About the team

The TV Technology team within the Roku TV New Product Introduction (NPI) group focuses on delivering the best Audio Quality (AQ) and Picture Quality (PQ) and driving innovation. With tens of millions of TVs sold globally, thousands of channels, and billions of hours streamed on Roku TVs, worldclass AQ and PQ are essential. 

About the role

We are seeking a Senior Quality Assurance Engineer to join the TV Technology team, based in Shenzhen. As a Senior Quality Assurance Engineer, you will be focused on helping our TV partners build the most desirable and best Smart TVs available. Your expertise in AQ and/or PQ will be utilized to help achieve the best possible audio and picture performance on specific mass-produced TV models by working closely with our TV partners, SOC vendors, and Roku TV engineers. You will also work on optimize and drive automation for existing audio and/or picture test strategies, e.g. by using AI and automation solutions to enhance efficiency and coverage.

What you will be doing

• Design, document, and execute test cases for AQ and/or PQ new feature verification, ensuring comprehensive test coverage and high-quality deliverables.
• Collaborate closely with dev engineers to debug issues, perform iterative testing, and drive feature quality throughout the product lifecycle.
• Continuously optimize AQ and/or PQ test strategies, identifying areas for improved efficiency, coverage, and risk-based testing approaches.
• Develop, maintain, and enhance automation scripts (primarily in Python) to increase test efficiency and maintain a sustainable automation framework.
• Contribute to test documentation, including test plans, test guides, and knowledge transfer materials for NPI manufacturing and release QA teams.
• Participate in technical discussions with stakeholders to align testing efforts with product roadmaps and business priorities.

We’re excited if you have

• 7+ years of experience in software quality assurance, with a focus on embedded systems, consumer electronics, or TV industry background.
• Hands-on experience in AQ and/or PQ testing, with a solid understanding of related test methodologies and industry standards.
• Proven ability to debug complex issues, work closely with development teams, and drive quality improvements across cross-functional organizations.
• Strong automation skills, particularly with Python scripting, and a proven track record of developing and maintaining automated test cases.
• Good English communication skills (both spoken and written) with the ability to participate in daily technical discussions and collaborate with global teams.
• Self-motivation and a proactive attitude, with the ability to work independently in a fast-paced, dynamic environment.
• An open mindset toward AI technologies – even without prior hands-on AI experience, a strong willingness to learn and explore AI applications in QA is highly valued.
• Experience with test automation frameworks and CI/CD integration.
• Familiarity with SoC partner engagement or factory support in consumer electronics manufacturing.
• Knowledge of AI/ML-based testing tools or data-driven testing approaches.

#LI-GW1

Summary: We are seeking an AI Engineer to join an innovative team in Shenzhen. This role involves developing cutting-edge AI solutions to support our next-generation Layer 1 blockchain project, focusing on institutional adoption and the tokenization of real-world assets. The AI Engineer will play a critical role in designing and implementing AI models that bridge traditional Web2 institutions into Web3.

Responsibilities:

• Design and develop AI algorithms and models to support blockchain infrastructure.
• Collaborate with cross-functional teams to integrate AI solutions into blockchain applications.
• Analyze and interpret complex data sets to enhance decision-making processes.
• Implement machine learning models to improve blockchain scalability and efficiency.
• Ensure AI solutions comply with regulatory and security standards.
• Stay updated with the latest AI and blockchain technologies.

Required skills:

• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in AI and machine learning model development.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with blockchain technology and decentralized applications.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent problem-solving and analytical skills.
• Proficiency in English and Mandarin is required.

We are looking for a AI Engineer to join a Shipping SaaS Platform. This isn’t just a "prompt engineering" role—you will work at the intersection of deep mathematics and production-grade engineering to build, optimize, and scale LLM-powered systems that solve tangible problems. Reporting to manager based in the US.

What You’ll Do

• Design and ship end-to-end AI solutions powered by the latest Large Language Models.

• Use your background in mathematics and optimization to make our models faster, smarter, and more efficient.

•  Build robust pipelines for fine-tuning and evaluating models at scale.

• Rapidly prototype via prompt engineering and tuning to find the best path forward.

• Keep us at the cutting edge by integrating the latest NLP and LLM breakthroughs.

Your Technical Toolkit

• Fluency in Python and deep experience with ML frameworks like PyTorch or TensorFlow.

• A solid grasp of algorithms, data structures, and mathematical optimization (convex, gradient-based, etc.).

• Experience with vector databases, RAG, embeddings, and cloud-based API deployments.

Purpose of Position

• The Senior Engineer, DevOps, Infrastructure Operations and AIOps will be responsible for the design, implementation, enhancement, and support of the company’s cloud and infrastructure platforms, deployment pipelines, operational tooling, and service reliability capabilities. The incumbent will work closely with engineering, product, security, and business teams to ensure that technology platforms are stable, scalable, secure, and efficient in supporting business growth.
• The incumbent is expected to bring strong hands-on experience in DevOps, infrastructure operations, automation, and production support, together with practical exposure to AIOps capabilities that improve monitoring, incident detection, alerting, troubleshooting, and operational efficiency in a fast-paced and dynamic environment.

