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
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.
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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.
