15+ years of progressive experience in complex network systems engineering, R&D;, and product development, with a significant portion in a leadership or Chief Engineer capacity for multi-disciplinary systems.
Deep and broad technical expertise across network system design and implementation, encompassing significant experience in at least two of the following areas, with a strong understanding of the others:
Software Engineering: Network protocols (e.g., IP, routing, transport layer), distributed systems, embedded networking, real-time operating systems, cybersecurity for networks, data link layer implementation.
Electrical Engineering: Digital communications, power systems for ruggedized network nodes, high-speed digital design for embedded processors, PCB design for communication systems.
Mechanical Engineering: Ruggedized enclosure design, thermal management for radios and processors, vibration/shock mitigation, integration of network hardware onto various platforms (airborne, ground, maritime, soldier-worn).
Cross-disciplinary systems integration experience, particularly bridging the gap between hardware and software for robust network performance in demanding environments.
Proven ability to define, architect, and lead the development of highly complex, integrated network systems from concept through deployment and sustainment.
Exceptional leadership skills with a track record of building, mentoring, and inspiring high-performing multi-disciplinary technical teams in fast-paced, challenging environments.
Demonstrated experience in strategic technical planning, roadmapping, and managing technical debt while delivering on aggressive schedules for networking products.
Strong problem-solving acumen, with the ability to break down highly ambiguous technical challenges related to network performance and resilience, and drive to practical, innovative solutions.
Excellent communication, presentation, and interpersonal skills to effectively convey complex technical concepts to diverse audiences, including executives, customers, and technical teams across different engineering disciplines.
Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related technical field. Master's or Ph.D. preferred.
Minimum Secret Security Clearance required. (Active TS/SCI strongly preferred).

SmartExplore AI is experimental.

Jobcase

Chief Engineer

Marriott

Potomac, MD 20854

Apply Directly

Chief Data Scientist TS SCI Clearance

Confidential

Washington, DC 20001

~ 30 min Onsite

TS SCI Clearance
Top Secret Clearance (TS/SCI Poly preferred)
PhD in Computer Science or similar STEM field.
Technical leadership in machine learning and natural language processing models suitable for production
A history of developing scalable machine learning models within federal frameworks
Strong team management experience
Proficiency in Python
Comfort working with LLMs, Generative AI, and AI Agents
Must possess deep expertise and leadership in data science.

SmartExplore AI is experimental.

Jobcase