GRVTY
Software Engineer, Senior
Herndon, Virginia, United States · Senior
No sponsorship$165k-$220kDetected 6 days ago
PythonJavaC++MATLABAlgorithmsGitCI/CDJenkinsLinuxMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData AnalysisData EngineeringData ScienceComputer VisionJiraElectrical EngineeringSignal ProcessingTest AutomationCommunication
About the role
- What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Herndon, Virginia.
- The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.
- This is not a role for someone looking to coast.
Responsibilities
- We deliver mission and technical expertise to outpace our adversaries.
- We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored.
- Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed.
Requirements
- Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
- Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
- Experience integrating algorithms into existing operational software suites.
- Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
- Experience with CI/CD practices, automated testing, and DevSecOps tooling.
Nice to have
- Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.
- Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
Skills
- Workplace Discrimination is Illegal (eeoc.gov)
Compensation
- At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
- We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
- Virginia Pay Range
- $165,000 - $220,000 USD
- Annual Paid Time Off and Paid Holidays
Benefits
- The toughest national security challenges demand vision and ingenuity, not just resources.
- That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Paid Parental Leave
Company info
- Active Top Secret clearance with ability to obtain SCI and CI polygraph.
- Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
- 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience with a Masters degree
- Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
- Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
- Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
- Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
- At GRVTY, we believe that when our employees thrive, our company thrives.
Equal opportunity
- GRVTY, is an Equal Opportunity Employer.
This listing is sourced directly from GRVTY's careers page and normalized into a canonical job model.