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About the team

 At Neural, we are committed to building the future of AI. The world is changing, and we're at the forefront of that transformation. Our team is dedicated to creating innovative solutions that address the unique challenges of today's dynamic industries and unlock the potential of new markets. 

We harness the power of Artificial Intelligence and Machine Learning to drive innovation and create solutions that shape the future of industries. We believe that the future of AI is in your hands. Our mission is to empower individuals and organizations to harness the power of AI to achieve their goals. Join us in shaping the future of AI today

About the position

If you’re excited about the future of AI, geospatial intelligence, space systems, and robotics, we encourage you to submit your resume and a brief cover letter outlining your skills, interests, and how you’d like to contribute. Even if there isn’t a specific open role that matches your background, we would love to hear from you!

Depending on your expertise, responsibilities may include:

  • Research, design, and implement AI/ML models for geospatial analytics and space applications.
  • Develop and optimize geospatial and space data pipelines, real-time processing, and cloud-based architectures.
  • Work with remote sensing data from Earth observation satellites, SAR, LiDAR, and hyperspectral sensors.
  • Develop mechanical, electrical, and thermal subsystems for spacecraft and autonomous platforms.
  • Integrate AI and automation into satellite operations, trajectory optimization, and space situational awareness.
  • Build scalable APIs and applications that integrate AI with GIS and mission control platforms.
  • Collaborate with cross-functional teams to define product requirements and roadmap.
  • Engage with customers to understand industry needs and deliver impactful AI/space solutions.

Responsibilities

Our work spans big data analytics, satellite remote sensing, geospatial intelligence, space systems engineering, and autonomous operations for Earth and space-based applications. We are constantly seeking passionate individuals in engineering, AI/ML, geospatial analytics, space systems, and operations to join our team.

Who should Apply?

If you’re excited about the future of AI, geospatial intelligence, space systems, and robotics, we encourage you to submit your resume and a brief cover letter outlining your skills, interests, and how you’d like to contribute. Even if there isn’t a specific open role that matches your background, we would love to hear from you! We welcome applications from candidates with expertise in:

AI/ML & Data Science

  • Developing AI/ML models for geospatial analytics, remote sensing, and autonomous decision-making.
  • Deep learning for satellite image processing, feature extraction, and predictive modeling.
  • AI-driven optimization for satellite operations, scheduling, and anomaly detection.

Geospatial Engineering & GIS

  • Building geospatial data pipelines, spatial databases, GIS applications, and real-time mapping solutions.
  • Working with satellite imagery (SAR, multispectral, hyperspectral), LiDAR, and drone data.
  • Implementing geospatial AI for environmental monitoring, disaster response, and risk assessment.

Software Engineering & DevOps

  • Developing scalable cloud-based AI and GIS platforms.
  • Building APIs and applications integrating AI with geospatial and space mission data.
  • Implementing Kubernetes, containerized deployments, and real-time data streaming architectures.

Mechanical & Electrical Engineering

  • Designing and optimizing spacecraft mechanical systems, thermal management, and structural components.
  • Developing electrical power systems, avionics, and communication systems for spacecraft and remote sensing payloads.
  • Integrating AI-driven fault detection, diagnostics, and automated maintenance for drone or space assets.

Space Systems & Space Operations

  • Mission planning, satellite command & control, and orbit optimization using AI-powered decision-making.
  • Developing autonomous spacecraft operations, AI-based scheduling, and payload management.
  • Designing and testing satellite bus subsystems, robotic payload interfaces, and deep space communication systems.
  • Working with space situational awareness (SSA), debris tracking, and AI-enhanced collision avoidance.

Product & Design

  • Creating intuitive AI-powered geospatial tools and mission-planning software for space operations.
  • Designing interactive data visualization platforms for real-time satellite data analysis.

Business & Strategy

  • Exploring market opportunities in AI-driven space analytics, Earth observation, and geospatial AI solutions.
  • Developing business strategies for space-based data commercialization and dual-use technologies.

Qualification

Required qualifications

  • Tenacity
  • Team work
  • Strong problem-solving skills and a passion for innovation in any of Neural's core industries and technologies.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred qualifications

  • Background in AI/ML, geospatial analytics, aerospace engineering, mechanical/electrical engineering, space systems, or related fields.
  • Experience with Python, TensorFlow/PyTorch, GDAL, PostGIS, and cloud services (AWS, GCP, Azure).
  • Knowledge of remote sensing, satellite image processing, GIS tools (QGIS, ArcGIS, Google Earth Engine).
  • Experience with sadvanced autonomous systems, earth observation, or geospatial for finance.
  • Prior experience in data analytics, robotics, or space missions.
  • Expertise in mechanical or electrical engineering for spacecraft, avionics, power systems, or thermal modeling.
  • Contributions to geospatial AI research, space tech, open source projects, or aerospace publications.
  • Security clearance or eligibility for work in government and defense-related AI/space programs a plus.
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