Job Description

• Design, build, maintain, and optimize infrastructure platforms, DevOps pipelines, and operational tooling to support reliable and scalable technology delivery.
• Manage and enhance cloud and on-premise infrastructure environments, including compute, storage, network, access control, backup, disaster recovery, and related platform services.
• Build and improve CI/CD pipelines, release automation, environment provisioning, and infrastructure-as-code capabilities to strengthen delivery speed, consistency, and quality.
• Work closely with application engineering teams to ensure solutions are deployable, observable, secure, and operationally supportable across development, testing, and production environments.
• Support production operations, service monitoring, incident response, root cause analysis, problem remediation, and continuous service improvement.
• Implement and maintain observability capabilities including logging, metrics, tracing, dashboards, and alerting to improve system visibility and operational responsiveness.
• Drive automation initiatives across infrastructure operations, deployment, configuration management, patching, capacity management, and operational workflows.
• Contribute to AIOps use cases including intelligent alert correlation, anomaly detection, predictive monitoring, incident triage support, operational insights, and workflow automation to improve efficiency and reduce manual effort.
• Collaborate with security teams to ensure infrastructure and DevOps practices align with security, compliance, vulnerability management, and access governance requirements.
• Support system resilience through backup, recovery planning, failover readiness, and disaster recovery testing.
• Work with third-party vendors and service providers where required to maintain service quality, issue resolution, and platform stability.
• Document infrastructure standards, runbooks, procedures, and best practices to strengthen team knowledge sharing and operational consistency.

Requirements

• Strong hands-on engineering experience in DevOps, infrastructure operations, site reliability, or platform engineering roles.
• Good understanding of cloud infrastructure, network fundamentals, system administration, environment management, backup and recovery, and operational support practices.
• Solid experience with CI/CD, infrastructure as code, configuration management, scripting, automation, and deployment tooling.
• Experience in production support, incident management, troubleshooting, root cause analysis, and operational improvement in business-critical environments.
• Strong understanding of observability and monitoring practices including logs, metrics, tracing, dashboards, and alerting.
• Practical experience with AIOps, intelligent operations tooling, or AI-enabled monitoring and automation capabilities is preferred.
• Familiarity with applying AI or machine learning concepts in operations use cases such as anomaly detection, event correlation, incident prediction, intelligent alerting, and workflow automation is a plus.
• Good understanding of infrastructure security, access control, patching, vulnerability management, and compliance requirements.
• Experience working with engineering teams in agile and fast-paced delivery environments.
• Strong problem-solving skills with the ability to troubleshoot across infrastructure, platform, deployment, and application support layers.
• Known for promoting automation, operational excellence, reliability, and engineering best practices.
• At least 5-8 years of relevant working experience in DevOps, infrastructure engineering, platform operations, or related technology roles.
• Experience in eCommerce, retail, or high-transaction consumer-facing environments is a plus.
• Experience in multicultural and fast-paced organizations is preferred.
• Strong communication and collaboration skills.
• Proficient in spoken and written Cantonese and English.

About Us:

We’re a fast-moving, AI-leveraged rapid prototyping lab creating innovative products in martech, fintech, web apps, websites, crypto, and more. Our developers are the backbone of our mission to build and iterate at speed, delivering solutions that blend cutting-edge tech with real-world impact.

Job Summary:

As a Software Developer, you’ll build and iterate on prototypes and MVPs across our diverse product stack. Working closely with product managers and marketing professionals, you’ll leverage AI tools and frameworks to deliver scalable, secure, and high-performance solutions in a rapid development environment.

Key Responsibilities:

• Utilize AI-driven development tools like Cursor, GitHub Copilot, Replit AI, or Tabnine to streamline coding, debugging, and iteration on prototypes.
• Develop and maintain web apps, websites, and backend systems using modern frameworks (e.g., React, Node.js, Python, etc.).
• Integrate AI/ML models into products (e.g., recommendation systems for martech, fraud detection for fintech).
• Build and test smart contracts or blockchain-based features for crypto-related projects.
• Optimize code for performance, scalability, and security in cloud environments (e.g., AWS, Azure).
• Contribute to architecture decisions and adopt best practices in an agile, iterative workflow.

Qualifications:

• Familiarity with AI-driven development tools (e.g., code generation, automated testing) is a must.
• 2+ years of software development experience, with proficiency in at least one modern stack (e.g., JavaScript, Python, Go, Rust). Fresh Graduates with relevant experience leveraging AI tooling will be considered.
• Experience with REST APIs, databases (SQL/NoSQL), and cloud platforms.
• Familiarity with AI/ML integration (e.g., TensorFlow, PyTorch, or API-based AI services).
• Knowledge of blockchain development (e.g., Solidity, Rust, Move) is a plus but not a must.
• Strong problem-solving skills and ability to thrive in a fast-paced, prototype-driven setting.
• Bonus: Experience in martech (e.g., adtech APIs), fintech (e.g., payment gateways), or crypto.

#LI-REMOTE