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Mobile Wireless Sensor Network Jobs (NOW HIRING)

Specter

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

We offer both long range wireless (1km range) and wired sensor variants to suit any deployment. Our ... Design and build low-latency networking infrastructure connecting embedded devices and cloud ...

Addium Inc

Senior Electrical Engineer

Portland, OR

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with wireless sensor networking concepts (mesh or LPWAN architectures) a plus. * Expert engineering documentation - design history, requirements traceability, and reference-quality ...

Addium Inc

Senior Electrical Engineer

Portland, OR · On-site

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with wireless sensor networking concepts (mesh or LPWAN architectures) a plus. * Expert engineering documentation - design history, requirements traceability, and reference-quality ...

Sensorum Health

Senior Software Engineer

New York, NY · Remote

$160K - $190K/yr

Our sensor network leverages real-time OSs running on our sensor hardware, IoT applications, message queue processing, mobile apps, web apps, AI training and inference pipelines. Operating Philosophy ...

Addium Inc

Senior Electrical Engineer

Pullman, WA · On-site

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with wireless sensor networking concepts (mesh or LPWAN architectures) a plus. * Expert engineering documentation - design history, requirements traceability, and reference-quality ...

Addium Inc

Senior Electrical Engineer

Pullman, WA

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with wireless sensor networking concepts (mesh or LPWAN architectures) a plus. * Expert engineering documentation - design history, requirements traceability, and reference-quality ...

ADDIUM, Inc.

Senior Electrical Engineer

Pullman, WA · On-site

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with wireless sensor networking concepts (mesh or LPWAN architectures) a plus. * Expert engineering documentation -- design history, requirements traceability, and reference-quality ...

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Mobile Wireless Sensor Network information

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$10

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$82

How much do mobile wireless sensor network jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for mobile wireless sensor network in the United States is $52.57, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $62.02 per hour, depending on experience, location, and employer.

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

AspectMobile Wireless Sensor NetworkWireless Network Engineer
CredentialsKnowledge of sensor networks, wireless communication protocols, and embedded systemsCertifications like CWNA, CCNA, or CWNP; strong understanding of wireless infrastructure
Work EnvironmentField deployments, research labs, and sensor network installationsOffice settings, network planning, and infrastructure management
Industry UsageEnvironmental monitoring, military, healthcare, and smart citiesTelecommunications, enterprise networks, and internet service providers

While both roles involve wireless communication, Mobile Wireless Sensor Network specialists focus on deploying and managing sensor-based networks in various environments, whereas Wireless Network Engineers design and maintain wireless infrastructure for organizations. The roles share certifications and technical skills but differ in application and work settings.

What cities are hiring for Mobile Wireless Sensor Network jobs?

Cities with the most Mobile Wireless Sensor Network job openings:

What are the most commonly searched types of Wireless Sensor Network jobs?

The most popular types of Wireless Sensor Network jobs are:

What states have the most Mobile Wireless Sensor Network jobs?

States with the most job openings for Mobile Wireless Sensor Network jobs include:

Mobile Wireless Sensor Network jobs near you

Software Engineer - Systems

Specter

San Francisco, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 20 days ago

Job description

Company BackgroundSpecter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
The RoleSpecter is hiring a Software Systems Engineer to build the real-time device software at the heart of our platform - spanning sensor integration, video pipelines, low-latency networking, and the infrastructure that ties it all together. This role owns the full stack from hardware interface to cloud edge, working closely with ML, perception, and platform teams to ship the performant, reliable systems that power autonomous monitoring across our customers' physical environments.
Responsibilities:
  • Design and build low-latency networking infrastructure connecting embedded devices and cloud systems - protocol design, congestion handling, and tuning for throughput and reliability across a distributed sensor network
  • Build resource-efficient pipelines to ingest and egress multimodal sensor data and telemetry, handling packetization, buffering, and backpressure across constrained device environments
  • Own low-latency command and control infrastructure across a distributed sensor network, with a focus on fault tolerance, deterministic timing, and graceful degradation
  • Integrate and fuse multimodal data streams from cameras, IMUs, and other sensors - working across driver boundaries, synchronization, and calibration to produce reliable inputs for downstream algorithms
  • Build and optimize video and image processing pipelines end-to-end: capture, hardware-accelerated encode/decode, streaming, and storage
  • Contribute to tracking and state estimation algorithms, bridging raw sensor data and meaningful system outputs in close collaboration with ML and perception teams
  • Build and maintain CI pipelines, test harnesses, and reliability tooling - the simulators and replay systems that let the team move fast without breaking things in the field
  • Instrument, profile and benchmark system performance - CPU/GPU utilization, memory pressure, network throughput and latency - and drive systematic improvements

Qualifications:
  • Broad systems experience across the areas below, with demonstrable depth in at least one - whether that's networking, video/sensor pipelines, or low-level Linux systems work
  • Production Rust (preferred) or C++ in low-latency, embedded, or systems contexts - with real ownership of performance, reliability, and resource constraints
  • Deep networking knowledge (UDP, TCP, QUIC) beyond the API level - packet loss, flow control, retransmission, and tuning for real-world conditions; strong Linux systems fundamentals including IPC, scheduling, and memory management
  • Hands-on hardware integration experience - cameras, IMUs, or other sensors - including driver interfaces, kernel boundaries, and video pipelines (capture, encode/decode, streaming via V4L2, GStreamer, FFmpeg, or similar)
  • Proficiency with concurrency and parallel programming - lock-free structures, async runtimes, thread management - with a track record of shipping correct, performant, concurrent code
  • Comfortable owning CI infrastructure, test harnesses, benchmarking pipelines, and observability tooling alongside feature work

Nice to Have
  • Experience working alongside real-time, multimodal ML data ingestion systems - understanding the data quality, latency, and throughput requirements that make or break model performance
  • Hands-on experience with modern video codec implementations (H.264, H.265, AV1) across hardware platforms - encoder tuning, rate control, and platform-specific acceleration (V4L2, NVENC, etc.)
  • Robotics, perception, or state estimation background - familiarity with sensor fusion, localization, tracking algorithms
  • Experience writing Rust and Nix

Apply