On a daily basis, you will:
- Conduct applied research in integrating AI/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.
- Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.
- Collaborate with cross-functional teams, including AI researchers, software engineers, and product managers, to translate research findings into practical applications.
- 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.
- Participate in code reviews and provide constructive feedback to other developers/researchers.
- Implement best practices from DevOps to maintain a readable codebase, testable infrastructure and documented research artifacts.
The skills you will demonstrate:
- Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field.
- At least 3 years of experience as a Research Engineer, ideally in Software Engineering.
- Strong research background in AI, ML, and SE
- Experience working with generative AI technologies (e.g. GPT-4, BedRock)
- Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
- Experience in developing and prototyping in Python and R
- Understanding of software development processes and terminology.
- Familiarity with techniques for automated code generation, program synthesis, or software testing using AI/ML
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent communication skills for conveying complex technical concepts
- Excellent debugging, optimization skills, communication and teamwork skills
- Excellent problem-solving skills and the ability to work independently or as part of a team.
Nice to have:
- Masters degree (or equivalent) in Computer Science, Engineering, or related field.
- Experience in publishing research papers in top-tier conferences and journals
- 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
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What We Do
Sonar provides the essential verification layer for the AI-driven development era, ensuring all code—whether human-written or AI-generated—is code you can trust.
Today, AI coding tools are generating explosive volumes of code. This has created an "engineering productivity paradox" : faster code writing doesn't automatically lead to faster, safer software delivery. The new bottleneck is verification.
Sonar solves this. Our industry-leading platform, SonarQube, integrates code quality and code security analysis directly into the development workflow by automating reviews and providing actionable code intelligence for all code—first-party, AI-generated, third-party open source. \
For organizations, Sonar provides the critical SDLC governance and compliance reporting needed to de-risk AI adoption and manage standards at scale. We empower teams to "vibe, then verify" — innovating at the speed of AI without sacrificing the quality, security, or maintainability of their codebase.
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 35 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by 7M+ developers and 400K organizations worldwide, including Barclays, MasterCard, 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 750 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, with 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.
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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.
