On a daily basis, you will:
- Define and execute research directions that pushes the state of the art AI4SE techniques
- Lead research projects in integrating AI/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.
- Collaborate with cross-functional teams, including AI researchers, software engineers, and product managers, to translate research findings into practical applications.
- Work on curation of large datasets, benchmarks across multiple SE problems and challenges
- Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.
- Publish research findings in leading academic conferences and journals, and present innovative work to the broader research community.
The skills you will demonstrate:
- PhD (or equivalent) in computer science, information technology, engineering, or related field.
- Strong research background in AI, ML, and/or SE with a solid publication record in A and A* level conferences/journals.
- Minimum of 2 publications in top-tier conferences or journals. Strong problem-solving skills and ability to work independently in a research setting.
- Leadership experience working with junior researchers, senior researchers and other collaborators
- Excellent communication skills for conveying complex technical concepts.
- Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
- Experience with general-purpose languages, such as Java, C#, C/C++, Python, Rust
- Experience with techniques for automated code generation, program verification, program synthesis, or software testing using AI/ML.
- Strong knowledge in state-of-the-art research in ML for Software engineering, such as experience in Prompt Engineering, Agentic Systems, Chain of Thought applications
Nice to have:
- Familiarity with AWS services such as Lambda, EC2, ECS, SNS, SQS, and RDS is an advantage
- Experience using and configuring static analyzers as part of a research project
Top Skills
What We Do
Software-driven digital innovation is essential for competing in today's market, and the foundation of this innovation is code. However, there are widespread cracks in this foundation – lines of bad, insecure, and poorly written code – that manifests into tech debt, security incidents, and availability issues. With Sonar, developers and organizations are empowered to create quality, secure code confidently, whether written by humans or generated with AI.
The Sonar solution, SonarQube, helps prevent code quality and security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it—your internal team or genAI—resulting in more secure, reliable, and maintainable software.
At Sonar, we are driven by a deep belief in our people, a commitment to excellence, and an unwavering dedication to delivery. We operate as a united group where our collective success is the sum of each individual's contributions. Our company culture is driven by the values of CODE: Committed, Obsessed, Deliberate & Effective. This mindset reflects our culture of creativity, collaboration, and pride in the work we do.
Rooted in the open-source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by 7M+ developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile.
Sonar is headquartered in Geneva, Switzerland with additional offices in Austin, Texas; Annecy, France; Bochum, Germany, London, England; and Singapore. The company is rapidly growing with over 600 employees!
Join us in our mission to solve the trillion-dollar challenge of bad code!
Why Work With Us
We are a product-first company, all while maintaining a people-first culture. Every employee has the opportunity to grow and learn. We promote from within, provide regular feedback and professional development opportunities, value the right to fail along with respect and kindness and work with team members to achieve their full potential.
Gallery










Sonar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Sonar, we require employees to come into the office 3 days/week.