div class="flex max-w-full flex-col grow">p>The Opportunity: CACI is looking for experienced Spacecraft Flight Software (FSW) Developers to provide NASA''s Orion FSW team at the Johnson Space Center with software skills in the development of flight software for NASA's next generation crewed spacecraft, Orion, which will carry astronauts to the Moon.
Finally, the most qualified candidate will be an articulate speaker able to communicate complex technical ideas in a convincing manner, must share our passion for our Nation''s Space Program, and share in the excitement of developing future human-rated space vehicles.
Houston, Texas12 days ago
ul>Leads multiple feature development or software applications with internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration.
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
p>Veterans and transitioning service members: this model - structured training, a clear mission, clearance-eligible work, relocation handled - is built for the way you already operate. You''ll spend 12 weeks in paid, hands-on training working real, team-based projects - then deploy directly to an enterprise or government client, effective day one.
By driving the development of intelligent, connected devices, the Senior Full Stack IoT Developer directly supports strategic initiatives in product innovation, operational efficiency, and customer experience. Customers’ emergency preparedness needs are met via Cardio Partners’ nationwide CPR training courses and state-of-the-art program management services.
li>AI-enabled, spec-driven workflow engineering (day-to-day): Use AI to accelerate real delivery by converting desk requirements into executable workflow specs (BDD-style scenarios), UI/API/event/data contracts, integration mappings, and automated tests-keeping documentation living, changes reviewable, and behavior traceable from requirement to release. Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.