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Mantari

Weather intelligence platform with AI forecasting

Head of Software

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTorrance, CA, USA

About the Job

Requirements

  • A BS, MS, or PhD in Computer Science, Software Engineering, or a related technical field is required.
  • At least 8 years of experience in software architecture and systems engineering is required.
  • Experience designing and operating large-scale, cloud-native platforms across multiple services, distributed systems, and high-throughput workloads is required.
  • Expertise in cloud infrastructure, including GCP, AWS, or Azure, is required.
  • Expertise in container orchestration using Kubernetes, Nomad, or Slurm is required.
  • Expertise in data streaming and pipelines using Kafka, Beam, Ray, or Spark is required.
  • Expertise in microservice design, API gateways, and backend architecture is required.
  • A strong DevOps foundation in CI/CD, infrastructure as code, monitoring, and observability is required.
  • Experience supporting ML/AI pipelines for training, inference, and versioning at scale is required.
  • A track record of leading teams that deliver production-critical platforms is required.

Responsibilities

  • Architect Mantari’s end-to-end platform, spanning sensor platform autonomy and edge compute; sensor data ingestion and transformation; data assimilation and model runtime orchestration; scalable model training and distributed inference; API services and analytics layers; and secure, multi-tenant customer delivery.
  • Lead software design for modular, cloud-native, high-availability systems, including microservices, container orchestration, and data streaming.
  • Define the platform runtime, including how physics-based, hybrid, and AI models are deployed, scheduled, and versioned, and ensure customer verification and validation.
  • Build developer velocity through CI/CD, observability, and deployment pipelines.
  • Own cloud infrastructure, including cost optimization, GPU fleet management, and multi-region scaling.
  • Establish data platform foundations for storage, ETL, metadata, lineage, and reanalysis.
  • Collaborate with machine learning and atmospheric science teams to align software design with model and data needs.
  • Set technical standards across the codebase, security, APIs, and reliability.
  • Recruit, mentor, and scale the software engineering team.

Desired Qualifications

  • Background building real-time analytics, computing systems, or Earth observation systems.
  • Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale.
  • Experience integrating multimodal data, including satellite, sensor, remote sensing, or IoT data.
  • Knowledge of forecasting systems, data assimilation, or simulation pipelines.
  • Prior experience in high-stakes environments such as aerospace, defense, energy, or autonomy.
  • Ability to work across science, machine learning, software, and product disciplines.

About the Company

Mantari

Weather intelligence platform with AI forecasting

Mantari builds an AI-native, full-stack weather intelligence platform delivering Weather-as-a-Service with data streams, models, and decision tools. It uses proprietary sensors for sea, air, and land plus a cloud data layer, with autonomous edge sensing fleets and deep learning models to produce near real-time forecasts and APIs for operations. It differentiates itself by end-to-end integration from sensors to decision APIs and embedded engines, serving government agencies and high-value commercial sectors like maritime, energy, and logistics. Its goal is to replace legacy public-sector weather systems by turning environmental signals into actionable intelligence for decision-making.

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