Jobs at Shield AI

Staff Systems Engineer leading technical execution of next-generation autonomous aircraft (UAS) system architecture, including avionics, autonomy, propulsion, sensors, and mission-critical systems integration. Responsibilities include defining system requirements and behavior through model-based systems engineering (MBSE), conducting safety analyses (FHA, FMEA, FTA), trade studies, and ensuring compliance with military and aviation standards.…See more Requires 8+ years in aerospace/defense systems engineering, deep expertise in autonomy-driven flight systems, proficiency in MBSE tools (SysML, DOORS, CAMEO), and experience with Group 4/5 UAS or military aircraft platforms, including flight testing and DoD acquisition processes.

As a Senior Systems Engineer, you will lead the technical design and integration of autonomous aircraft systems for defense applications. You will own system architecture, avionics and autonomy integration, requirements definition and traceability, and cross-functional collaboration from initial design through flight testing and operational deployment.…See more The role demands deep expertise in aerospace systems engineering, model-based systems engineering (MBSE), DoD standards and certification, and autonomous flight systems operating in contested environments.

Senior Engineer, Software role focused on building and improving internal developer platforms, tools, and workflows at Shield AI. Responsibilities include bringing agentic AI into developer tooling, partnering with engineering teams to reduce friction, enabling collaboration through accessible tools and standards, and driving adoption through feedback and metrics.…See more The role requires 4+ years of software engineering experience with demonstrated expertise in developer tools, backend services, APIs, and distributed systems, plus strong systems thinking and cross-team collaboration skills. At the Staff level, the role expands to leading cross-team initiatives and shaping organizational approach to developer productivity.

Staff Software Engineer role focused on building autonomous trajectory planning and motion control software for single and multi-agent systems. The engineer will develop reliable, maintainable C++ software with Python for prototyping and testing, diagnose complex algorithmic and software failures, and take features from ideation through flight testing.…See more Requires a Master's degree in computer science or robotics (or PhD) with 5+ years of professional experience building and debugging motion planning, robotics, or autonomous systems software. The role includes mentoring junior engineers and collaborating across teams to refine requirements and deliver scalable autonomy architectures.

Senior AI Engineer building AI-powered learning systems for Shield AI's Hivemind autonomy platform. The role involves developing an AI training coach for context-aware guidance, creating tooling to generate technical workshops and curricula from learning objectives, and partnering with autonomy experts to produce assessments and labs.…See more Success is measured by shipped learning products, reduced time to technical proficiency, and demonstrated improvement in customer capability and product adoption.

Staff Platform Engineer at Shield AI will design, build, and operate highly available infrastructure platforms supporting mission-critical systems across cloud and on-prem environments. Responsibilities include improving CI/CD pipelines, developer platform tooling, and automation frameworks; implementing scalable solutions for compute, networking, identity, and storage; and partnering with security teams to embed controls and compliance into platform architectures.…See more The role requires 8+ years of hands-on platform engineering, DevOps, or SRE experience with deep expertise in Infrastructure as Code (Terraform, Ansible), Linux systems, distributed systems, and scripting/programming languages (Python, Go, Bash, PowerShell).

Staff Platform Engineer at Shield AI responsible for designing, building, and operating highly available cloud and hybrid infrastructure platforms supporting mission-critical systems. The role spans infrastructure-as-code development, CI/CD pipeline enhancement, developer tooling, and platform automation to accelerate engineering productivity.…See more Requires 8+ years of platform engineering, DevOps, or SRE experience with deep hands-on expertise in cloud infrastructure, networking, identity, storage, and infrastructure automation across Linux environments. Expected to partner with security teams on compliance and DevSecOps practices, establish scalable platform patterns, and lead complex platform initiatives across large-scale engineering organizations.

Lead planning, execution, and delivery of complex software releases for Hivemind Enterprise, a autonomy software platform used by Shield AI and third parties to build unmanned systems. Drive major test automation initiatives, manage large-scale test operations from CI through HIL and flight test, and collaborate across engineering, product, and customer teams to define scope, timelines, and resource allocation.…See more Requires 8+ years in program/engineering management or software test engineering with deep technical foundations in test engineering, software development lifecycle optimization, and complex HW/SW systems testing.

