Systems Engineer - Expert Level - Mission Intel
Springfield, VA
About the Job
Join Mission Intelligence Group as a Full Time Systems Engineer - Expert Level in Springfield, VA, where your expertise in High Performance Compute (HPC) management will play a pivotal role in shaping our innovative solutions. This key position offers the unique opportunity to work onsite, fostering a connected and collaborative environment with a team of passionate problem solvers. By implementing controls and managing multi-level security requirements, you will directly contribute to enhancing data integrity and delivering high-quality outcomes for our customers. Be part of a culture that values customer-centricity and excellence, where your contributions can lead to greatness. At Mission Intelligence Group, you will engage with diverse data and data sources, propelling both your career and the company's success.
You are eligible for great benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Flexible Spending Account, Competitive Salary, and Paid Time Off. Embrace this opportunity to innovate and excel in a dynamic, high-performance atmosphere!
Are you excited about this Systems Engineer - Expert Level?
At Mission Intelligence Group, we are actively seeking an expert-level Systems Engineer who excels in a multi-discipline approach to requirements engineering and solutions engineering. This key position emphasizes reliability, resiliency, and services development within the National System for Geospatial-Intelligence (NSG) and the Department of Defense/Intelligence Community (DoD/IC). You will leverage your extensive knowledge of High Performance Compute (HPC) management to define requirements and evaluate technologies for a platform that operates across multiple classification levels.
In our fast-paced, high-performance environment, you will oversee the full systems engineering lifecycle, from integration and test to evaluation and maintainability. It's essential that you are comfortable handling sensitive data and possess demonstrated knowledge of implementing controls to safeguard these data holdings, ensuring timely and accurate GEOINT outcomes in collaboration with our dedicated team.
Are you a good fit for this Systems Engineer - Expert Level?
To thrive in the Expert Level Systems Engineer role at Mission Intelligence Group, candidates must possess a Master's degree in computational mathematics with 18 years of experience or a PhD in the same field with at least 10 years in related technical or scientific disciplines like engineering or physics. A solid background in High Performance Compute (HPC) management is essential, including familiarity with current HPC technologies, ATO acquisition for HPC systems, and the application of HPC concepts to Space Situational Awareness. Successful candidates will demonstrate expertise in implementing Multi-Level security requirements for both physical and cyber environments, high-performance astrophysics-based applications, and private controlled cloud solutions. Experience with advanced data protection techniques such as CONMON, MAC, RBAC, and cross-domain solutions is critical.
Candidates should be adept at working with data and data sources across multiple classification levels and be skilled in employing analytics and quantifiable physics-based metric models for data analysis.
Duties include:
- Create strategic roadmaps to resolve potential gaps and manage costs
- Provide cross-domain integration with mission partners and industry performers to ensure successful implementation and execution of KPMO technology programs
- Manage the overall KPMO system transition process across the compendium of programs, project, pilots and initiatives
- Collaborating with end users, create use cases for individual KPMO projects at multiple security levels
- Maintain awareness of external (joint with mission partner) system tests and evaluate the potential impacts to PMO systems
- Demonstrated experience in direct support to the PMO to ensure continued technical excellence in all mission areas
- Responsible for ensuring the KPMO team is applying correct technical approaches to problem solving
- Identify and create plans to drive optimization within KPMO
- Assist KPMO in updates to the Portfolio Management Plan (PfMP) and Program Management Plans (PMPs)
- Assist in the evaluation of proposed industry solutions including program reviews (SRR, PDR, CDR, etc.)
