Senior Signals Engineer

Summary

Join Slingshot as a Senior Signals Engineer and contribute your expertise to research and product initiatives focused on novel signal and data processing for space systems. You will collaborate with engineering, data science, and astrodynamics teams to transition developed technologies into Slingshot's digital engineering products. Responsibilities include developing and validating mathematical models, working with various data types, assisting in product refinement, providing subject matter expertise, supporting product demonstrations, and authoring reports. This remote, full-time position offers a competitive salary and requires a PhD or equivalent experience in a relevant field, along with specific signal processing and software skills. Preference is given to candidates with experience in machine learning and space domain applications.

Requirements

• Must be a U.S. citizen eligible for government clearances
• PhD in Electrical Engineering, Aerospace Engineering, Mathematics, or other relevant field, MS degree in related fields with 4+ years of experience in signal processing, or B.S. degree in related fields with 8+ years of experience in signal processing for relevant applications
• 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

Responsibilities

• Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose
• 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)

Preferred Qualifications

• Familiarity with algorithms and techniques for detection, estimation, tracking, navigation
• 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

Benefits

• Compensation: $153,000-$235,000
• Location: Remote
• Classification: Full time Exempt (learned professional exemption)