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Mantari

Embedded HW/SW Engineer

Torrance, California, United States; Torrance HQUnited States
Avionics
POSTED 9 JAN
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Role
304 days opentrue age
Posted 9 Jan
Pay
$126k–$200kno pay posted
Market p25–p75
$126k–$200k
United States · n=5885 · 365d to 6 Nov
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All tracked boards · live 10 Nov · n=37,626
C++Testing

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 integrated customer decision engines will create the most precise weather intelligence on the planet—empowering industry, strengthening climate resilience, providing vital intelligence to American warfighters, and opening billion-dollar markets that don’t exist yet.

Backed by premier venture capital and led by engineers and scientists who’ve landed rockets and pioneered novel AI forecast techniques, we move fast, own the hard problems end to end, and measure success in real world impact. If you want to build frontier tech with outsized consequences, welcome aboard.

Embedded HW/SW Engineer — Distributed Weather Sensor Networks

Location: Long Beach

Team: Hardware Engineering

Level: Individual Contributor (2–4 years experience)

Type: Fulltime

Why this role matters

We’re building a planet scale, sensor to decision weather capability—modern sensing hardware, AI native forecasting, and decision intelligence—so organizations can act on weather with confidence. Your work will help stand up autonomous, distributed sensing hardware and the data pathways that feed our forecasting and decision tools.

The mission

Own the development of a distributed mesh network of weather sensors that can (1) measure and log environmental data, (2) perform onboard compute at the edge, (3) effect motion (motors/actuators), and (4) transmit data reliably over RF line of sight and satellite links. Initially you’ll take the first platform from concept through build, test, and production ramp, then extend the approach to additional platforms and vehicle form factors.

What you’ll do

System architecture & integration

  • Select and integrate off the shelf sensors (meteorological sensors, GPS/IMU), microcontrollers, and comms modules; define interfaces and power budgets.
  • Define and implement robust power systems
  • Architect resilient mesh networking for remote, intermittently connected nodes (routing, store and forward, edge buffering).

Electronics & firmware

  • Own bring up and validation of boards (COTS and potentially in-house PCB work); design low noise analog front ends and sensor conditioning.
  • Develop embedded firmware (C/C++), drivers, and HALs for I²C/SPI/UART/CAN/RS485 devices; implement logging and configuration.
  • Implement actuator control (PWM, BLDC/stepper drivers, solenoids) with safety interlocks and diagnostics.

RF & satellite communications

  • Configure long range RF (e.g., subGHz ISM, LoRa/LoRaWAN, FSK/OOK, possibly QAM) and integrate satellite modems (e.g., Iridium/Globalstar); design robust telemetry with retries, compression, and over the air update pipelines.

Edge compute & reliability

  • Deploy onboard processing for filtering, feature extraction, and basic anomaly detection; optimize for low power duty cycles.
  • Engineer for environmental extremes (humidity, salt fog, thermal cycling); contribute to enclosure/IP sealing choices.

Verification, validation, and production

  • Author test plans, fixtures, and scripts; run HAL/driver unit tests, RF link tests, and environmental performance tests.
  • Drive DFM/DFT decisions and supplier selection; support pilot builds and yield/debug during production ramp.

Field operations & cross-functional

  • Support field deployments and remote troubleshooting; collaborate closely with modeling/forecasting and decision software teams to ensure sensor outputs meet platform needs.
Source · MantariFirst seen 7 NovOriginal ↗