---
title: 'Full Stack Engineer at Distributed Spectrum'
canonical: 'https://feeny.ai/job/full-stack-engineer-distributed-spectrum-new-york-xyscx938b5e9'
type: 'job'
last_seen: '2026-09-13'
---

# Full Stack Engineer at Distributed Spectrum

- **Company:** Distributed Spectrum
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-03-18
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.gem.com/distributed-spectrum/am9icG9zdDpJnST0V7fs5gkC2uQHvgdb

## Job description

We’re hiring a Full Stack Software Engineer to help build and refine our web-based interfaces, turning AI signal processing systems into an intuitive, performant user experience. You’ll work across the stack—from front-end frameworks like React to backend services in Rust—delivering fast, scalable solutions that keep pace with our rapidly evolving product.

This is not just a heads-down coding gig. You’ll be part of architecture discussions, quick prototypes, and real customer deployments, all in a startup environment where speed and ownership matter. If you’re hungry to grow, comfortable wearing multiple hats, and excited to push features quickly, we’d love to chat.

What you’ll do:

- Build and optimize front-end applications in React for real-time data visualization and user interaction.
- Develop backend APIs and services, contributing to both Rust and Python codebases.
- Work with databases and data streaming systems, ensuring performance and reliability at scale.
- Contribute to ad hoc prototypes—like a quick UI or a full system add-on—and integrate them seamlessly into the overall product.
- Collaborate closely with product, design, and ML teams, translating insights and feedback into new features or improvements.
- Participate in architecture-level decisions, helping shape the evolution of our platform.
- Grow fast with real opportunities – We’ll keep expanding your scope and giving you bigger challenges to help you reach your goals. If you don’t know exactly what role you want to grow into, you’ll have the freedom to take on different responsibilities and find the right path. Who we’re looking for (every role):
- Fast learners over specific backgrounds – We care more about how quickly you can pick up new skills than where you’ve worked before.
- Intellectual honesty – The right answer matters more than being right. You challenge assumptions, test ideas, and pivot when needed.
- Adaptability – We’re organized, but sometimes things change quickly. You find a way to make it work and balance short term deliverables with long term goals.
- Ownership of outcomes – You optimize your own time, focus on what matters to deliver quickly, and cut out inefficiencies.
- Not building in a vacuum – You stay connected to the rest of our teams and our customers to make sure all the pieces fit together. Who we’re looking for (this role):
- Hands-on full stack experience—you’re comfortable hopping between frontend frameworks (React) and backend services (Rust, Python).
- Strong web development fundamentals—RESTful APIs, databases, and modern front-end tooling.
- Preferably startup experience, or at least a track record of working fast and delivering in a dynamic environment.
- Comfortable in Linux environments, with good understanding of build, deploy, and testing workflows.
- Excited to learn quickly and take on challenges beyond your immediate comfort zone.
- Great communication skills—you’ll discuss designs, explain technical trade-offs, and coordinate with multiple teams. What We Offer:
- Above-market salary, equity, and benefits package. In accordance with NY regulations, the salary range for this position is $100,000-$300,000 to cover a broad range of candidate experience.
- Excellent health, dental, and vision coverage
- 401(k) match - 100% up to 4% of salary
- Unlimited PTO
- Daily office lunches in NYC

## About Distributed Spectrum

## Company Overview
- **One-liner**: Distributed Spectrum builds AI-powered software and sensors that use commodity hardware to detect, identify, and track radio signals for defense and security missions.
- **Entity Type**: Private (Venture-backed; Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Alex Wulff (CEO), Ben Harpe (COO), Isaac Struhl (CTO)

## Core Business
- Primary industry/industries: Defense technology, signal processing, electronic warfare, artificial intelligence
- Target customers: U.S. Department of Defense (DoD), Intelligence Community (IC), and other government/security stakeholders (B2G)
- Mission or purpose statement: To let anyone understand critical radio signals in any mission, bridging the gap between $100 off-the-shelf hardware and existing $1M+ legacy systems.

## Products & Services
- **Distributed Spectrum Platform**: An AI-enabled software platform that processes radio frequency data locally on edge devices. It identifies and tracks threats (carried, driven, or left behind) and provides real-time alerts and autonomous threat mapping without requiring expensive hardware or trained experts. Type: SaaS + Hardware (sensors).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of **$25.2M** (Series A of $25M led by Shield Capital and Conviction in April 2025; prior funding includes a $231,904 NSF Grant in 2021)
- **Notable Investors/Partners**: Shield Capital, Conviction (Sarah Guo), Nat Friedman (NFDG), National Science Foundation
- **Growth Signals**: Secured $7M in contracts across DoD and IC within 60 days prior to their Series A. Headcount grew 111% YoY (from ~12 to 32 employees as of mid-2025). The company has filed 6 patents, with one granted in August 2025 for "Radio-frequency signal processing systems and methods."

## Competitive Advantages
- **Software-Defined Disruption**: Shifts focus from expensive, bespoke hardware to modular, flexible software that works with commodity hardware, disrupting entrenched players with $1M+ systems.
- **Edge AI & Autonomy**: Processes data locally on the sensor to map threats autonomously, reducing latency and the need for human experts in the field.
- **Deep Technical Moat**: Combines expertise in machine learning, signal processing, and embedded systems—a "net-new, technically hard problem" with no existing blueprint.
- **Founding Team**: Founders have deep domain experience at Raytheon, Lockheed Martin, Microsoft, Google, and Bridgewater.

## Strategic Focus
- Scaling the engineering and AI/ML teams to meet oversubscribed demand from DoD and IC.
- Developing "RF Foundation Models" to advance machine learning for radio frequency analysis.
- Expanding from a team of 7 engineers to a larger, multi-disciplinary organization while maintaining high ownership and in-person collaboration.

## Why Work Here
- **Impact**: Solve a net-new, technically hard problem at the intersection of machine learning, embedded systems, and national security. "Too oversubscribed with demand to work on anything that's not mission critical."
- **Culture**: High growth, high ownership, and "trust by default." The team values scientific and mathematical fundamentals over cargo-culting solutions from other fields.
- **Work Environment**: **In-person, 5 days per week** in New York City (99 Madison Ave, 4th Floor). The company believes in solving problems side-by-side with talented thought partners.
- **Team**: Currently ~32 people, growing fast. Backed by world-class investors including Sarah Guo (Conviction) and Nat Friedman.
- **Open Roles**: Engineering (Embedded, RF, Systems Integration), AI/ML (RF Foundation Models), Growth (Mission Operations), and Operations.

## Sources
1. [distributedspectrum.com](https://www.distributedspectrum.com/)
2. [distributedspectrum.com/about](https://www.distributedspectrum.com/about)
3. [linkedin.com/company/distributed-spectrum](https://www.linkedin.com/company/distributed-spectrum)
4. [cbinsights.com/company/distributed-spectrum](https://www.cbinsights.com/company/distributed-spectrum)
5. [jobs.ashbyhq.com/distributed-spectrum](https://jobs.ashbyhq.com/distributed-spectrum)

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