Sonarsource jobs

Support Engineer - Singapore Singapore Who is Sonar? 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

Finance Director, GTM Business Support San Francisco, CA Who is Sonar? 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

Enterprise Territory Manager - Southeast Austin, Texas Who is Sonar? 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

Audio Inference Engineer, Model Efficiency New York | Remote | San Francisco | Toronto | Montreal Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You'll collaborate closely with both the training and serving infrastructure

Subsea Acoustics Engineer San Francisco, CA Subsea Acoustics Engineer

DevOps Engineer, Audio Platform Portugal, Lisboa posted: Posted 30+ Days Ago

SPEECH Location not specified posted: Posted 23 Days Ago

Senior Subsea Acoustics Engineer San Francisco, CA Senior Subsea Acoustics Engineer

Underwater Acoustics Modelling and Evaluation Engineer II US-RI-MIDDLETOWN-201 ~ 127 John Clarke Rd ~ BBN MIDDLETOWN, Ste 3 posted: Posted 15 Days Ago

Voice Core Engineer Bucuresti, Bucuresti, Romania

Junior Signal Processing Engineer 2 Locations posted: Posted Yesterday

Critical Infrastructure Acoustic Engineer, Field Engineering Herndon, Virginia, USA AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As an Amazon Critical Infrastructure Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the 'go to' engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to: * Coordinate acoustical mitigation requirements, supporting utilities, and equipment locations, and provide detailed construction specifications for all sound and acoustics-related trades * Review all design disciplines to ensure they meet the site acoustic requirements described in

Principal Embedded Engineer, Loudspeakers and Acoustics Belgium, Heverlee posted: Posted 30+ Days Ago

Senior Software Engineer, Speech MLOps Cracow, Lesser Poland Voivodeship, POL Want to work on the technology powering GenAI experiences via Alexa and AWS Polly? Join our Machine Learning Operations team for AGI at Amazon! We build and maintain the infrastructure and tooling that enable our Scientists to work on state-of-the-art models. We own the entire machine learning lifecycle, including: data preparation, model training, inference, evaluation, release and deployment. Specifically, we are seeking a passionate Machine Learning Engineer who is: 1) capable of designing and building scalable, reliable ML infrastructure on AWS, solving novel engineering challenges when no textbook solutions exist; 2) eager to collaborate with Scientists to understand their workflows and bring research innovations into production-ready systems. If you thrive in ambiguous environments at the intersection of software engineering and machine learning, this position is for you! Join us and be part of the team shaping the future of speech synthesis, enabling new and exciting GenAI experiences for millions of users worldwide. Basic Qualifications: - BS in Computer Science or equivalent experience. - Proficiency in at least one modern programming language (Java, C/C++, C#). - Experience with Linux/Unix systems and fluent shell interaction. - Solid knowledge of CS fundamentals (algorithms, data structures). - Professional communication skills and ability to contribute to team discussions English language working proficiency. - Experience working along a science team to accelerate development. Preferred Qualifications: - MLOps experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our

Sound Experiences Lab Intern Barcelona,Spain

Werkstudent - Emerging Acoustics (w/m/div) Munich (Germany)

Signal Processing Engineer 2 Locations posted: Posted 30+ Days Ago

Sr. Acoustic Software QA Engineer, Asia Tech Center Shenzhen, CHN Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Role: As a Acoustic Software QA Engineer, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will: - Create test plans and test cases - Efficiently execute test cases across all functional areas of our products especially have expertise in Audio. - Review product user interface for conformity to design guidelines - Find, isolate, document, regress, and track bugs through resolution - Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process - Work with Software Development Engineers to understand the overall technical architecture and how each feature is implemented - Collaborate with US teams and domestic partners in acoustic lab setting up and management Basic Qualifications: - 4+ years of quality assurance engineering experience - Experience scripting or coding - Knowledge of QA methodology, industry-standard tools and bug tracking tools - Familiarity with acoustic performance measurement and equipment - Familiarity with acoustic lab environment setup Preferred Qualifications: - Experience in testing and QA environments - Familiarity with ACQUA

SONiC Software Engineer - Python Israel, Raanana posted: Posted 16 Days Ago

Echo Sonographer I HM Sugar Land - Sweetwater posted: Posted 2 Days Ago

Water Resources Engineer - Fisheries Multiple Locations

Acoustic Software QA Engineer, Asia Tech Center Shenzhen, CHN Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Role: As a Acoustic Software QA Engineer, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will: - Create test plans and test cases - Efficiently execute test cases across all functional areas of our products especially have expertise in Audio. - Review product user interface for conformity to design guidelines - Find, isolate, document, regress, and track bugs through resolution - Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process - Work with Software Development Engineers to understand the overall technical architecture and how each feature is implemented - Collaborate with US teams and domestic partners in acoustic lab setting up and management Basic Qualifications: - 4+ years of quality assurance engineering experience - Experience scripting or coding - 4+ years of delivering test frameworks, test tools, leading the QA projects and initiatives experience - Knowledge of QA methodology, automation, industry-standard tools and bug tracking tools - Familiarity with acoustic performance measurement and equipment - Familiarity with acoustic

Speech Pathologist Location not specified posted: Posted 8 Days Ago

Acoustic Engineer Shanghai, Shanghai posted: Posted 21 Days Ago