Staff Engineer responsible for building and integrating core platform infrastructure for autonomous systems across SIL, HIL, VIL, and edge deployment workflows. The role involves developing reference implementations, platform tooling, and developer infrastructure while integrating hardware, sensors, controllers, and APIs.…See more Requires 5+ years of software engineering in robotics, autonomy, or embedded systems; strong C++ and Python skills; and hands-on experience debugging across Linux systems, hardware interfaces, and embedded communication using diagnostic tools.

Shield AI seeks software engineer interns for a 10–12 week paid program, working on autonomous systems across applications, embedded firmware, machine learning, and systems development. Interns will analyze requirements, write production-quality code in languages like C++, Python, or Java, and ship real features using Agile practices alongside full-time engineers.…See more The role spans user-facing applications, embedded flight software, perception models, and platform tools that support autonomy pipelines. Candidates should have a strong foundation in data structures, algorithms, version control (Git), and collaborative development.

Senior Platform Engineer at Shield AI will design, build, and operate scalable platform infrastructure across Azure, AWS, and private cloud environments. The role centers on developing infrastructure-as-code modules, container/Kubernetes platforms, CI/CD pipelines, and self-service platform capabilities for engineering teams.…See more Requires 7+ years in platform engineering, DevOps, or SRE with hands-on expertise in Terraform, Ansible, Python/Go, Kubernetes, Linux systems administration, cloud networking, and production observability. The engineer will own platform initiatives end-to-end, lead root-cause analysis on complex issues, provide technical guidance, and participate in on-call rotations.

Senior Platform Engineer role focused on designing, building, and operating shared cloud technology platforms across Shield AI's public and private cloud environments. Responsibilities include developing standardized infrastructure, automation, and developer-facing capabilities, partnering with Engineering, DevOps, Infrastructure, Network, and Cybersecurity teams to deliver scalable, secure, and reliable platform services that reduce manual operations and improve developer productivity.See more

Senior Platform Engineer responsible for designing, building, and operating scalable platform infrastructure across Azure, AWS, and private cloud environments. You will develop infrastructure-as-code modules, container/Kubernetes platforms, and CI/CD capabilities while establishing platform standards for reliability, security, and cost efficiency.…See more The role requires 7+ years of platform engineering, DevOps, or SRE experience with hands-on expertise in Terraform, Ansible, Python/Go, Kubernetes, and Linux systems administration. You'll lead complex technical initiatives end-to-end, support on-call rotations, and provide technical guidance to other engineers on platform architecture and standards.

Lead Shield AI's Shared Services Engineering team as a technical manager responsible for building, hiring, and coaching engineers who deliver cross-product infrastructure, SDKs, APIs, and customer-facing systems. Define and execute the team's roadmap while remaining hands-on in architecture and complex engineering decisions, balancing customer needs, operational health, and long-term technical investment.…See more Establish secure, reliable, and well-documented interfaces for internal and external users, and communicate plans and tradeoffs across engineering, product, and leadership.

Design, build, and operate scalable platform infrastructure across Azure, AWS, and private cloud environments using infrastructure-as-code, Kubernetes, and automation tooling. Develop reusable platform capabilities, CI/CD pipelines, and self-service infrastructure for engineering teams.…See more Own platform initiatives end-to-end from technical design through production operations, including deployment automation, configuration management, observability, and lifecycle management. Requires 7+ years of platform engineering or DevOps experience, strong hands-on proficiency with Terraform, Ansible, Python/Go, Kubernetes, and Linux systems administration.

Shield AI seeks software engineering interns for a 10–12 week paid program working on autonomous systems across applications, embedded firmware, machine learning, and systems platforms. Interns will analyze requirements, write production-quality code, and ship real features alongside full-time engineers using Agile practices.…See more Candidates should have proficiency in modern programming languages (C, C++, Python, Java, or JavaScript), solid foundations in data structures and algorithms, version control experience, and strong problem-solving skills. The role offers hands-on mentorship and potential for a full-time offer upon completion.

