Job Overview
Location
Washington, D.C.
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Join a small, hands-on team building computer vision and wearable systems for defense and government applications
- • Deploy machine learning models on hardware-constrained devices with limited computational resources
- • Evaluate and customize open-source ML models to meet Reflex-specific performance requirements using quantization and MLOps practices
- • Build and train custom machine learning models tailored to specific customer use cases
- • Articulate technical trade-offs between different ML techniques and their suitability for embedded deployment
- • Develop intuitive, modern UI interfaces across multiple platforms to ensure seamless user experience
- • Manage user interaction workflows and optimize UX in close collaboration with hardware teams
- • Write low-level code to interact directly with hardware component drivers and peripherals
- • Develop software to enable and optimize wireless communication protocols including WiFi and Bluetooth
- • Ensure robust, reliable communication and performance across embedded systems under real-world conditions
- • Prototype rapidly and debug issues spanning both software and hardware layers
- • Work in a build-first, fast-paced startup environment with minimal bureaucracy and high autonomy
- • Collaborate hands-on with hardware engineers in lab settings, including occasional travel to testing facilities
- • Contribute to end-to-end development of embedded systems—from model training to firmware to user interface
- • Operate within a mission-driven culture focused on solving quiet, unaddressed problems that impact national security and stability
- • Work alongside strategic partners including Palantir, Anduril, and Helsing to deliver mission-critical technology
- • Maintain eligibility to obtain and maintain a U.S. security clearance; active clearance is preferred
🎯 Requirements
- • Strong experience in embedded systems, microcontrollers, and Linux development
- • Proven ability to deploy machine learning models on hardware-constrained devices
- • Experience writing low-level code and interacting directly with hardware drivers and wireless protocols (WiFi, Bluetooth)
- • Ability to prototype quickly and debug across software and hardware layers
- • Willingness to travel occasionally and work hands-on with hardware in lab environments
- • Eligibility to obtain and maintain a U.S. security clearance
🏖️ Benefits
- • Competitive salary with equity packages
- • Fully covered health, dental, and vision insurance
- • 401K plan with company contribution
- • Development stipends for professional growth
- • Unlimited PTO and two-week company-wide holiday at the end of each calendar year
- • Fertility benefits for employees beginning that journey
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Valinor Capital Management LP
Valinor Capital Management LP is a New York-based global investment firm founded in 2007. It operates long/short equity and credit strategies across public markets, focusing on fundamental research to uncover mispriced securities. The firm manages capital for institutions, family offices, and high-net-worth individuals, emphasizing concentrated, high-conviction portfolios with prudent risk management. Led by David Gallancy, Valinor combines deep sector expertise and analytical rigor to generate long-term, risk-adjusted returns while preserving capital across market cycles.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
DoiT International
3 months ago
Ddome Inc.
3 months ago
Stedi, Inc.
4 months ago
DoiT International
3 months ago