Near Space Labs

πŸ‘₯ 11-50πŸ’° over 2 years agoGeospatialComputer VisionAerospaceRoboticsSoftwareπŸ’Ό Private Company
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Near Space Labs revolutionizes aerial imagery and earth observation, providing high-resolution, high-frequency images from the stratosphere using our fleet of autonomous Swifty robots. We offer affordable, readily accessible cloud-based imagery through a seamless API, serving diverse sectors including insurance, utilities, and conservation. Our unique value proposition lies in delivering timely, wide-scale data at an unparalleled resolution and frequency. This enables clients to make informed decisions with current, precise data. We are a fast-growing company with a proven track record of innovation in aerial imagery and earth observation, having secured significant funding. Our engineering team leverages a robust tech stack including Python, Istio, Nginx, Google Cloud, and Styled Components to develop and deliver our cutting-edge solutions. We foster a collaborative and innovative culture, embracing remote work opportunities for our talented international team, committed to solving challenging real-world problems. Our dedication to excellence is reflected in our award-winning technology and our commitment to providing frictionless, accessible imagery solutions for our clients. We are a venture-backed company experiencing rapid growth and actively seeking talented individuals to join our dynamic team. We value a diverse and inclusive work environment and are committed to offering equal employment opportunities to all qualified applicants, regardless of background or experience. As a remote-first organization, we welcome applications from individuals worldwide, specifically targeting Spanish-based candidates for certain roles. Our focus is on building and scaling a unique technology and organization, offering an exciting opportunity to contribute meaningfully to our success. Near Space Labs operates with transparency and open communication; we are a highly collaborative team continuously striving for improvement. We encourage a culture of continuous learning and development, providing a supportive environment for individuals to excel and contribute meaningfully to our shared success. We are consistently seeking individuals eager to challenge themselves, learn and grow within our highly-dynamic work environment.

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πŸ“ United States

🧭 Full-Time

πŸ’Έ 130000.0 - 180000.0 USD per year

πŸ” Aerospace

  • Grown a multi-state/national/remote operations team inclusive of an hourly workforce.
  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
  • Ability to travel within the U.S. and abroad.
  • Bachelor's degree in STEM, Business, or a related field, demonstrating a strong educational background or significant on-job experience.
  • Exceptional leadership, organizational, team-building, and people management skills.
  • Proven experience growing and managing a large-scale nationwide operation with an hourly workforce.
  • Strong operational leadership experience, ideally in a high-growth environment.
  • Ability to understand and oversee highly technical systems and apply that knowledge to mission control and field operations.
  • Experience interacting with federal agencies (FAA preferred) or working within a regulated environment.
  • Ability to scale teams quickly, ensuring the right hiring and operational processes are in place.
  • Strong problem-solving skills and the ability to handle issues in real-time.
  • Excellent strategic thinking, leadership, and communication skills.
  • Scale a nationwide operation built of both salary and hourly workforce, ensuring structured and efficient hiring processes.
  • Build and refine the operational framework necessary to sustain rapid expansion while maintaining quality and compliance.
  • Work directly with the Senior Director of Stratospheric Operations to shape organizational strategy and long-term growth plans.
  • Assist in the development of policies, procedures, and programs to maintain operational standards and improve processes across the organization.
  • Oversee Mission Control and Field Operations, ensuring smooth and efficient execution of high-altitude data collection.
  • Act as the primary problem solver for operational challenges, providing support for day-to-day operations.
  • Work cross-functionally with engineering, regulatory, and flight operations teams to ensure mission success.
  • Implement performance metrics and accountability systems for operational efficiency.
  • Develop and analyze confidential reports and managerial studies to present recommendations to senior leadership, driving informed decision-making.
  • Develop a strong understanding of Swifty technology and its operational requirements.
  • Ensure that Mission Control operations align with regulatory standards and airspace requirements.
  • Work with the FAA and other federal entities as needed to maintain compliance and streamline operations.
  • Lead the hiring and onboarding of a rapidly growing team across multiple locations.
  • Enhance, Develop and implement training programs to ensure workforce readiness and operational excellence.
  • Drive a culture of accountability, innovation, and continuous improvement within the organization.
  • Ensure standardization of operations and training across Mission Control and Field Operations.

