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Remote Wireless Sensor Network Jobs in California

Mantari

Software Engineer

Torrance, CA · On-site +1

Automate data ingest and feature engineering from our growing sensor network (satellite, buoy ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Mercor

Telecom Network Expert - AI

San Francisco, CA · Remote

$1.1K - $1.4K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to network ... Background in areas such as wireless/cellular networks , wireline/broadband infrastructure , or ...

Versa Networks

Wireless Test Engineer

Santa Clara, CA · On-site +1

$140K - $180K/yr

... networking technology. We encourage creativity, offer opportunities for growth, and provide a ... Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best ...

Endsight

System Engineer [Remote OR Hybrid]

Napa, CA · On-site +1

$38.46 - $62.50/hr

Design and deploy wireless networking solutions across various client environments * Support virtualization and remote access technologies including VMware, Hyper-V, RDS, Citrix, and VPN solutions ...

Endsight

System Engineer [Remote OR Hybrid]

Napa, CA · On-site +1

$38.46 - $62.50/hr

Design and deploy wireless networking solutions across various client environments * Support virtualization and remote access technologies including VMware, Hyper-V, RDS, Citrix, and VPN solutions ...

Endsight

System Engineer [Remote OR Hybrid]

Napa, CA · On-site +1

$38.46 - $62.50/hr

Design and deploy wireless networking solutions across various client environments * Support virtualization and remote access technologies including VMware, Hyper-V, RDS, Citrix, and VPN solutions ...

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All JobsRemote Wireless Sensor Network JobsRemote Wireless Sensor Network Jobs in California

Remote Wireless Sensor Network information

What is the difference between Remote Wireless Sensor Network vs Wireless Network Engineer?

AspectRemote Wireless Sensor NetworkWireless Network Engineer
CredentialsDegree in Computer Science, Electrical Engineering, or related field; certifications like Cisco CCNA or CWNASimilar certifications; Cisco CCNA, CWNA, or equivalent
Work EnvironmentField deployments, remote locations, labs, or officesOffice settings, network operation centers, or client sites
Industry UsageIoT, environmental monitoring, industrial automationTelecommunications, enterprise networks, service providers
Search & Comparison IntentFocus on sensor deployment, data collection, remote monitoringNetwork design, troubleshooting, wireless infrastructure

Remote Wireless Sensor Network specialists focus on deploying and managing sensor systems in remote or field environments, often involving IoT applications. Wireless Network Engineers design, implement, and troubleshoot wireless networks within organizations. While both roles require similar certifications and technical skills, their work environments and primary responsibilities differ significantly.

What are the most commonly searched types of Wireless Sensor Network jobs in California? The most popular types of Wireless Sensor Network jobs in California are:
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Remote Wireless Sensor Network jobs near you

Software Engineer

Mantari

Torrance, CA • On-site, Remote

Other

Posted 2 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