Staff Engineer responsible for integrating autonomy software across simulation (SIL), hardware-in-the-loop (HIL), and flight environments. Will design and optimize integration workflows, CI/CD pipelines, and automation tooling; diagnose system defects using logs and telemetry; ensure cross-platform compatibility and system compliance; and collaborate with DevOps and development teams to streamline build-to-deploy cycles.…See more Requires 7+ years of experience (or equivalent with advanced degree), proficiency in Python or C++, expertise with CI/CD pipelines and HIL testing, and a strong background in autonomous systems or middleware.

This Principal Technical Product Manager role owns product definition, roadmap, and metrics for an agentic AI portfolio including an enterprise knowledge assistant, agent-driven engineering platform, and AI/data modernization products. The role requires translating CTO strategy into crisp requirements and KPIs, driving adoption of internal platforms, shaping product direction for foundation-model autonomy architectures, and conducting continuous discovery with engineers and stakeholders.…See more Success demands deep technical fluency (reading code, using APIs/CLIs, prototyping with AI tools), experience shipping developer tools or AI/ML products, working knowledge of LLM-based systems (agents, evaluation, fine-tuning), and exceptional written communication for strategy documents and executive briefs.

Shield AI seeks a Senior Engineer to build and expand test automation capabilities for V-BAT, an autonomous aircraft platform. You will work with GNC (Guidance, Navigation, and Control) and embedded systems teams to design test cases, implement software interfaces and drivers for simulation and hardware orchestration, and automate testing across autonomy, embedded systems, and ground control components.…See more The role requires strong C++ or Python skills, version control proficiency, and hands-on prototyping to support continuous release testing and flight test events.

Staff Engineer responsible for platform integration across simulation (SIL/HIL/VIL) and edge deployment workflows for autonomous systems. Will own reference implementations, developer tooling, and orchestration frameworks while integrating hardware, sensors, controllers, and APIs across Linux-based systems.…See more Requires 5+ years in robotics, autonomy, or embedded systems with strong C++ and Python skills, plus hands-on experience debugging embedded interfaces using oscilloscopes and protocol analyzers. Will partner cross-functionally to improve platform stability, scalability, and developer experience for mission-critical products.

Design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. Partner with Cybersecurity, Infosec, Build Engineering, and product teams to translate security and compliance requirements into practical engineering controls.…See more Work hands-on across infrastructure, containers, CI/CD systems, and platform services to reduce security risk while maintaining developer experience.

Shield AI seeks an experienced Site Reliability Engineer to establish and mature the SRE function across Hivemind's cloud infrastructure and platform services. This hands-on leadership role involves defining reliability targets (SLIs/SLOs), improving observability and incident response practices, investigating complex failures, and driving adoption of reliability-first engineering practices.…See more The SRE Lead will mentor teams, develop operational automation tooling, and manage the multi-quarter SRE roadmap while working closely with Cloud Engineering and product teams to enhance system resilience and operational excellence.

Senior Staff Engineer responsible for designing and building a Kubernetes-native MLOps platform that supports distributed AI training, reinforcement learning, and large-scale model development workflows. The role spans infrastructure architecture (GPU scheduling, compute optimization across cloud and on-premises), developer experience (self-service AI workflows), data and model lifecycle management, and cross-functional collaboration with ML researchers and autonomy teams.…See more Required expertise includes Kubernetes, PyTorch, distributed training systems, Terraform, Helm, Python, and Golang; preferred experience includes Ray, KAI, Slurm, and observability tools like Prometheus and Grafana.

Shield AI seeks a Senior Engineer to build test automation software for V-BAT autonomous aircraft and embedded systems. The role involves writing C++ or Python to define, automate, and execute test cases across autonomy, embedded, and ground control software; implementing drivers and interfaces for simulation environments and hardware; and prototyping solutions to unblock testing workflows.…See more You will work closely with GNC and embedded teams, support release test planning, and scale prototypes into continuous integration pipelines.

Senior Staff Engineer responsible for designing and building an MLOps platform that supports distributed AI training, reinforcement learning, and foundation model development at scale. You will architect Kubernetes-native infrastructure for GPU workloads, design self-service AI development workflows, manage the data and model lifecycle, and lead platform distribution across cloud, on-premises, and air-gapped environments.…See more The role requires deep expertise in modern AI frameworks (PyTorch, Hugging Face Transformers), distributed systems, GPU scheduling, and cloud-native infrastructure, with a focus on enabling researchers and engineers to move from experimentation to production rapidly.