As a Recruiter specializing in engineering roles, you'll manage the recruitment process from sourcing candidates to onboarding, focusing on technical roles such as software engineering and data science. You'll partner with hiring managers, optimize the candidate experience, and stay updated with industry trends while building talent pipelines.

The Geospatial Software Engineer will develop automated data processing pipelines for scientific data products using thermal infrared imagery. Responsibilities include optimizing image processing, collaborating on functionality implementation, ensuring product accuracy, and troubleshooting technical anomalies. The role focuses on impactful applications related to agriculture, climate, and public safety.

The Senior Software Engineer will design and build scalable web and mobile applications, develop software solutions using thermal imagery, and lead projects through the software development lifecycle. Key responsibilities include mentorship, code reviews, and collaboration on backend services and SPAs.

As a Cloud Data Engineer, you will manage cloud infrastructure, optimize and maintain data pipelines, lead technical discussions, and mentor team members. Your role includes establishing CI/CD pipelines and implementing machine learning processes in collaboration with various teams, aiming to enhance data processing capabilities.

As a Staff Data Engineer at Hydrosat, you'll design and implement high-quality data pipelines and lead technical decisions. You'll mentor other engineers, optimize data solutions, and collaborate with cross-functional teams to enhance data-driven decision-making for innovative applications in agriculture.

The Marketing & Communications Coordinator at Hydrosat will develop and execute marketing campaigns, maintain brand consistency, manage events and trade shows, oversee social media and content strategy, and coordinate partner marketing initiatives to enhance the company’s presence in the climate tech sector.

As a Data Science Manager at Hydrosat, you will lead a team of data scientists to develop scientific models using advanced data science techniques, mentor team members, drive innovation, ensure high quality of work, and facilitate communication both within your team and with other departments. You'll also participate in recruitment and performance evaluations.

The Senior Product Manager will lead Hydrosat’s digital agriculture platform, managing product development and backlog, conducting product discovery, and enhancing user experience through collaboration with various teams while monitoring product success metrics.

The Machine Learning Scientist will conduct research in machine learning to develop models for interpreting satellite imagery. Responsibilities include designing algorithms, extracting insights for agriculture, working with high-performance computing, collaborating with software teams, and mitigating project risks.

The Agricultural Remote Sensing Scientist will develop algorithms for irrigation management and crop stress detection using remote sensing data. Responsibilities include analyzing field data, designing models to assess water consumption, and coordinating real-world field experiments to validate these algorithms.