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We are hiring Software Engineers to accelerate our mission. At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state-of-the-art technology solutions.\\n\\nUnlike traditional software engineering roles, we don't simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues... and ourselves!\\n\\nWhile there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without "getting our hands dirty" – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time.\\n\\nAs a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines.\\n\\nPast projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data).\\n\\nOur tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect.\\n\\nYour work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes.\\n\\nCollaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt.\\n\\nTogether we can shape the future of mineral exploration and contribute to building a sustainable world.\\n\\nThis role will be responsible for:\\n\\nDeep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists\\n\\nBuilding data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery\\n\\nDeveloping expertise in KoBold's Data Systems and deeply understanding how they impact exploration\\n\\nEnd-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions\\n\\nResponding well to design and code feedback, also providing feedback to teammates\\n\\nOperationally managing the team's services and assisting scientific colleagues with our tooling\\n\\nQualifications:\\n\\n4+ years of software engineering experience, ideally building production cloud data systems\\n\\nProficiency with Python\\n\\nAbility to write production-quality code that is correct, readable, well-tested, scalable and extensible\\n\\nSkilled in large-scale system design\\n\\nA track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner\\n\\nIntellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.\\n\\nEnjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.\\n\\nAbility to explain technical problems to and collaborate on solutions with domain experts who are not software developers.\\n\\nA strong communicator who enjoys working with colleagues across the company.\\n\\nExcitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.\\n\\nKeen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.\\n\\nNice to Haves:\\n\\nExperience with modern frontend frameworks such as React\\n\\nExperience with geospatial data and building map-based experiences\\n\\nFamiliarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc.\\n\\nFormal education or job exposure to natural sciences

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XML job scraping automation by YubHub

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Job Overview

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We are seeking a Full Stack Engineer Intern to work closely with our Software Engineering team to help design, build, and deploy software systems that power our autonomous surface vessels.

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As a Full Stack Engineer Intern, you will contribute to both user-facing applications and backend services that support mission planning, fleet management, and real-time data visualization.

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This is a hands-on role with real ownership. You will ship production-quality code and see your work directly impact deployed systems.

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Responsibilities

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Qualifications

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Physical Demands

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Additional Information

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This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

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In this role, you will build predictive models and apply scientific computing, statistical, and physics-based methods to find places with evidence of ore-forming processes and predict locations of ore-grade mineralization in 2D and 3D.

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You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions.

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You will create models and develop software to accelerate discovery of critical battery metals.

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You will join an outstanding team of data scientists and engineers and work closely with (*applicant's) world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits.

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As one of the early members of this team, you will help build these tools from the ground up.

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Responsibilities:

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Qualifications:

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Technical knowledge:

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Training and work experience:

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XML job scraping automation by YubHub

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Responsibilities:

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XML job scraping automation by YubHub

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About Cyngn

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

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We are looking for a Senior Software Engineer - Full Stack to join our team. As a key member of our engineering team, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles.

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Responsibilities

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Requirements

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Nice to Have

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Benefits & Perks

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About Cyngn

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

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We are a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters,and that's what powers our innovation.

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About this Role

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As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field.

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Responsibilities

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Who You Are

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Nice to Have

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XML job scraping automation by YubHub

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As a Research Scientist on the AnthroKrishi team, you will develop next-generation AI to address global challenges in food security and climate change. You will lead research that pushes the boundaries of computer vision and machine learning, with a direct path to impacting global agricultural systems.

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Key responsibilities include pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources, solving core AI problems by developing generalizable models that are robust across varied agricultural systems, leading research toward the grand challenge of field-level crop yield forecasting, designing and executing large-scale experiments, writing high-quality, reusable code, and contributing to a production-ready system.

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You will also mentor junior researchers, collaborate with cross-functional teams across Google, and publish your work at top-tier conferences.

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