Staff Engineer, C++ Systems Integration (R4018) at Shield AI

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, Aerospace, Autonomous SystemsIndustries

Requirements

Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases
Proficiency in Linux/Unix environments, including system-level development and debugging tools
Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces
Significant experience with CI/CD systems, containerization (e.g., Docker), and build tooling (e.g., CMake, Conan)
Proficiency in Python and familiarity with other scripting and automation tools
Deep knowledge of Linux environments (Windows experience is a bonus)
Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship
Strong understanding of networking concepts and communication protocols
Active SECRET clearance

Responsibilities

Architect and implement high-performance C++ and Python systems across cross-platform environments
Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software
Define and enforce technical direction, design patterns, and integration practices across projects
Guide teams in building robust messaging and API layers (e.g., gRPC, REST, ZeroMQ) that bridge critical system components
Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake
Lead debugging and optimization of real-time and multi-threaded systems across a range of domains
Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems
Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements
Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency

Skills

Key technologies and capabilities for this role

C++PythongRPCRESTZeroMQGitLab CIDockerConanCMakeCI/CDDistributed SystemsSimulationMulti-threaded SystemsAPIs

Questions & Answers

Common questions about this position

What experience level is required for this Staff Engineer role?

Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.

What are the key technical skills needed for this position?

Advanced experience with C++14/17/20 (and legacy C++98/03), proficiency in Linux/Unix, systems integration with distributed systems and real-time processing, CI/CD with Docker/CMake/Conan/GitLab CI, and Python proficiency.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What leadership experience is required?

Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.

Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.

Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.

Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.

Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.

Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.

Significant investment in robotics indicates a robust market for Shield AI's offerings.

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