Software Engineer (AI-native) at Opswat · Ho Chi…

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life. The Position

Our team builds the technology that tells the world what's inside its software. Our engines scan source code and binaries to detect open-source components, generate Software Bills of Materials (SBOM), and surface vulnerabilities and license risks across the software supply chain.

We are looking for an early-career Software Engineer AI-native, someone who treats AI coding assistants as a core part of their workflow and is curious about how machine learning can make component detection and vulnerability analysis smarter. You'll join a team that ships fast, reviews rigorously, and expects AI tools to amplify (not replace) sound engineering judgment.

What You Will Be Doing

• Design, implement, and maintain features for our SBOM generation and SCA scanning engines
• Use agentic AI coding tools daily (Claude, Copilot, Cursor, or similar) to speed up development, testing, and review: prompting, verifying, and iterating with judgment
• Stay current on emerging AI coding tech and help the team adopt what actually improves developer experience
• Build and improve data pipelines that ingest package registry, vulnerability, and license data at scale
• Write clean, well-tested code and participate in code reviews with senior engineers
• Investigate detection accuracy issues and continuously improve scan quality
• Collaborate with QA, product, and other engineering teams across the SCA platform

What We Need from You

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or related field
• 1-3+ years of professional experience
• Solid foundation in data structures, algorithms, and at least one systems or backend language (Python, Go, C/C++, Java, or Rust)
• Hands-on experience using AI coding tools (Claude Code, Copilot, Cursor, ChatGPT, or similar) on actual projects
• Fundamentals in machine learning and data processing: understanding of core ML concepts (classification, embeddings, evaluation metrics) and comfort working with data: parsing, transforming, and analyzing structured/unstructured datasets
• Familiarity with Git and collaborative development workflows
• Ability to read and communicate in English (written and verbal)
• Curiosity, ownership, and a habit of verifying; especially the output of AI tools

It Would Be Nice If You Had

• Rust programming experience: personal projects, coursework, or open-source contributions all count
• Exposure to LLM APIs, prompt engineering, RAG, or building AI-assisted features
• Experience with CI/CD pipelines, Docker, or Linux environments
• Contributions to open-source projects

OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.

Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.