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Anthony . Anthony .

Director of Engineering

Northern Virginia (On-Site)
Compensation: Competitive salary based on experience

About the Role:
Join a pioneering team as the Director of Engineering, leading the development of cutting-edge wireless communication and sensing solutions for both government and commercial sectors. Ideal for leaders with DOD experience and a proven track record in shipping production products.

Location: Northern Virginia
Compensation: Competitive salary based on experience

About the Role:
A fast-growing technology company is seeking a Director of Engineering to spearhead the development of advanced wireless communication and sensing systems. This leadership role involves managing multidisciplinary engineering teams to deliver innovative solutions for government and commercial applications. The ideal candidate will excel in dynamic environments and possess a strong background in dual-use engineering.

Responsibilities:

  • Lead engineering teams to develop integrated hardware and software solutions.

  • Oversee the design, implementation, and deployment of cutting-edge technologies.

  • Manage projects for dual-use applications in government and commercial sectors.

  • Shape team culture and processes in a fast-paced, growth-oriented environment.

  • Collaborate with stakeholders to ensure product success in challenging environments.

Required Qualifications:

  • U.S. Citizenship with the ability to obtain a security clearance.

  • Proven experience in shipping and maintaining production-grade products.

  • Expertise in managing projects in DOD or classified environments.

  • Strong leadership and communication skills for diverse teams.

Preferred Qualifications:

  • Knowledge of embedded systems, software-defined radios, RF signal processing, and cybersecurity.

  • Familiarity with machine learning and cloud-based technologies.

  • Experience conducting Preliminary Design Reviews (PDRs) and Critical Design Reviews (CDRs).

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Anthony . Anthony .

RF Embedded Systems Engineer

Northern Virginia (On-Site)
Compensation: $130,000 - $160,000 annually, based on experience

About the Role:
Join a leader in advanced communication and sensing technologies as an RF Embedded Systems Engineer. Develop and deploy state-of-the-art embedded systems for government and commercial applications, tackling complex challenges in innovative ways. Perfect for experts in RF, signal processing, and software-defined radios.

Location: Northern Virginia (On-Site)
Compensation: $130,000 - $160,000 annually, commensurate with experience

About the Role

A pioneering organization in advanced communication and sensing technologies is seeking an RF Embedded Systems Engineer. This role involves developing and deploying cutting-edge embedded systems for applications in government and commercial sectors. You’ll work on innovative solutions that operate in the most challenging environments, creating systems that push the boundaries of existing communication technologies.

Responsibilities

  • Design, develop, and deploy embedded systems with a focus on RF and signal processing.

  • Build mesh networks and ensure systems meet rigorous physical and cybersecurity standards.

  • Collaborate with cross-functional teams to bring innovative solutions from concept to production.

  • Develop experimental setups and test capabilities for new product features.

  • Contribute to system design reviews and refine processes to enhance product performance.

Required Qualifications

  • U.S. Citizenship and eligibility to obtain a security clearance.

  • Proven expertise in embedded systems development, including:

    • RF engineering and signal processing.

    • Software-defined radios (SDRs).

    • Power management and hardware integration.

  • Hands-on experience deploying embedded systems in production environments.

  • Strong skills in collaborative problem-solving and technical communication.

Preferred Experience

  • Cybersecurity expertise related to embedded systems in sensitive environments.

  • Noise filtering and advanced signal processing techniques.

  • Experience implementing machine learning models, particularly reinforcement learning.

  • Field-ready professionalism for customer-facing engagements.

Compensation

A competitive salary and benefits package will be offered based on experience and expertise.

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