Mantari

Weather intelligence platform with AI forecasting

Embedded Hardware/Software Engineer - Distributed Weather Sensor Networks

Hardware Systems IntegrationConfirmed live in the last 24 hours

Full-timeLong Beach, CA, USANo salary listedIn-person

About the Job

Requirements

A Bachelor of Science in Electrical Engineering or Mechanical Engineering, or a related field, and 2–4 years of experience building hardware in fast-paced environments.
Hands-on embedded development experience in C or C++, using an RTOS or bare-metal environment, and familiarity with Python for test automation.
Experience integrating sensors and actuators, including analog front ends, calibration, signal integrity, and safety.
Practical radio-frequency fundamentals, including link budgets, antennas, modulation, sensitivity, and interference; long-range communications experience and exposure to satellite telemetry.
Familiarity with PCB tools such as Altium or KiCad, lab instrumentation such as oscilloscopes, VNAs, and spectrum analyzers, and hardware bring-up.
Ownership from prototype through testing and manufacturing or production support.

Responsibilities

Select and integrate off-the-shelf sensors, including meteorological sensors and GPS/IMU, microcontrollers, and communications modules; define interfaces and power budgets.
Define and implement robust power systems.
Architect resilient mesh networking for remote, intermittently connected nodes, including routing, store-and-forward, and edge buffering.
Bring up and validate boards, including commercial off-the-shelf boards and potentially in-house PCB work; design low-noise analog front ends and sensor conditioning.
Develop embedded firmware, drivers, and hardware abstraction layers for I²C, SPI, UART, CAN, and RS-485 devices; implement logging and configuration.
Implement actuator control for PWM, BLDC/stepper drivers, and solenoids, with safety interlocks and diagnostics.
Configure long-range RF such as sub-GHz ISM, LoRa/LoRaWAN, FSK/OOK, and possibly QAM; integrate satellite modems such as Iridium or Globalstar; design telemetry with retries, compression, and over-the-air update pipelines.
Deploy onboard processing for filtering, feature extraction, and basic anomaly detection; optimize for low-power duty cycles.
Engineer for environmental extremes, including humidity, salt fog, and thermal cycling; contribute to enclosure and IP-sealing choices.
Author test plans, fixtures, and scripts; run hardware abstraction layer and driver unit tests, RF link tests, and environmental performance tests.
Drive design-for-manufacturing and design-for-test decisions and supplier selection; support pilot builds and yield/debug during production ramp.
Support field deployments and remote troubleshooting; collaborate with modeling/forecasting and decision-software teams to ensure sensor outputs meet platform needs.
Maintain schematics, bills of materials, interface control documents, and test reports; contribute to platform standards and best practices across future vehicle types.
Within 30 days, deliver a subsystem plan and component selections, bring up development boards, and assemble a set of sensors.
Within 60 days, demonstrate a single mesh-node prototype with RF and satellite backhaul and reliable logging, and establish a baseline power profile.
Within 90 days, expand to multiple mesh elements, exercise the full stack, and prepare a productionized variant.

Desired Qualifications

Experience with mesh protocols such as LoRaWAN, Thread, Zigbee, 6LoWPAN, or custom routing over sub-GHz.
Experience with over-the-air update frameworks, secure boot, encryption, and key management for edge devices.
Experience with low-power design, including sleep states and power gating, energy harvesting, or field hardening for harsh environments.
Experience in new-space or aerospace hardware programs, such as launch, on-orbit, or avionics environments with rapid iteration and strong reliability practices.
Basic edge machine learning or digital signal processing for feature extraction, and telemetry compression.
Experience working with contract manufacturers and suppliers, and with reliability testing standards such as HALT/HASS and environmental 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.

Documentation & quality

Maintain schematics, BOMs, ICDs, and test reports; contribute to platform standards and best practices across future vehicle types.

What you’ve done (minimum qualifications)

B.S. in Electrical or Mechanical (or related) and 2–4 years building real hardware in fast-paced environments.

Hands on embedded development in C/C++ (RTOS or bare metal); familiarity with Python for test automation.

Experience integrating sensors and actuators: analog front ends, calibration, signal integrity, and safety.

Practical RF fundamentals (link budgets, antennas, modulation, sensitivity, interference) and long range comms; exposure to satellite telemetry.

Comfort with PCB tools (e.g., Altium/KiCad), lab instrumentation (scope, VNA, spectrum analyzer), and hardware bring up.

Proven ownership from prototype through test and manufacturing/production support.

Bonus points (preferred experience)

Mesh protocols: LoRaWAN, Thread, Zigbee, 6LoWPAN, or custom routing over subGHz.

OTA update frameworks, secure boot, encryption, and key management for edge devices.

Low power design (sleep states, power gating), energy harvesting, or field hardening for harsh environments.

Experience in new space or aerospace hardware programs (e.g., launch/on orbit/avionics environments with rapid iteration and strong reliability culture).

Basic edge ML or DSP for feature extraction; telemetry compression.

Working with contract manufacturers, suppliers, and reliability testing standards (HALT/HASS, environmental).

How you’ll succeed (first 90 days)

30 days: Deliver a subsystem plan and component selections; bring up dev boards and a set of sensors

60 days: Demonstrate a single mesh node prototype with RF + satellite backhaul and reliable logging; baseline power profile.

90 days: Expand to multiple mesh elements, exercising the full stack, and prepare for a productionized variant

Weather shapes every decision made on Earth. At Mantari you’ll write code that moves metal, launch sensors that tame storms, and see your work ship in weeks—not years. Join us to build the world’s first private full-stack weather platform and leave your fingerprints on infrastructure that will outlast us all.Apply now—let’s create the future of weather, together.

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.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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