TS/SCI Embedded Edge AI Engineer — Hybrid Remote

VELOX RESEARCH, LLC; Reston (VA); Hybrid; USD 190,000 - 220,000; Full time

Benefits offered by this job

Equity options

15% SEP IRA contribution

401(k) matching

Health insurance

HSA access

Generous PTO

Flexible scheduling

Relocation assistance

Immediate leadership potential

Job summary

Velox Research, LLC is seeking a highly skilled Embedded Systems & Edge AI Engineer to design and optimize low-level Linux and hardware integrations for rugged, field-ready deployments in Reston, VA. The role requires on-site work with a strong focus on security and embedded platforms.

You will deploy AI/ML capabilities on offline edge devices, integrate RF/communications pipelines, and collaborate with IC clients on prototypes and operational solutions.

Qualifications

• Active TS/SCI clearance required and on-site Reston, VA work.
• Experience with embedded systems and Linux including kernel configuration and low-level architecture.
• Proficiency in C/C++, Python, and Bash scripting.

Responsibilities

• Develop and optimize low-level Linux and hardware integrations, including kernel fixes, drivers, and acceleration across x86, ARM, SoC, and RISC-V.
• Deploy open-source AI/ML on rugged, offline edge devices and single-board computers.
• Integrate software-defined radios, RF, WiFi, and cellular into field-ready data pipelines.
• Collaborate with IC clients to understand requirements, build embedded prototypes, and present solutions in operational settings.
• Maintain air-gapped labs, hardware test benches, and secure network infrastructure.

Skills

TS/SCI clearance

Embedded systems

Linux

C/C++

Python

Bash scripting

Open-source awareness

Independent research

Defense/secure environments

Tools

C/C++

Python

Bash

Linux kernel

Device drivers

Arduino

NVIDIA Jetson

Raspberry Pi

GitHub

HuggingFace

Kaggle

Job description

Velox Research, LLC is seeking a highly skilled Embedded Systems & Edge AI Engineer to design and optimize low-level Linux and hardware integrations for rugged, field-ready deployments in Reston, VA. The role requires on-site work with a strong focus on security and embedded platforms.

You will deploy AI/ML capabilities on offline edge devices, integrate RF/communications pipelines, and collaborate with IC clients on prototypes and operational solutions.