Senior AI Weather Platform Engineer

Mantari Industries, Inc.; Torrance (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Equity upside

Full benefits

Hardware budget

Job summary

Mantari Industries, Inc. in the Los Angeles area is building a full-stack, AI-native weather platform that ingests sensors from satellites, buoys, and radar to forecast Earth’s atmosphere and oceans in near real time.

As a senior engineer, you will own the modeling engine, optimize GPU kernels, and stand up scalable pipelines across cloud regions, collaborating with the Head of Weather and AI modeling to operationalize next-generation forecast systems.

Qualifications

• 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.

Responsibilities

• 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

Skills

Python/C++/Rust

GPU workloads

Cloud-native infra

Deep learning frameworks

Education

Atmospheric Science / CS / related field

Tools

Kubernetes

Ray

Slurm

Job description

Mantari Industries, Inc. in the Los Angeles area is building a full-stack, AI-native weather platform that ingests sensors from satellites, buoys, and radar to forecast Earth’s atmosphere and oceans in near real time.

As a senior engineer, you will own the modeling engine, optimize GPU kernels, and stand up scalable pipelines across cloud regions, collaborating with the Head of Weather and AI modeling to operationalize next-generation forecast systems.