Job description

Required Qualifications: • Bachelor's Degree or higher in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field • 5+ years of software engineering experience with demonstrated proficiency in Python and C/C++ • Hands-on experience with Docker containerization, including writing Dockerfiles, multi-stage builds, dependency management, debugging container runtime issues, and working with hardware device passthrough (USB, GPU) • Experience building or maintaining CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) for automated build, test, and deployment workflows • Familiarity with Linux development environments, shell scripting, and standard build tools (CMake, Make, pip, conda) • Experience writing integration and regression tests for multi-component software systems • Working knowledge of Git version control, including branching strategies, merge conflict resolution, and repository hygiene in multi-contributor environments • Familiarity with REST API concepts and basic experience testing or implementing API endpoints • Ability to produce clear technical documentation: build instructions, interface notes, release checklists, and troubleshooting guides • US Citizenship Desired Qualifications: • Experience working on government-funded research programs (IARPA, DARPA, or equivalent), particularly in roles involving software delivery to independent evaluation teams • Experience with container security hardening, image scanning, or compliance requirements for government deployment environments • Familiarity with Agile development practices in a research or R&D context • Familiarity with generative AI/ML frameworks (PyTorch preferred), including packaging trained models for inference, running inference pipelines, and integrating model outputs into larger systems • Hands-on experience with software radio and GNU Radio (3.8+), including out-of-tree (OOT) module development, flowgraph construction, and integration with SDR hardware (Ettus USRP series preferred) • Experience with formal verification or formal methods tools (SMT solvers such as Z3, property-based testing, or symbolic regression tools such as PySR) • Experience integrating software from multiple external organizations with different coding styles, languages, and delivery formats • MS in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field • Willingness and ability to obtain a Secret security clearance We are seeking a Software Integration Engineer. This position is a hands-on engineering role responsible for building, testing, packaging, and maintaining the containerized software deliverables for programs with Test & Evaluation (T&E) components. This engineer will implement CI/CD pipelines, build and debug Docker containers, write integration tests, prepare code drops for leaderboard scoring, and help enforce coding standards across contributions from multiple subcontractor organizations. The right candidate is a strong software engineer who is comfortable working across the stack, from low-level C++ and Python to container orchestration and automated testing. Key Responsibilities: • Build, maintain, and troubleshoot Docker containers that package the full software system for delivery to T&E testbeds • Implement and maintain CI/CD pipeline stages including automated builds, unit tests, integration tests, static analysis, and artifact packaging using tools such as GitLab CI, Jenkins, or GitHub Actions • Prepare Monthly Code Drop (MCD) and quarterly Major Code Revision (MCR) packages, ensuring each release includes working containers, execution scripts, and updated documentation • Execute self-test leaderboard runs on internal hardware, validate scoring outputs, diagnose failures, and report results for inclusion in Monthly Status Reports • Write and maintain integration tests that verify software components from different subcontractor teams interoperate correctly when assembled into the unified container • Apply and enforce coding standards on incoming subcontractor code contributions, including inline comments, documentation, consistent formatting, and version control practices • Manage dependency resolution, version pinning, and reproducible build configurations so that containers produce identical results across development and evaluation environments • Prepare integration demonstrations and technical materials supporting Preliminary Design Reviews, Critical Design Reviews, site visits, and quarterly progress reviews • Maintain internal documentation including build procedures, known issues, interface specifications, and troubleshooting guides for the integration environment We are seeking a Software Integration Engineer . This position is a hands-on engineering role responsible for building, testing, packaging, and maintaining the containerized software deliverables for programs with Test & Evaluation (T&E) components. This engineer will implement CI/CD pipelines, build and debug Docker containers, write integration tests, prepare code drops for leaderboard scoring, and help enforce coding standards across contributions from multiple subcontractor organizations. The right candidate is a strong software engineer who is comfortable working across the stack, from low-level C++ and Python to container orchestration and automated testing. Key Responsibilities: • Build, maintain, and troubleshoot Docker containers that package the full software system for delivery to T&E testbeds • Implement and maintain CI/CD pipeline stages including automated builds, unit tests, integration tests, static analysis, and artifact packaging using tools such as GitLab CI, Jenkins, or GitHub Actions • Prepare Monthly Code Drop (MCD) and quarterly Major Code Revision (MCR) packages, ensuring each release includes working containers, execution scripts, and updated documentation • Execute self-test leaderboard runs on internal hardware, validate scoring outputs, diagnose failures, and report results for inclusion in Monthly Status Reports • Write and maintain integration tests that verify software components from different subcontractor teams interoperate correctly when assembled into the unified container • Apply and enforce coding standards on incoming subcontractor code contributions, including inline comments, documentation, consistent formatting, and version control practices • Manage dependency resolution, version pinning, and reproducible build configurations so that containers produce identical results across development and evaluation environments • Prepare integration demonstrations and technical materials supporting Preliminary Design Reviews, Critical Design Reviews, site visits, and quarterly progress reviews • Maintain internal documentation including build procedures, known issues, interface specifications, and troubleshooting guides for the integration environment Required Qualifications: • Bachelor's Degree or higher in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field • 5+ years of software engineering experience with demonstrated proficiency in Python and C/C++ • Hands-on experience with Docker containerization, including writing Dockerfiles, multi-stage builds, dependency management, debugging container runtime issues, and working with hardware device passthrough (USB, GPU) • Experience building or maintaining CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) for automated build, test, and deployment workflows • Familiarity with Linux development environments, shell scripting, and standard build tools (CMake, Make, pip, conda) • Experience writing integration and regression tests for multi-component software systems • Working knowledge of Git version control, including branching strategies, merge conflict resolution, and repository hygiene in multi-contributor environments • Familiarity with REST API concepts and basic experience testing or implementing API endpoints • Ability to produce clear technical documentation: build instructions, interface notes, release checklists, and troubleshooting guides • US Citizenship Desired Qualifications: • Experience working on government-funded research programs (IARPA, DARPA, or equivalent), particularly in roles involving software delivery to independent evaluation teams • Experience with container security hardening, image scanning, or compliance requirements for government deployment environments • Familiarity with Agile development practices in a research or R&D context • Familiarity with generative AI/ML frameworks (PyTorch preferred), including packaging trained models for inference, running inference pipelines, and integrating model outputs into larger systems • Hands-on experience with software radio and GNU Radio (3.8+), including out-of-tree (OOT) module development, flowgraph construction, and integration with SDR hardware (Ettus USRP series preferred) • Experience with formal verification or formal methods tools (SMT solvers such as Z3, property-based testing, or symbolic regression tools such as PySR) • Experience integrating software from multiple external organizations with different coding styles, languages, and delivery formats • MS in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field • Willingness and ability to obtain a Secret security clearance

