Signals Engineer II
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 103d ago
The date the source published, not the day we noticed it (2026-06-04). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The listing is tagged as above, but its own description restricts the role to United Kingdom. We show both rather than picking one. Read the ad before applying.
What the ad says
…locations: United Kingdom…
Pay
$119.1k–198.4k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 2h ago
The listing
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 Be Launching
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.
Your Mission (Should you choose to accept it)
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-flight Checklist
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
Minimum of a Secret Clearance is required
Bonus Cargo
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.