Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.
We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
SonarQube: The world’s leading AI code review and verification platform.
SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.
Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:
Committed to our customers and community.
Obsessed with quality.
Deliberate in our decisions.
Effective as one team.
With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.
What you will do
- End-to-End Ownership: Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable.
- Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences.
- Influence Model Training & Tuning: Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air-gapping).
- Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector-specific data security standards and performance SLAs. Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others.
- Building Relationships: Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments.
- Serve as Internal Expert: Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success.
Experience and qualifications
- Education: Bachelor's degree in Computer Science or a related field.
- Experience: 2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience.
- ML Engineering & Training Expertise: Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments.
- Forward Deployed/Consulting Background: Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high-performance software, involving cloud or on-premise ML workloads.
- Technical & MLOps Knowledge: Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI).
- Value-Driven Influence: Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance.
This role is based in San Francisco. We are unable to consider candidates unwilling to be in San Francisco, but we are willing to relocate the right candidate.
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.
If you need any accommodation, please reach out to us at [email protected].
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
We do not currently support visa candidates in the US.
Applications that are submitted through agencies or third party recruiters will not be considered.
Skills Required
- Bachelor's degree in Computer Science or a related field
- 2+ years of experience in a technical, customer facing role or as a Software/ML Engineer with consulting experience
- Experience in the Machine Learning lifecycle (training, optimization, deployment)
- Proven track record working with client engineering teams to deploy and integrate software
- Understanding of ML frameworks, programming languages including Python
- Demonstrated ability to influence senior technical leaders and lead engineers
What the Team is Saying
.png)
.png)
Sonar Compensation & Benefits Highlights
-
Leave & Time Off Breadth — PTO is positioned at 23 days for U.S. employees with additional days added at 5 and 10 years. Time off is highlighted as a strong aspect of the package.
-
Retirement Support — A 401(k) with a 4% company match that vests from day one provides clear long‑term savings support.
-
Healthcare Strength — Employer contributions are described at roughly 90% of employee premiums (about 60% for dependents) for medical, dental, and vision, alongside employer‑paid life and disability insurance.
Sonar Insights
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. Integrating code quality and code security into a single platform (SonarQube), Sonar is the foundation for high performance software engineering, analyzing over 750 billion lines of code daily to ensure applications are secure, reliable, and maintainable. As an independent verification platform, Sonar enables organizations to securely develop at the speed of AI. 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 worldwide, including ServiceNow, Booking.com, Deutsche Bank, AstraZeneca, and Ford Motor Company. Sonar is headquartered in Geneva, Switzerland with additional offices in Austin, Texas; Bochum, Germany; London, Singapore, and Tokyo. The company is rapidly growing with over 800 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.
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.
