Signals Engineer II (Secret Clearance)
Role summary by JobGrid
Signals Engineer II (Secret Clearance) at Slingshot Aerospace: Remote, United States; IT; Data Science & ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, United States
- Role classification: IT, Data Science & ML
- Source freshness: checked by JobGrid on 2026-06-10.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Meet Slingshot
At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software.
We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere—whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place.
What You’ll Do:
As a Signals Engineer, you will provide subject matter expertise in support of the ideation, planning, and execution of research and product initiatives focused on novel signal and data processing for space systems and space domain applications. You will work in tandem with the Engineering, Data Science, and Astrodynamics teams to help transition technologies and capabilities you develop into Slingshot digital engineering products.
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
Minimum of a Secret Clearance is required
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 OR Colorado Springs, Colorado preferred
Relocation: Relocation support available
Classification: Full-time Exempt
Compensation: $119,110-$198,400
US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time.
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.
Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.