Design and implement scalable software systems, develop backend services and APIs, manage data pipelines, and ensure secure deployment of intelligent systems for autonomy.
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
As a Platform Software Engineer on the Hivemind Forge team, you will shape the infrastructure and tools enabling the development of advanced autonomy systems. You will contribute to the design of intuitive web applications, robust APIs, and developer-friendly SDKs that empower autonomy engineers to create, refine, and deploy Hivemind’s capabilities in both simulated and real-world environments. We seek engineers with a passion for building scalable, high-performance solutions and the technical expertise to deliver exceptional user experiences.
What You'll Do:
- Design and implement robust data models and database architectures to support distributed systems.
- Develop scalable backend services and APIs to power Forge’s infrastructure and tooling.
- Build systems for virtualization, containerization, and orchestration, ensuring optimal performance across cloud, on-premises, and local environments.
- Architect and deploy resilient infrastructure for managing high-throughput data pipelines and complex simulation workloads.
- Design and implement networked systems, integrating advanced protocols and middleware to enable seamless communication across autonomous agents and backend systems.
- Contribute to tools and infrastructure that support secure, efficient deployment of Forge on varied hardware platforms.
- Create and maintain clear, detailed documentation for internal and external users of Forge’s platform capabilities.
Required Qualifications:
- 8-15 + years of experience designing and delivering production-grade, scalable software systems.
- Advanced proficiency with Golang and Python for systems programming and backend development.
- 3+ years of experience with cloud computing platforms, container orchestration, and virtualization technologies (e.g., Kubernetes, Docker, VMware).
- Expertise in designing and optimizing relational databases, data models, and high-throughput pipelines.
- Strong understanding of network protocols (e.g., UDP, TCP) and hands-on experience with building distributed networked applications.
- Familiarity with systems programming concepts such as concurrency, performance optimization, and resource management.
- Experience deploying secure, reliable infrastructure in hybrid cloud and on-premises environments.
- BS/MS in Computer Science, a related field, or equivalent practical experience.
- Proven ability to work collaboratively, mentor team members, and deliver results in fast-paced, mission-driven environments.
Preferred Qualifications:
- Experience with Helm charts and automated infrastructure deployment tools.
- Familiarity with tools for low-level network analysis and debugging, such as Wireshark or Serf.
- Knowledge of CUE for configuration management and schema validation.
- Experience with virtualization platforms and hardware-in-the-loop (HIL) testing environments.
- Background in aerospace, defense, or another highly regulated industry with a focus on secure and compliant software practices.
- Proficiency in additional systems-level programming languages such as C++ or Rust.
- Hands-on experience with distributed systems, event-driven architectures, and canary deployments.
- Principal- $222,000-$333,000
- Senior Staff-$185,000-$278,000
- Staff- $156,000-$235,000
#LI-KC1
#LE
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.
Top Skills
C++
Docker
Go
Kubernetes
Network Protocols
Python
Relational Databases
Rust
VMware
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Mid-Market Sales Executive is responsible for selling BlackLine's SaaS platform, managing pipeline, achieving sales quotas, and developing client relationships.
Top Skills:
Finance/Accounting SoftwareSaaSSalesforce
AdTech • Digital Media • Marketing Tech
Develops and maintains local client relationships for advertising, analyzes market research, generates ad sales revenue, and provides marketing support.
Top Skills:
AdvertisingClient Relationship ManagementDigital ToolsMarket ResearchMedia Sales
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Account Executive is responsible for managing strategic accounts, nurturing customer relationships, and leading cross-functional teams to enhance Atlassian's presence in the public sector, particularly within the Defense Industrial Base.
Top Skills:
Analytic ToolsCRMPipeline Management
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
