Research Engineer
Singapore
Product Development – Data & AI /
Employee / Full-Time /
On-site
Who is Sonar?
Sonar helps prevent code quality and code 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, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. 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.
We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily.
We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly.
And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals.
At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations.
The Impact You Will Have:
You will work on pioneering projects that advance the application of AI within the realm of software engineering. This role offers the opportunity to conduct cutting-edge research, develop novel algorithms and contribute to the development of software tools that enhance system performance, reliability, and flexibility. Your work will directly impact the efficiency and effectiveness of our AI products, enabling developers to spend less time fixing issues and more time innovating. You will contribute to the creation of accessible, user-friendly, and performant solutions that integrate seamlessly with our existing infrastructure.
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
We Value Diversity, Equity, and Inclusion:
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures.
We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
All offers of employment at Sonar are contingent upon the precise results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
