engineer, Cloud Infrastructure

• Partner with Engineering teams to build and scale cloud and on-prem infrastructure software to support our revolutionary Laser Weeding solution and future products.
• Quickly build and troubleshoot applications and tooling to support a dynamic and continuous machine learning model training pipeline with ownership and collaboration.
• Build systems that support all cloud services, including services providing remote monitoring and visibility to our global fleet of Robots.
• Drive decisions through project planning, task delegation, and leading problem-solving efforts to iterate quickly.

This role contributes to building AI and robotics products that eliminate weeds without herbicides, reducing environmental impact, promoting soil health, and helping farmers address labor shortages and rising costs, thereby advancing sustainable farming practices.

• 5+ years of experience as a Software Engineer building and implementing Cloud Infrastructure.
• Solid Kubernetes and container orchestration experience, along with Terraform, Ansible, or similar provisioning tools.
• AWS or similar cloud provider experience required, with proficiency in relational and non-relational databases, Go or Python programming, and web services (REST/GRPC).
• BS+ in Computer Science, Computer Engineering, or related field, with effective communication skills and a desire to work in multidisciplinary teams.

• Competitive salaries with a base pay range of $180,000—$200,000 USD, plus pre-IPO stock options and On Target Earning commissions for appropriate positions.
• Generous benefits including fully-paid medical, dental, and vision insurance for you and all dependents, mental health HRA, life insurance, flexible PTO, 401(k) plan, pet insurance, and commuter benefits.
• Inclusive and tight-knit company culture that values innovation and mission-driven success, with a commitment to diversity, inclusion, and equal employment opportunity.

Carbon Robotics develops the LaserWeeder™, an advanced robotics solution using computer vision, AI, and lasers to eliminate weeds without herbicides, reducing environmental impact and helping farmers. The company is driving innovation in the Ag-Tech industry with significant funding and a mission to build the future of farming.