AWSLeadershipProject ManagementSQLBusiness AnalysisData AnalysisPeople ManagementHR ManagementCross-functional Team LeadershipOperations ManagementBusiness OperationsFinancial ManagementStrategic ManagementCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesDevOpsComplianceTrainingRisk ManagementTeam managementStrategic thinkingProcess improvementData managementBudget management

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πŸ“ United States

🧭 Full-Time

πŸ’Έ 90000.0 - 150000.0 USD per year

πŸ” Software Development

  • 5+ years in a professional software development environment
  • Proficient in Python and building scalable APIs
  • Experience with Typescript and frameworks like React or Angular
  • Knowledge of geospatial libraries and web mapping services
  • Understanding of scalable microservices
  • Design, build, and maintain tools for visualizing geospatial data
  • Update the proprietary mission control application
  • Write efficient, scalable Python APIs and web services
  • Rapidly generate functional prototypes

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πŸ”₯ Data Pipeline Engineer
Posted about 1 month ago

πŸ“ Barcelona

πŸ” Software Development

  • 5+ years of experience developing robust data pipelines and applications, with a strong understanding of data structures, algorithms and geospatial data.
  • Proven experience designing, building, and maintaining scalable data pipelines using distributed processing frameworks (e.g., Airflow, Spark, etc).
  • Demonstrated ability to interact and manage containerized data applications using Docker and Kubernetes.
  • Experience working with cloud-based storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage) and data warehousing technologies.
  • Knowledge of how distributed systems work and the challenges that they present.
  • Build and maintain our proprietary data pipeline for batch geospatial data processing.
  • Monitor and support data pipeline performance and reliability.
  • Develop new data processing tasks to support evolving data requirements.
  • Design and implement data storage solutions using cloud-based storage services.
  • Develop and optimize data workflows using distributed systems.
  • Rapid generation of functional prototypes.

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πŸ”₯ Data Pipeline Engineer
Posted about 1 month ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 120000.0 - 220000.0 USD per year

πŸ” Software Development

  • 5+ years of experience in Python.
  • Proven experience designing, building, and maintaining scalable data pipelines.
  • Demonstrated ability with Docker and Kubernetes.
  • Experience with cloud-based storage solutions.
  • Knowledge of how distributed systems work.
  • Strong troubleshooting skills.
  • Build and maintain proprietary data pipeline for batch geospatial data processing.
  • Monitor and support data pipeline performance and reliability.
  • Develop new data processing tasks to support evolving data requirements.
  • Design and implement data storage solutions using cloud-based storage services.
  • Develop and optimize data workflows using distributed systems.
  • Rapid generation of functional prototypes.

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πŸ“ United States

πŸ’Έ 150000.0 - 250000.0 USD per year

πŸ” Remote Sensing

  • 10+ years of experience.
  • Bachelor’s or Master’s degree in Photogrammetry, Remote Sensing, Geomatics, Computer Science, or a related field.
  • Strong expertise in bundle adjustment techniques and photogrammetric processing.
  • Deep understanding of Remote Sensing and Earth Observation data collection and processing techniques.
  • Proficient in Python.
  • Knowledge of GDAL and geospatial Python libraries (Shapely, rasterio..)
  • Familiarity with aerial imagery analysis, and geospatial data handling.
  • Familiarity with imagery processing libraries such as OpenCV.
  • Experience working in a professional software development environment.
  • Familiarity with cloud-based imagery or data pipelines.
  • Develop, enhance, and implement bundle adjustment algorithms to improve geospatial data accuracy.
  • Build orthorectification and mosaicking processes and pipelines.
  • Collaborate with software engineers to integrate algorithms into production systems.
  • Contribute to new sensor design and support camera calibration tests, working closely with our Flight Vehicle Engineering unit and payload engineers.
  • Implement algorithms for Image Correction with RGB and multispectral sensors, including color correction, geometric correction, and radiometry when needed.
  • Improve georeferencing processes and experiment with different approaches.
  • Provide technical expertise and guidance to internal teams on geospatial data processing.

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πŸ”₯ Computer Vision Engineer
Posted about 1 month ago

πŸ“ EU

🧭 Full-Time

πŸ” Computer Vision

  • 4+ years of experience in a professional software development environment
  • Degree in computer science, computer vision, machine learning or equivalent
  • Proficient in Python with experience in PyTorch or TensorFlow
  • Strong knowledge of image processing techniques and object detection
  • Familiarity with cloud-based imagery or data pipelines
  • Research, develop and implement Q&A algorithms on imagery
  • Improve georeferencing processes
  • Optimize deep learning models
  • Implement detectors, masks, and feature extraction
  • Implement algorithms for Image Correction

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