Mantari
Head of Software
Torrance, California, United States · Senior
Sponsorship not specifiedDetected 37 days ago
Full-Stack DevelopmentAWSGCPAzureCloud PlatformsKubernetesCI/CDDevOpsKafkaMachine LearningDeep LearningSparkData EngineeringForecastingSystems EngineeringLeadershipCommunicationRemote Sensing
About the role
- At Mantari Industries, we're replacing yesterday's public sector weather systems with a full stack, AI-native platform that senses, models, and predicts Earth's atmosphere and oceans in near real time. Our mission is to sense Earth in its entirety — oceans, skies, and space — and close the gap between what nature does and what humanity knows. By building a
- distributed network of sensors fused with breakthrough AI, Mantari transforms raw environmental signals into actionable intelligence so that the world's most critical outcomes, from global trade and securing grids to defending nations, are guided not by uncertainty, but by foresight. Our autonomous edge sensing fleets, deep learning forecast models, and
Responsibilities
- Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming)
- Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines
- Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling
- Collaborate with ML and atmospheric science teams to align software design with model and data needs
- Background building real-time analytics, or computing systems/earth observation systems
- 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.
Requirements
- 8+ years in software architecture and systems engineering
- Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput)
- Deep expertise in:
- Experience supporting ML/AI pipelines (training, inference, versioning) at scale
- Track record of leading teams delivering production-critical platforms
- LA HQ required.
Nice to have
- Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale
- Knowledge of forecasting systems, data assimilation, or simulation pipelines
- Prior experience in high-stakes environments (aerospace, defense, energy, or autonomy)
- Comfort working across disciplines - science, ML, software, product
- Strong communication skills and leadership presence
- Small, senior team
- high autonomy, high expectations.
- Weather shapes every decision made on Earth.
Skills
- 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
- Secure multi-tenant customer delivery
- Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis)
- Set technical standards across codebase, security, APIs, and reliability
- Recruit, mentor, and scale Mantari's software engineering team
- Cloud infrastructure (GCP, AWS, or Azure)
- Container orchestration (Kubernetes, Nomad, Slurm)
- Data streaming and pipelines (Kafka, Beam, Ray, Spark)
Compensation
- Competitive salary, full benefits, and hardware budget.
Benefits
- turn the full-stack vision into code and build the infrastructure of foresight.
- Equity upside commensurate with being one of the first core team members.
- Competitive salary, full benefits, and hardware budget.
Company info
- Verification/validation for customers is critical!
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This listing is sourced directly from Mantari's careers page and normalized into a canonical job model.