Solutions Architect

Job Number:
645281_Ann Arbor
Job Category:
Scientist / Research & Development
Yes, 25% of the time
Day Job
Potential for Teleworking:
Clearance Level Must Currently Possess:
Clearance Level Must Be Able to Obtain:
Top Secret/SCI
The Advanced Solutions Group (ASG) at Leidos currently has an opening for a Solutions Architect specializing in Autonomous Systems.  Locations include Arlington, VA, Dayton, OH, or Ann Arbor, MI.  The Autonomous Systems Solutions Architect will lead a team of engineers addressing mission analysis, communications, human interfaces, multi-domain command and control, autonomous and machine learning algorithms, and test, evaluation, verification and validation techniques.  This is a high-visibility, fast-paced environment with opportunities to work a variety of mission spaces and applications.

Roles and Responsibilities:
- The successful candidate will provide research direction and project leadership, develop innovative concepts for further exploration, and implement solutions that extend the state of the art for applications that range from control of unmanned systems to automatic image recognition.
- The Architect will direct cross-disciplinary efforts to develop advanced autonomous solutions based on open systems architectures that address a broad range of mission requirements. 
- The Architect will work closely with customers, understanding emerging customer requirements, providing strong thought leadership on behalf of Leidos that helps focus and shape new programs and new concepts, and effectively describing innovative solutions.
- The Architect will leverage a range of techniques in developing these solutions, including modeling and simulation, computer vision, machine learning, human-machine teaming, and multi-agent systems.
- The Architect will provide technical leadership to a dynamic team of researchers, developers, and industry and academic partners with diverse technical skills and background across multiple CONUS locations to develop innovative autonomous solutions.
- We are seeking individuals with a unique blend of research and operational experience, in order to apply autonomy and machine learning approaches to the problem of safe and robust navigation of complex and uncertain real-world environments given sparse or limited training data.  

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below
- Bachelor's Degree in Computer Science or a related discipline, with at least 12 years of applicable experience.
- Must have a Secret security clearance with the ability to obtain a TS/SCI clearance.
- Knowledge of ISR systems and operations, ranging from unmanned aerial systems to innumerable sensors, platforms, and processing systems operating in military environments 
- At least five years of specialized experience developing real-world autonomous systems. 
- Experience with human-machine teaming/interaction
- Knowledge of state-of-the-art methods coupled with the creativity and intelligence to advance beyond them
- Research / integration experience in one or more of the following technology areas: Planning, Autonomous Navigation, Multi-Agent Systems, Computer Vision, or Human-Machine Teaming
- Leadership abilities necessary to lead projects.

Preferred Qualifications:
Candidates with these desired skills will be given preferential consideration
- TS/SCI clearance
- PhD in Computer Science or related discipline, or MS in Computer Science or related discipline with extensive experience in Autonomy, Machine Learning, or Artificial Intelligence.  
- Track record of relevant publications in peer-reviewed conferences and journals.
- Familiarity with Open Architectures and Systems of Systems Technologies
- Familiarity with AF loyal wingman capabilities
- Experience with STANAG 4586
- Familiarity low-cost aerial systems, data analytics, cyber defense, human-machine interaction, and efficiency-related technologies, with focus on DoD perception, artificial intelligence, and robotics R&D 
- Experience with developing autonomy for platforms intended to operate in complex environments with special consideration for adversarial behaviors
- Experience developing metrics, standards, methodologies, and approaches for TEV&V, including modeling & simulation, 
- Familiarity with machine learning, including existing tools / libraries (e.g., CUDA, Caffe, Theano, Torch, Nvidia Digit )
- Strong, hands-on experience developing solutions programming language, e.g. Python, Perl, C/C++, Java

External Referral Eligible

Leidos Overview:
Leidos is a global science and technology solutions leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems & Global Solutions business (IS&GS). For more information, visit www.Leidos.com. The company’s diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an Equal Opportunity Employer.
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