Signals Engineer II

Responsibilities

• Slingshot Aerospace cares deeply about our commitment to company values, mission, and purpose . The core competencies we will be looking to identify include: intellectual agility, ability to develop innovative solutions, leadership, performance-orientation, and industry expertise .
• Position Responsibilities:
• Develop, test, and validate mathematical models, numerical algorithms, prototypes, simulations, data analysis and data synthesis
• Learn about and work with a variety of data types, including raw or derived data originating from GNSS receivers, communications systems, radio frequency systems, and other space and ground-based sensing modalities, as well as any related data formats
• Assist in shaping and refining new and existing products
• Provide subject matter expertise to the capture teams in the review and evaluation of funding opportunities and the subsequent bid and proposal process
• Support product demonstrations, business development, customer engagement, and company outreach functions
• Author or co-author various forms of internal and external reports, presentations and documents, including journal and/or conference papers
• Attend industry events to present the findings of your work and network with industry leaders
• Perform other duties as assigned (to be less than 10% of the responsibilities listed above)
• Pre-Requisites
• Must be a U.S. citizen eligible for government clearances

Requirements

• MS in Electrical Engineering, Aerospace Engineering, Mathematics, or other relevant field, or B.S. degree in related fields with 4+ years of experience in signal processing
• Experience with signal processing for GNSS, Radar, RF, or other types associated with space-based or supporting ground segment systems
• Experience with statistical methods for signal and data processing
• Demonstrated experience in modeling and simulation
• Proficiency with one or more programming/scripting languages
• (Python, Java, Kotlin, C++)
• Proficiency with software version control environments (e.g. git)
• Strong verbal communication and technical writing skills
• Comfortable with remote work in a rapidly moving startup environment
• Preferred Skills
• Familiarity with algorithms and techniques for detection, estimation, tracking, navigation
• TS/SCI eligible
• Experience with machine learning methods
• Peer-reviewed publications in a related area
• Demonstrated experience with the application of machine learning and/or artificial intelligence methodologies
• Demonstrated experience in space domain applications
• Location: Remote, United States
• Classification: Full-time Exempt
• Compensation: $119,110-$198,400
• Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time.

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