- Identify risks, prepare and maintain a dependency matrix and provide recommendations for mitigation planning
- Participate as an advisor in demonstrations, prototype efforts, technology risk mitigators and source selection activities
- Produce test and transition-related inputs to the PMO Requirements Baseline
- Define and lead studies to evaluate innovative concepts and revolutionary technologies for application to KPMO requirements including large cross-domain studies and intelligence requirement assessments
- Determine state of the art, operational or technical feasibility to meet KPMO requirements
- Analyze and assess special topics and prepare technical recommendations
- Define CONOPs and metrics to evaluate algorithms
- Develop, articulate and validate use cases; develop and execute test and training plans
- Develop Testing & Evaluation (T&E) plans to assess the overall performance of algorithms and tools developed under NGA sponsorship
- Demonstrated experience in defining CONOPs and metrics to evaluate algorithms
- Ability to define targets and work with analysts on new types of targets
- Ability to define and implement interfaces to multiple external applications facilitating construction and refinement of SSA and Space collection requests across multiple orbital regimes
- Provide baseline requirements (RFC) support to include the full breadth of NGA and Joint (NGA-NRO) requirements coordination meetings and initiatives to transition R&D capabilities to KPMO operations
Required Skills and Experience:
- TS/SCI clearance adjudication or ability to obtain SCI and pass a poly.
- Master's degree in computational mathematics + 18 YOE or PhD in computation mathematics +10 YOE in related technical or scientific fields such as engineering, physics, computational chemistry or related STEM degree
- 18 years of technical experience is required
- Demonstrated experience in:
- High Performance Compute (HPC) management including current knowledge of HPC technology and applications, recent experience in obtaining ATO for an HPC system, and application of HPC concepts to Space Situational Awareness
- Implementing Multi-Level security requirements (physical and cyber), high performance astrophysics-based capacity, high performance visualization compute capacity, private controlled cloud solutions ,and AI compute and store
- Dealing with data and data sources that exist at multiple classification levels and integrating that data with computation processes that will generate additional data requiring multi-level protections
- Protecting data and implementing controls such as CONMON, MAC, CAD, ABAC, RBAC, RiBAC, PKI, SSO
- Cross domain solutions
- Employing analytics and quantifiable, physics based metric models for data analysis
- Data fusion models that assess confidence in data accumulated from multiple sources
- NRO/SAO or AF SPO offices
- Machine learning and Artificial Intelligence (AI) with RADAR and RF processing and for SSA
- Defining, designing and developing (SSA) applications.
- Space situational awareness, space-based sensors, and threat analysis (paraphrased like PD24).
- Space enterprise information needs (comprehensive, historical and indexed appropriately for down-stream tools), including space object observations, historical behavior and the relevant context of that behavior.
- Threats including SOSI, Radar and Optical sensors, Command and Control (C2), Offensive Space Control/Defensive Space Control (OSC/DSC).
- Dealing with data and data sources that exist at multiple classification levels and integrate that data with computational processes that will generate additional data at multiple classification levels.
- Employing security controls to protect assets, missions and data from multiple classification levels.
- Compliance to Integrated Protection Strategy (IPS) controls and data management procedures.
- Space environment and space to ground including threats to assets; track de-confliction of SSA and imaging windows with ground targets, understanding support of GEOINT Assurance.
- Employing analytics and quantifiable physics-based metric models in a timely manner.
- Development or operational use of any of the following SSA, space, I&W tools or tools with similar functions.
- Data fusion models that assess confidence in data accumulated and aggregated across multiple modalities and domains.
- Physics models to include the assessment of conservative/non-conservative forces, uncertainty/confidence estimation, weather effects, break-up events and conjunction analysis techniques that scale to many-on-many objects and can be dynamically tasked.
- Space object measurement and identification.
- Supporting SAO and related architectures.
- Implementing Spatial Temporal (4D) modeling, simulation, visualization and tasking services, analytical and exploitation tools and integrated security services.
- Fusing data.
- Multiple data collection techniques and an in-depth understanding of GEOINT phenomenology.
- Software development frameworks, photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics or related fields.
Desired Skills and Experience:
- Demonstrated experience with:
- Commercial visualization tools such as RemoteView, ENVI, MATLAB and SOCET GXP and the following standards:
- ANSI/EIA 632: Processes for Engineering Systems
- IEEE 1220: Standard for Application and Management of Systems Engineering
- IEEE 24765:2017 - Systems and Software Engineering - Software Life Cycle Processes
- ISO/IEC/IEEE 12207:2017 - Systems and Software Engineering - Software Life Cycle Processes
- ISO/IEC 15288: Systems Engineering - System Life Cycle Processes
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