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
- Must be a U.S. citizen eligible for government clearances
- MS in Electrical Engineering, Aerospace Engineering, Mathematics, or related field, or B.S. with 4+ years signal processing experience
- Experience with signal processing for GNSS, Radar, RF, or related space/ground 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
- Familiarity with detection, estimation, tracking, navigation algorithms and techniques
- TS/SCI eligible
- Experience with machine learning methods
- Peer-reviewed publications in a related area
- Demonstrated experience applying machine learning and/or artificial intelligence methodologies
- Demonstrated experience in space domain applications
Slingshot Aerospace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Slingshot Aerospace and has not been reviewed or approved by Slingshot Aerospace.
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Fair & Transparent Compensation — Pay is considered competitive for key roles, especially in engineering and sales, supported by publicly posted ranges and role descriptions. Descriptions of compensation characterize base pay as fair to above average.
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Healthcare Strength — Health coverage is described as comprehensive, with materials emphasizing robust medical, dental, and vision options. Plan quality is portrayed as strong and cost-effective.
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Leave & Time Off Breadth — Flexible or unlimited PTO is prominently offered alongside a remote-first setup. Usage is generally seen as flexible, subject to team norms.
Slingshot Aerospace Insights
What We Do
Slingshot Aerospace builds world-class space simulation and analytics solutions. We are driven by our vision of accelerating space sustainability to create a safer, more connected world. Space is increasingly complex due to the exponential growth of global launch activity, the proliferation of new data sources, and the ever-growing body of new satellites and debris. Organizations are making mission-critical decisions in this high-risk environment and they need the right information at the right time. Slingshot Aerospace empowers government and commercial space organizations to better design, manage, and safeguard their assets, as well as mitigate risks, to ensure safe and reliable operations for all space-faring users. We are achieving this by bringing the space domain into the digital environment and fusing together data from different sources to provide a full, dynamic orbital picture. In doing so, Slingshot Aerospace customers can make decisions at the speed of relevance and achieve clarity in complex environments.
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