Spear AI

United States
80 Total Employees

Jobs at Spear AI

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Recently posted jobs

11 Days AgoSaved
In-Office
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
Develop and deploy signal-processing algorithms for maritime sensor and sonar systems, including detection, estimation, beamforming, array processing, modeling, and real-time embedded implementation. Collaborate with hardware, software, acoustics, and machine-learning engineers; validate algorithms using real-world data; define sensor and signal-chain requirements; document performance; and participate in laboratory and at-sea testing and deployments.
21 Days AgoSaved
Remote
United States
Big Data • Hardware • Machine Learning • Software • Defense
Design and build data-rich product interfaces for a maritime acoustic data platform, from concept through production. Improve user flows, champion accessibility and performance, shape scalable design systems, conduct design audits and code reviews, mentor teammates, and help establish Design Engineering practices. The role combines frontend implementation, product and UI design, component architecture, and collaboration with product and engineering teams.
One Month AgoSaved
Hybrid
Keyport, WA, USA
Big Data • Hardware • Machine Learning • Software • Defense
Build and integrate systems for a maritime AI platform. Engage with customers on-site, optimizing data processing and application performance, while ensuring code quality and correctness.
One Month AgoSaved
In-Office
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
Join the Spear AI team as a Mechanical Engineer focusing on design, prototyping, and operational testing of unmanned maritime sensor systems. Collaborate with a cross-functional team, mentor junior engineers, and ensure designs comply with maritime operational standards while optimizing for manufacturing processes and reliability.
One Month AgoSaved
In-Office
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
Design, implement, and deploy cloud and air-gapped infrastructure using IaC (Pulumi/Terraform). Build CI/CD and DevSecOps pipelines, manage containers (Docker, Kubernetes, Podman), monitor systems, enforce CMMC, troubleshoot on-site with customers, and support RHEL/bare-metal environments. Travel to customer sites and partner with customer engineering teams to integrate and resolve mission-critical infrastructure issues.
Big Data • Hardware • Machine Learning • Software • Defense
Build and operate real-time and batch data pipelines for maritime domain awareness. Parse binary sensor and SONAR data, design high-performance data warehouses, validate and normalize sources, and improve local development and CI/CD. Work on-site with customers, write production-quality code, and integrate systems to support mission-critical deployments.
One Month AgoSaved
In-Office
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
The Embedded DevOps Engineer will develop CI/CD pipelines, improve provisioning systems, and coordinate with both embedded software and hardware teams, participating in at-sea testing and deployments.
One Month AgoSaved
In-Office or Remote
Washington, DC, USA
Big Data • Hardware • Machine Learning • Software • Defense
Own and drive full proposal lifecycle for government solicitations (RFPs, RFIs, IDIQs, SBIR/STTR, OTAs, etc.), ensure FAR/DFARS compliance, draft technical and operational content, interview SMEs, coordinate stakeholders and primes/subcontractors, manage timelines and final submissions, and continuously improve proposal processes and throughput.
One Month AgoSaved
In-Office
Washington, DC, USA
Big Data • Hardware • Machine Learning • Software • Defense
Provide COCOM-level all-source analytic expertise, fuse multi-INT data into operational understanding, translate analytic processes into developer-ready requirements, coordinate across users and engineers, integrate all-source workflows with AI-enabled capabilities, and communicate tradecraft and data constraints to technical and non-technical stakeholders.
One Month AgoSaved
In-Office
Washington, DC, USA
Big Data • Hardware • Machine Learning • Software • Defense
Provide operational targeting expertise across the Joint Targeting Cycle, translate targeting processes into developer-ready requirements, coordinate across users and technical teams, assess integration opportunities with AI capabilities, and maintain theater-level targeting awareness while supporting platform and data governance.
One Month AgoSaved
In-Office
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
Coordinate technical integration between engineering and DoD customers: secure access, schedule tests, stand up environments, validate software against requirements, document outcomes, manage stakeholders, and surface integration risks to keep programs on schedule.
One Month AgoSaved
Hybrid
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
You will design and implement cloud architecture, develop Infrastructure as Code, build CI/CD pipelines, and enforce compliance policies.
One Month AgoSaved
Hybrid
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
The Infrastructure Engineer will design and implement cloud architecture, develop Infrastructure as Code, manage CI/CD pipelines, and ensure compliance while working on maritime domain awareness projects.
One Month AgoSaved
In-Office
Washington, DC, USA
Big Data • Hardware • Machine Learning • Software • Defense
Serve as the bridge between operational targeting and AI capability development: identify integration opportunities across the Joint Targeting Cycle, translate targeting workflows into developer requirements and user stories, advise on architecture and tradeoffs, coordinate across users and developers, and maintain theater-level targeting awareness to accelerate delivery to warfighters.
One Month AgoSaved
In-Office
2 Locations
Big Data • Hardware • Machine Learning • Software • Defense
Design, modernize, and containerize combat system software: translate C/C++ to Rust, implement formatting/linting/testing, deploy with Docker/Kubernetes, replace messaging with Redpanda/Protobuf, create IaC and CI/CD pipelines, and improve developer tooling.