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Remote Civilian Geospatial Intelligence Jobs in California

Mantari

Software Engineer

Torrance, CA · On-site +1

Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open ...

SpaceX

Platform Integrity Manager (Starlink)

Hawthorne, CA · On-site +1

$135K - $200K/yr

Bachelor's degree and 6+ years of professional experience in global affairs, intelligence, or ... This position is based in Hawthorne, CA and requires being onsite-remote work not considered * Must ...

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Infographic showing various Remote Civilian Geospatial Intelligence job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Software Engineer

Mantari

Torrance, CA • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

Description

Own the guts of our modeling engine, everything between raw sensor data and a lightning-fast forecast API:

  • Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware transformer models
  • Stand up reproducible, containerized pipelines (Ray, Kubernetes, Slurm, or similar) that scale from a single GPU to multi-region GPU clusters in the cloud
  • Automate data ingest and feature engineering from our growing sensor network (satellite, buoy, radar, etc.)
  • Translate novel research prototypes into production-grade code

You'll work closely with Mantari's Head of Weather and AI modeling teams to operationalize next-generation forecast systems, bringing meteorological science and modern ML together at planetary scale.

Requirements
  • Degree in Atmospheric Science, Computer Science, or related engineering / physical sciences field
  • 5+ years writing high-performance Python/C++/Rust for GPU workloads
  • Real-world experience designing and building cloud-native applications and infrastructure (GCP, AWS, or Azure)
  • Deep fluency with at least one modern deep learning framework (JAX, PyTorch, TensorFlow, etc.)
  • Proven track record shipping distributed training or inference systems at scale (100+ GPUs)
  • Comfortable profiling kernels, diagnosing memory bottlenecks, and reading compiler logs when needed
  • Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization
Bonus Qualifications
  • Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence
  • Background in physics-informed ML, simulation modeling, or data assimilation
  • Contributions to open-source ML or scientific computing frameworks
How We Work
  • Small, senior team; high autonomy, high expectations.
  • Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock.
  • LA HQ required.
  • Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget.

Apply