Requirements

Must-haves

Required Qualifications: • Bachelor's Degree or higher in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field
5+ years of software engineering experience with demonstrated proficiency in Python and C/C++
Hands-on experience with Docker containerization, including writing Dockerfiles, multi-stage builds, dependency management, debugging container runtime issues, and working with hardware device passthrough (USB, GPU)
Experience building or maintaining CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) for automated build, test, and deployment workflows
Familiarity with Linux development environments, shell scripting, and standard build tools (CMake, Make, pip, conda)
Experience writing integration and regression tests for multi-component software systems
Working knowledge of Git version control, including branching strategies, merge conflict resolution, and repository hygiene in multi-contributor environments
Familiarity with REST API concepts and basic experience testing or implementing API endpoints
Ability to produce clear technical documentation: build instructions, interface notes, release checklists, and troubleshooting guides
US Citizenship
Desired Qualifications: • Experience working on government-funded research programs (IARPA, DARPA, or equivalent), particularly in roles involving software delivery to independent evaluation teams
Experience with container security hardening, image scanning, or compliance requirements for government deployment environments
Familiarity with Agile development practices in a research or R&D context

Nice-to-haves

Familiarity with generative AI/ML frameworks (PyTorch preferred), including packaging trained models for inference, running inference pipelines, and integrating model outputs into larger systems
Hands-on experience with software radio and GNU Radio (3.8+), including out-of-tree (OOT) module development, flowgraph construction, and integration with SDR hardware (Ettus USRP series preferred)
Experience working on government-funded research programs (IARPA, DARPA, or equivalent), particularly in roles involving software delivery to independent evaluation teams
Experience with container security hardening, image scanning, or compliance requirements for government deployment environments
Familiarity with Agile development practices in a research or R&D context
Familiarity with generative AI/ML frameworks (PyTorch preferred), including packaging trained models for inference, running inference pipelines, and integrating model outputs into larger systems
Hands-on experience with software radio and GNU Radio (3.8+), including out-of-tree (OOT) module development, flowgraph construction, and integration with SDR hardware (Ettus USRP series preferred)
Experience with formal verification or formal methods tools (SMT solvers such as Z3, property-based testing, or symbolic regression tools such as PySR)
Experience integrating software from multiple external organizations with different coding styles, languages, and delivery formats
MS in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field
Willingness and ability to obtain a Secret security clearance

Application prep

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Keywords to mirror

pythondockerci/cdrestapiagileaiml

Platform: peraton
Effort: medium

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