Earth Is Our Runway
Shield AI Logo

Shield AI

Senior Staff Engineer, Systems Integration (R5415)

Posted An Hour Ago
Be an Early Applicant
In-Office
San Diego, CA
184K-275K Annually
Senior level
In-Office
San Diego, CA
184K-275K Annually
Senior level
Design and maintain C++ and Python software for complex cross-platform systems. Develop APIs, messaging interfaces, CI/CD workflows, and automated tests while integrating distributed real-time systems, simulation tools, and third-party hardware and software. Debug system-level issues involving threading, timing, and data flow, contribute to architecture, and collaborate across teams. The role requires active Secret clearance and supports potential progression to TS/SCI clearance.
The summary above was generated by AI
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedInXInstagram, and YouTube. 

This position is ideal for a C++ generalist who thrives on tackling complex challenges in systems and systems integration. If you enjoy building cross-language software, improving CI/CD pipelines, and integrating distributed real-time systems, you’ll find this role rewarding. Join a team that’s driving innovation through robust software engineering and practical integration work across simulation environments, third-party systems, and development workflows.

What You'll Do:

    • Design, implement, and maintain C++ and Python software in support of complex, cross-platform systems.
    • Contribute to system architecture with a focus on performance, maintainability, and integration.
    • Develop and support APIs and messaging interfaces (e.g., gRPC, REST, ZeroMQ).
    • Integrate third-party software and hardware systems, including real-time and simulation tools.
    • Debug and support distributed systems, with attention to threading, timing, and data flow.
    • Apply modern agile practices such as test-driven development, continuous integration, and automated testing.
    • Improve and maintain CI/CD workflows using tools like GitLab CI, Docker, CMake, and Conan.
    • Collaborate across teams and projects to share solutions and promote good software practices.
    • Continuously learn and adapt to new tools, standards, and technologies.

Required Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
  • Strong proficiency in modern C++ (C++14/17/20) with the ability to work effectively in legacy codebases (C++98/03).
  • Proficiency in Linux/Unix environments, including system-level development and debugging tools.
  • Experience with Python.
  • Professional experience in Linux environments (Windows experience is a bonus).
  • Solid understanding of system-level engineering and design patterns.
  • Experience in a collaborative environment with CI/CD and test automation.
  • Experience with containerization technologies such as Docker.
  • Active SECRET clearance.

Preferred Qualifications:

  • Experience integrating distributed simulation environments such as AFSIM or NGTS.
  • Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems.
  • Familiarity with simulation tools and modeling frameworks.
  • Experience with networking concepts and messaging infrastructure.
  • Hands-on experience with CMake, Conan, and GitLab CI/CD pipelines.
  • Exposure to real-time systems and hardware/software integration.
  • Ability to obtain a TS/SCI clearance.

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Similar Jobs at Shield AI

7 Hours Ago
In-Office
San Mateo, CA, USA
170K-310K Annually
Senior level
170K-310K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Owns the architecture of Hivemind Forge, an AI development ecosystem for building, training, evaluating, optimizing, and deploying autonomous capabilities. Defines system, software, data, API, SDK, MLOps, simulation, and deployment architectures across cloud, HPC, on-premises, classified, and disconnected environments. Establishes traceability, provenance, reproducibility, security, and human oversight for AI-assisted workflows while guiding cross-functional engineering teams and resolving architectural issues.
Top Skills: Ai AgentsAPIsCameo/MagicdrawContainerizationDistributed SystemsEdge ComputingExperiment TrackingFoundation ModelsGenerative AiHigh-Performance ComputingHybrid CloudInfrastructure As CodeKubernetesMbseMlopsModel RegistriesMulti-CloudS3-Compatible Object StorageSdksSlurmSysmlVision-Language ModelsVision-Language-Action ModelsWorld Models
Yesterday
In-Office
150K-230K Annually
Senior level
150K-230K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Designs and automates security controls across AWS infrastructure, containers, CI/CD systems, and platform services. Builds hardened container images, integrates vulnerability and configuration scanning, manages secrets and identity controls, automates compliance checks, and supports audit evidence. Diagnoses security weaknesses and drives remediation with engineering teams. At the Staff level, establishes reusable security patterns and promotes adoption across multiple teams while balancing security, reliability, and developer productivity.
Top Skills: AWSBashCi/CdContainerizationGoInfrastructure As CodePython
Yesterday
In-Office
190K-280K Annually
Senior level
190K-280K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability, lead incident response and root-cause analysis, improve resilience through automation and testing, and develop operational tooling. Partner with engineering teams on reliability requirements, establish incident practices, mentor engineers, and manage the short- and long-term SRE roadmap.
Top Skills: AWSGoKubernetesPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account