Space Programs Engineering
The SMX Space and Intelligence (S&I) Business Unit is on the ground floor of the future remote sensing ecosystem across all orbital regimes (LEO, MEO, HEO, and GEO). We build, integrate, and operationally support our customers’ emerging space-ground systems to include real-time data processing frameworks, sensor data processing, and data visualization. SMX teams with the most passionate companies in industry to bring best-of-breed capabilities that address our customers’ most pressing needs.
These positions are located in the Greater Denver Colorado area. Relocation assistance is available.
Find Your Next Career at SMX
Cloud Software Engineer (5006) (Broomfield, CO) (Secret)
Infrastructure as a Service (IaaS) Engineer (5017) (US, DC, Tampa, San Antonio) (Secret)
Infrastructure as Code (IaC) Automation Engineer (5001) (US, DC, Tampa, San Antonio) (Secret)
Integration and Test Engineer (Secret to TS) (4833)
Mid Full Stack Engineer (5000) (Secret) (Broomfield, CO)
Network Systems Engineer (5016) (US, DC, Tampa, San Antonio) (Secret)
Principal Network Engineer (5010) (US, DC, Tampa, San Antonio) (Secret)
Product Quality/Image Quality Analyst (TS/SCI CI Poly) (4577)
Redhat Openshift Engineer (5013) (US, DC, Tampa, San Antonio) (Secret)
Senior Data Center Engineer (5014) (US, DC, Tampa, San Antonio) (Secret)
To contact our Talent Acquisition team directly, reach out to [email protected].
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Our Values
Quality + Integrity in Everything We Do
Invest in our people
Cultivate belonging
Clients first
Communicate transparently
Adapt deliberately
Federal Notices
Download the PDFs linked below to learn more about how SMX complies with various employer laws and regulations.
E-Verify Participation
EEO is the Law
EEO is the Law Supplement
Pay Transparency Statement
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.



