Software Engineer
Long Beach, CA · On-site +1
Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence ... Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI ...
Software Engineer
Long Beach, CA · On-site +1
Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence ... Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI ...
Head of Software
Long Beach, CA · On-site +1
$141.90K - $190.30K/yr
Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT) * Knowledge of ... observation-driven AI-native weather forecasting, and turn weather into an advantage, not a ...
Head of Software
Long Beach, CA · On-site +1
$141.90K - $190.30K/yr
Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT) * Knowledge of ... observation-driven AI-native weather forecasting, and turn weather into an advantage, not a ...
Weather Observer Remote information
What are the key skills and qualifications needed to thrive as a Weather Observer Remote, and why are they important?
To excel as a Weather Observer Remote, you need a solid understanding of meteorological principles, data collection, and weather instrumentation, usually supported by relevant education or specialized training. Familiarity with weather observation software, remote sensing equipment, and data transmission systems is typically required. Strong attention to detail, reliability, and clear communication are crucial soft skills in this role. These abilities ensure accurate weather reporting and timely data delivery, which are vital for forecasting and public safety.
What are some common challenges faced by remote Weather Observers, and how are they typically addressed?
Remote Weather Observers often face challenges such as working independently in isolated environments and handling rapidly changing weather conditions. Maintaining accurate and timely data collection without direct support can be demanding, so strong self-motivation and attention to detail are essential. Many organizations provide robust training, regular check-ins, and remote support systems to help observers stay connected to their teams and ensure data quality. Collaboration often occurs through scheduled virtual meetings or reporting platforms, ensuring observers remain part of a broader meteorological network.
What does a Weather Observer Remote do?
A Weather Observer Remote is responsible for monitoring and recording weather conditions from a remote location, often using specialized equipment and sensors. They collect data on temperature, humidity, wind speed, precipitation, and other atmospheric variables, and transmit this information to meteorological centers for analysis. Remote weather observers play a crucial role in providing accurate weather data, especially in areas where automated stations are not feasible. Their observations are essential for weather forecasting, climate research, and ensuring public safety.
What is the difference between Weather Observer Remote vs Weather Observer?
| Aspect | Weather Observer Remote | Weather Observer |
|---|---|---|
| Credentials | Typically requires meteorology or related certifications, sometimes remote work certifications | Requires similar meteorology certifications, often on-site |
| Work Environment | Primarily remote, monitoring data and communicating with teams | On-site at weather stations or observation sites |
| Employer & Industry | Government agencies, research institutions, remote monitoring services | Weather stations, government agencies, airports |
Weather Observer Remote and Weather Observer roles share similar credentials and industry usage, but differ mainly in work environment. The remote position focuses on data monitoring and communication from afar, while the on-site Weather Observer involves direct observation at weather stations. Both roles are essential in weather data collection and serve similar employers within the meteorology industry.
What are the most commonly searched types of Weather Observer jobs in California? The most popular types of Weather Observer jobs in California are:
What are popular job titles related to Weather Observer Remote jobs in California? For Weather Observer Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Weather Observer Remote jobs in California look for? The top searched job categories for Weather Observer Remote jobs in California are:
What cities in California are hiring for Weather Observer Remote jobs? Cities in California with the most Weather Observer Remote job openings:
Other
Posted 23 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
- 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
- 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.