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Digital Signal Processing Engineer - Las Cruces, United States - Taleo BE
Description
The Integrated Solutions Division is seeking a Senior Software Engineer in Las Cruces, New Mexico to execute the software engineering function, including the design, development, testing, troubleshooting, and debugging of lab software programs for enhancements and new software-intensive systems and products.
This engineer will apply appropriate principles, standards, processes, procedures and tools throughout the software development life cycle of various lab tools and the integration of external tools into the lab environment.
Duties include rapid development of tools, algorithms, and prototype capabilities to support quick-response R&D against emerging issues.The candidate will join a team of developers that in aggregate across the enterprise, engineer, test and develop tool prototypes to advance processing technologies, analysis support, and mission operations.
He or she will leverage proficiency in software development using industry standard, open source, and emerging toolsets to perform rapid prototyping, experiment support and tool development to solve hard mission problems across multiple disciplines.
The candidate will interface with program, and lab leadership regarding critical matters impacting the lab, as well as project managers, systems engineers, and software developers across various disciplines on a regular basis, so good communications skills are a must.
Primary Responsibilities:
Perform software requirements analysis, analysis of hardware compatibility, development of software products and tools used for design, development and maintenance of prototypes
Develop highly innovative solutions through research and integration of best practices
Support enterprise lab efforts to innovate in high-performance computing.
Support enterprise lab efforts to innovate in cloud and virtual environments, facilitating migration of frameworks, processing, and data into a cloud environment utilizing Docker, Nomad, Consul, Kubernetes, Jenkins, and other related tools
Develop algorithms and software to correlate lab systems metadata and extracted content and correlate with external data sources to produce integrated data and results
Leverage knowledge to support R&D product engineering, operations support and transitions to limited and baseline operations.
Basic Qualifications:
Requires a BS degree in Electrical/Computer/Systems Engineering, Applied Mathematics, Computer Science, Physics or related field and years of prior relevant experience, or a Masters with years of prior relevant experience.
Knowledge and experience in COMINT, ELINT, and /or FISINT collection and processing
Knowledge and experience in one or more of: signals applications, signal data processing, prototype development and supporting transition of prototype to limited or baseline operations.
Knowledge of the HTTP 1.1, HTTP 2.0, HTTPS, and WebSocket protocolsAdvanced automated script design, coding, debugging, and maintenance skills (using bash, python, perl, etc.)
Strong verbal and written communications skills are required, as well as the ability to maintain professionalism in a diverse customer environments
Must possess an active TS security clearance at a minimum with a current CI polygraph
Preferred Qualifications:
Significant experience with cloud native technologies and security services
Experience with virtualized infrastructure environments (VMWare or equivalent)
Experience with Containerization (Docker) and Container Orchestration (Kubernetes)
Familiarity with AWS, Azure, and other cloud-based platforms
PKI management and user authentication SIGINT processing experience
Knowledge of SIGINT, GEOINT, and analysis experience.
Knowledge of X-MIDAS software
Security+ certification
Pay Range:
Pay Range $97, $176,250.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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