Role Description Firestorm is building the next generation of uncrewed aircraft and the advanced manufacturing systems that deliver them at speed. The Software Integration & Operations department owns the software layer that spans factory floor to cloud - the applications, automation, edge systems, and intelligence that make it possible to iterate product designs, automate advanced manufacturing, and scale production with uncompromising quality and rigor. Firestorm's manufacturing platform has an intelligence layer - a planning workbench, a simulation engine, an analytics surface, and eventually an AI assistant - that turns operational data into better decisions. Building this layer requires applied math, pragmatic ML systems engineering, and a deep understanding of the manufacturing domain it serves. As an Applied AI & Optimization Engineer, you will own the algorithms and systems behind this intelligence layer. Near-term, your focus is the planning workbench and simulation engine: - Optimization algorithms for work order scheduling, resource allocation, and conflict resolution. Longer-term, you will lead integration of open-source and custom LLMs into the platform's AI assistant - including air-gapped and on-edge deployments for DoD contexts. What You'll Do: - Own the optimization algorithms behind the planning workbench and simulation engine - scheduling, resource allocation, constraint satisfaction, conflict detection. - Design and implement the analytics layer of the platform: defect trends, yield analytics, throughput modeling, and operational intelligence. - Lead the platform's AI assistant integration: selecting, evaluating, deploying, and fine-tuning open-source or custom LLMs for cloud, air-gapped, and on-edge contexts. - Productionize optimization and ML systems in partnership with full-stack and infrastructure engineers - reliable services the platform depends on, not prototypes. - Partner with domain experts in manufacturing engineering, quality, and planning to ground models and algorithms in real operational constraints. - Evaluate and advocate for build-vs-buy decisions across optimization libraries, ML tooling, and model vendors. Qualifications - 5+ years of engineering experience with substantial applied optimization, operations research, or ML systems work. - Deep proficiency in Python; fluency with at least one optimization framework - MILP solvers, constraint solvers, OR-Tools, or equivalent. - Track record of productionizing algorithmic systems - you have shipped optimization or ML into real users' hands, not just research artifacts. - Strong applied math foundation: combinatorial optimization, heuristics, or statistical modeling relevant to scheduling and resource allocation problems. - Demonstrated ability to partner with domain experts and translate operational constraints into model formulations. - Demonstrated history of holding yourself and your teammates to a high standard, even when it creates discomfort. Preferred Qualifications - Prior experience building scheduling, planning, or resource allocation systems for manufacturing, logistics, or similar domains. - Hands-on experience deploying or fine-tuning open-source LLMs (Llama, Mistral, or similar) for constrained environments. - Background with air-gapped or on-edge model deployment. - Familiarity with discrete-event simulation or agent-based modeling. - Prior experience in defense, aerospace, or regulated industry applications.

• Build and deploy AI-powered voice and messaging agents for healthcare and life sciences clients. • Own client-facing technical relationships. • Integrate with client data systems. • Write production backend services. • Engineer within HIPAA constraints. • Design and maintain databases. • Implement output guardrails ensuring compliance with healthcare regulations. • Collaborate with product, account management, and platform engineering.

Role Description The successful candidate will work as a team member to develop and utilize simulations and models. Responsibilities include: - Evaluating tools, technologies, architectures, models, and test results. - Heading meetings regarding AI with external parties and internal business-embedded innovation teams. - Collaborating with lead engineers to define subsystem requirements and acceptance criteria. The AI Engineer is responsible for designing, developing, testing, and maintaining artificial intelligence (AI) systems and applications. General responsibilities include: - Designing and implementing machine learning models using various programming languages such as Python, R, Java, JavaScript, or C++. - Collaborating with data scientists to develop algorithms for training AI models. - Conducting research on new technologies in the field of AI and applying them to improve existing systems. - Optimizing AI models for performance, scalability, and efficiency. - Integrating AI solutions into various software applications or platforms. - Collaborating with cross-functional teams such as product managers, UX designers, and data analysts to ensure the successful deployment of AI projects. - Ensuring that AI systems are secure, reliable, and adhere to ethical guidelines. - Staying up-to-date on industry trends and best practices in AI development. - Providing technical guidance and mentorship to junior engineers or interns. - Documenting code, models, and processes for future reference and collaboration with other team members. - Performing other related duties as required. Qualifications - BS Degree: AI Engineers candidates should hold a Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Robotics, Artificial Intelligence, Machine Learning, Data Science, or related technical field from an accredited university. - 1 to 3 years of relevant experience or any equivalent combination of relevant education and experience. - Current U.S. Citizenship is required. - DoD Secret security clearance. - Strong written and verbal communication skills. - Strong Microsoft Office skills. Company Description Arcarithm is committed to investing in our employees by offering comprehensive health insurance options, a generous 401K plan, competitive salaries, continuous career growth opportunities, flexible schedules including remote work, mentoring, and performance incentives. We are located in beautiful, downtown Huntsville, AL, one of the fastest growing cities in the U.S.! We cultivate and foster an environment of integrity, open communication, work-life balance, and career development. We are excited to continue to change and improve the world through innovation and technology!

• Help build the foundation for GitLab's transformation into an AI-first company • Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks • Integrate AI capabilities into existing systems and workflows using APIs • Be Customer Zero: leverage and showcase GitLab's AI offerings • Partner closely with stakeholders across functions • Define and track success through business metrics