Wildcard

Mantari; Torrance (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Mantari is constructing a full-stack AI-native weather intelligence platform in California. You will contribute to production ML systems, edge sensing, and decision products that serve traders, pilots, and defense customers.

The role emphasizes rapid prototyping, end-to-end ownership, and the ability to operate across hardware, software, and business development. Remote work is unlikely; local impact is emphasized.

Qualifications

• Experience building production ML systems and end-to-end data pipelines.
• Ability to design scalable architectures for sensors, edge compute, and decision products.
• Proven track record in navigating complex gov-tech deals or multi-stakeholder environments.

Responsibilities

• Develop production-grade weather intelligence systems.
• Scale sensing networks and AI models to improve forecast skill and coverage.
• Collaborate with cross-functional teams and mentor juniors.

Skills

ML engineering

System design

Data analysis

BD / gov-tech deals

Product mindset

Education

B.S./M.S. in CS/EE

Tools

CUDA

JAX

Job description

AtMantariIndustries, 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.

Wildcard – Build the Future of Weather Intelligence at Mantari

If you see gaps where others see limits, keep reading.

Mantari is taking a moon-shot swing at modernizing global weather intelligence—owning the full stack from novel sensors to AI-native forecasts to decision products that move markets and militaries. We’ve raised pre-seed capital and we’re scaling fast. But some of the best people don’t fit clean job boxes—so we built one just for you.

Your mandate

• Find the biggest lever inside our sensing → data → model → product pipeline and pull it hard—whether that’s writing CUDA kernels for a new GPU ensemble, designing a buoy powertrain that survives the Bering Sea, or brokering a data-sharing deal with Space Force.

• Ship early and often. Prototype in weeks, not quarters. Own the win-conditions and the post-mortem.

• Operate founder-level. Challenge strategy, shape roadmaps, and hire/mentor talent as we grow.

• Stretch beyond your lane. If your idea can 10× forecasting (or decision‑making) skill, you’ll get the runway to prove it.

You might be

• An ML engineer who rips apart climate models on JAX—but also tunes RF front‑ends on the weekend.

• A systems hacker who’s built satellites, sensor nets, or HF comms and wants to aim that skill at weather.

• A go‑to‑market savage who’s closed eight‑figure gov‑tech deals and can decode FAR acronyms in your sleep.

• A product polymath who turns messy data into dashboards that pilots, traders, and warfighters swear by.

If none of these sound like you, perfect. Prove we missed a category.

We’re looking for

• Extreme ownership. You default to “I’ll figure it out” across hardware, software, or BD.

• Rate of learning that makes diplomas look slow. You teach us something in the first interview.

• Bias for action in chaotic, zero‑hand‑holding environments.

• Signal of excellence in any domain: patents, open‑source projects, combat deployments, PhD papers, startup exits—show us your spike.

What success looks like after 12 months

• You’ve delivered at least one production system or deal that moves Mantari’s core metrics (forecast skill, sensor coverage, ARR, or strategic leverage) by an order of magnitude.

• Your work is cited in investor decks and DoD briefings as a reason Mantari wins.

Why Mantari

• Mission, not maintenance. We’re replacing government‑era infrastructure with a private, AI‑native platform that restores U.S. dominance in weather intelligence.

• Vertical playground. Sensors, edge compute, deep‑learning models, dual‑use applications: the whole stack is on the table.

• Talent density. Work alongside ex‑SpaceX engineers, former NCAR fellows, and business magicians who care about impact over ego.

• Upside. Competitive cash, meaningful equity, and the chance to write your own role into the org chart.