Signals Engineer II

Posted Yesterday
Hiring Remotely in United States
Remote
119K-198K Annually
Mid level
Aerospace • Artificial Intelligence • Analytics • Defense
The Role
Develops, tests, and validates signal-processing models, numerical algorithms, simulations, prototypes, and data analyses for space systems. Works with GNSS, communications, RF, radar, and other sensing data; collaborates with engineering, data science, and astrodynamics teams; supports product development, proposals, demonstrations, customer engagement, technical publications, and industry events. A minimum Secret clearance is required.
Summary Generated by Built In
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.

Skills Required

  • Master’s degree in Electrical Engineering, Aerospace Engineering, Mathematics, or a related field
  • Alternatively, a bachelor’s degree in a related field with 4+ years of signal-processing experience
  • Experience with signal processing for GNSS, radar, RF, or related space-based or ground-segment systems
  • Experience with statistical methods for signal and data processing
  • Demonstrated experience in modeling and simulation
  • Proficiency with one or more of Python, Java, Kotlin, or C++
  • Proficiency with software version-control environments such as Git
  • Strong verbal communication and technical writing skills
  • Comfort working remotely in a rapidly moving startup environment
  • Minimum Secret security clearance
  • Familiarity with detection, estimation, tracking, or navigation algorithms
  • TS/SCI eligibility
  • Experience with machine-learning methods
  • Experience applying machine-learning or artificial-intelligence methodologies
  • Experience in space-domain applications
  • Peer-reviewed publications in a related area
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
223 Employees
Year Founded: 2017

What We Do

Slingshot Aerospace develops Space Operations Intelligence and Autonomy solutions for defense, commercial, and sovereign space operators. Its integrated platform combines sensor data, data fusion, simulation, AI-driven analytics, and mission workflows to create a real-time operational picture of the space domain. The company supports space-object awareness, maneuver planning, anomaly response, mission coordination, training, and increasingly autonomous execution, helping customers protect assets and operate with greater confidence.

Similar Jobs

PNC Bank Logo PNC Bank

Architect

Machine Learning • Payments • Security • Software • Financial Services
Remote or Hybrid
USA
55000 Employees

Dynatrace Logo Dynatrace

Customer Success Manager

Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Remote or Hybrid
Detroit, MI, USA
5600 Employees
76K-95K Annually

Dynatrace Logo Dynatrace

Senior Customer Success Manager

Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Remote or Hybrid
Detroit, MI, USA
5600 Employees
91K-114K Annually

Boeing Logo Boeing

UAS Operator 3 (Remote/Deployed)

Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
In-Office or Remote
Bingen, WA, USA
170000 Employees
30-42 Hourly

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software • Productivity
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account