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Recruiting From Scratch

Forward Deployed Software Engineer - Edge Autonomous Systems

Recruiting From Scratch, New York, New York, us, 10261

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Who is Recruiting from Scratch:

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.

Role:

Forward Deployed Software Engineer – Edge Autonomous Systems

Location:

Washington D.C. (strong preference) • Palo Alto, CA • Seattle, WA • Denver, CO • New York, NY Company Stage of Funding:

Public Company Office Type:

Hybrid (25–75% travel may be required) Salary:

$135K – $200K base + RSUs

Company Description Our client is a global leader in advanced data integration and decision intelligence systems, supporting some of the most mission‑critical operations across defense, government, and commercial sectors. The company builds technology that helps organizations use data to solve their most urgent and complex problems — from protecting critical infrastructure to enabling autonomous decision‑making at the edge.

As part of a newly formed engineering team, you’ll work on

autonomous and edge‑deployed systems

that directly impact national security, safety, and real‑world mission outcomes.

What You Will Do

Design, build, and deploy mission‑critical software and AI solutions for

autonomous systems, sensor fusion, and real‑time decision‑making .

Integrate cutting‑edge autonomy software with

sensors (radar, cameras, RF systems) , effectors, and autonomous platforms such as drones or mobile robotics.

Tackle complex technical challenges in

edge computing, networking, security, and distributed systems , ensuring reliable performance in austere environments.

Collaborate with cross‑functional experts in

AI/ML, systems engineering, sensing, and robotics

to deliver highly integrated real‑world solutions.

Work hands‑on in testing and deploying your code on

edge hardware and autonomous systems , ensuring software stability in mission environments.

Ideal Candidate Background

2+ years of professional software development experience.

Strong proficiency in

Python, Rust, C++, or Java .

Experience integrating and deploying software to

autonomous systems, drones, or on‑prem/edge hardware .

Knowledge of

Linux/GNU, networking, CI/CD pipelines, and automation tools .

Background in

Computer Science, Robotics, or Electrical Engineering , or equivalent hands‑on experience.

Eligible and willing to obtain a

U.S. Security Clearance

(active clearance preferred).

Comfortable with travel (typically 25–75%, depending on team and deployment).

Preferred Qualifications

Experience working with

AI/ML models, computer vision, or sensor data fusion .

Familiarity with

Docker, Kubernetes, and cloud‑to‑edge integration .

Experience deploying production software in

real‑time, high‑stakes, or defense‑oriented environments .

Passion for working on systems that have

direct real‑world impact and national‑level importance .

Compensation and Benefits

Base Salary:

$135,000 – $200,000 (commensurate with experience)

Equity:

RSUs

Benefits:

Comprehensive health, dental, and vision coverage, generous paid time off, 401(k) with employer match, and professional development support.

Work Model:

Hybrid; preference for Washington D.C., but open to strong candidates in other listed cities.

Why This Role Is Exciting

Mission‑Critical Impact:

Your work directly helps protect critical infrastructure and save lives through autonomous defense and edge AI technology.

Cutting‑Edge Engineering:

You’ll build and deploy software that runs on real‑world systems — from radar arrays to autonomous platforms.

Rapid Growth:

Join a high‑velocity team with strong funding and immediate, tangible impact across multiple high‑priority projects.

Multidisciplinary Collaboration:

Work at the intersection of

software, AI, hardware, and robotics

with some of the best engineers in the industry.

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