About NironNiron Magnetics is commercializing the first new magnetic material in decades powered by its breakthrough material formulation and advanced manufacturing process. The company's proprietary magnet technology based on Iron Nitride enables magnets that are inherently high magnetization, free of rare earths and other critical materials, and solve supply chain reliability challenges, will drive innovation in various industries. Headquartered in Minneapolis, MN, Niron Magnetics is comprised of a team of professionals with a desire to make a positive impact on the global community. We were named one of "America's Top GreenTech Companies" for 2024 and 2025 by TIME Magazine and the "Innovation of the Year" at the 2025 mHUB Fourth Revolution Awards.
Our team is made up of people who think big, dare to innovate, and strive to impact the planet through technological innovation for our customers. Ready to work alongside amazing people, solve complex problems, and leave a legacy? Join our team.
What you'll do Niron Magnetics is seeking a
Software Architect, AI to define and evolve the technical architecture for AI-driven systems across manufacturing, R&D, and business operations. This role will be responsible for setting architectural direction, enabling scalable and reliable AI solutions, and partnering cross-functionally to ensure AI capabilities deliver real operational and business impact.
This is a senior, hands-on technical leadership role for someone excited to build foundational AI systems in a high-growth, deep-tech manufacturing environment.
Define AI Architecture and Technical Strategy - Design and own the end-to-end architecture for AI and machine learning systems across data ingestion, model development, deployment, and monitoring.
- Establish architectural patterns and standards for scalable, secure, and maintainable AI platforms.
- Ensure AI systems integrate effectively with manufacturing systems (e.g., MES, ERP), laboratory tools, and enterprise software.
Enable AI-
Driven Innovation - Partner with Manufacturing, R&D, Quality, and Operations teams to identify high-value AI use cases (e.g., process optimization, quality prediction, anomaly detection).
- Translate business and technical requirements into robust AI system designs.
- Guide model lifecycle management, including experimentation, deployment, retraining, and performance monitoring.
Technical Leadership and Enablement - Act as a technical authority and advisor on AI architecture, best practices, and trade-offs.
- Review designs, mentor engineers and data scientists, and raise the technical bar across teams.
- Support build-vs-buy decisions and evaluate vendors, tools, and platforms.
Cross-
Functional Collaboration - Work closely with software, data, and infrastructure teams to ensure architectural alignment and execution.
- Partner with IT and Security to ensure AI systems meet reliability, security, and compliance standards.
- Communicate complex technical concepts clearly to non-technical stakeholders.
What We're Looking For - 10+ years of experience in software engineering, data platforms, or AI/ML systems, with demonstrated architectural ownership.
- In-depth experience building applications on top of large language models (OpenAI, Anthropic, open-weight models, or comparable) - including prompt design, function/tool calling, structured outputs, RAG architectures, and agent frameworks.
- Demonstrated experience integrating software with enterprise systems via REST, GraphQL, message queues, webhooks, and ETL pipelines
- Solid grounding in cloud architecture (Azure preferred), containerization (Docker), and at least one orchestration approach (Kubernetes and/or serverless preferred.).
- Demonstrated skills in Python, Rust, and R
- Strong understanding of modern AI/ML frameworks, data pipelines, cloud-native architectures, and MLOps concepts.
- Experience integrating AI systems with operational or industrial environments preferred.
- Ability to balance near-term delivery with long-term architectural vision.
- Excellent communication skills and comfort influencing without authority.
- Strong problem-solving skills and comfort operating in ambiguous, early-stage environments.
Nice to Have - Experience in manufacturing, industrial, or deep-tech environments.
- Advanced degree in Computer Science, Engineering, Data Science, or a related field.
- Experience with edge AI, time-series data, or physics-informed ML.
- Passion for clean tech, sustainable materials, or climate-positive innovation.
Our pay and benefits - Equity position in Niron via stock option grant
- Comprehensive medical, dental, and vision insurance
- 401k plan with company match
- Paid vacation, sick time, and holidays
- Experience in a fun, high-performing, manufacturing environment
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