Your responsibilities will include:

• Performing power unit/e-drive NVH simulations using Abaqus and AVL Excite PU in various areas such as power unit or EDU modal analysis and multi-body dynamics analysis
• Writing technical reports in English
• Delivering presentations in English and Chinese to customers
• Liaising with customers on project-related matters
• Supporting other skill teams

To be successful in this role, you will need:

• A minimum of a bachelor's degree in mechanical engineering, mathematics, physics, or materials science
• At least 3 years of experience in FE simulation and multi-body dynamics analysis
• A solid understanding of basic physical and numerical methods
• Proactive, enthusiastic, and self-motivated with analytical problem-solving skills
• Experience with Abaqus, AVL Excite PU, ANSA, and Kiss-Soft is preferred
• Good knowledge of engine, e-motor, EDU, and NVH principles
• Excellent presentation and communication skills in both English and Chinese
• Ability to work under pressure and deliver quality results within time constraints

AVL offers a range of benefits, including opportunities for professional growth and development in a dynamic and innovative environment.

As a leading mobility technology company, AVL provides concepts, solutions, and methodologies for a greener, safer, and better world of mobility.

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As a Simulation Engineer, you will be responsible for power unit/e-drive NVH simulations using Abaqus and AVL Excite PU. Your tasks will include:

• Performing power unit or EDU modal analysis using Abaqus
• Conducting power unit or EDU multi-body dynamics analysis using AVL Excite PU
• Writing technical reports in English
• Making presentations in English and Chinese for customers
• Liaising with customers on project-related matters
• Supporting other skill teams

To be successful in this role, you will need:

• A minimum of a bachelor's degree in mechanical engineering, mathematics, physics, or materials science
• At least 3 years of experience in FE simulation and multi-body dynamics analysis
• A solid understanding of basic physical and numerical methods
• Pro-active, enthusiastic, and self-motivated with analytical problem-solving skills
• Experience with Abaqus, AVL Excite PU, ANSA, and Kiss-Soft is preferred
• Good knowledge of engine, e-motor, EDU, and NVH principles
• Excellent presentation and communication skills in both English and Chinese
• Ability to work under pressure and deliver quality results under tight deadlines

AVL offers a permanent contract for this position.

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Responsibilities

Areas that play to your strengths

• Embody the Red Bull On Premise culture and values: passion, professionalism, focus, and responsibility.
• Develop and maintain relationships with key decision-makers and industry influencers.
• Identify, secure, and develop partnerships within strategic On Premise segments.
• Implement consumer concepts and trial activations.
• Ensure correct brand positioning and product placement.
• Perform outlet staff training for brand understanding and execution.
• Analyze the territory for distribution opportunities.
• Transfer On Premise know-how and Red Bull culture to customers.
• Work with other Musketeers and communicate regularly with the National On Premise Manager.
• Share obstacles and challenges with the NOPM and develop solutions.
• Perfectly use field CRM to track and manage outlets.
• Fulfill reports accurately and on time.
• Manage On Premise marketing tools and observe competitor activities.

Requirements

• 3 years of sales experience in the local On Premise market.
• Solid knowledge of distribution, account management, and the On Premise industry.
• Entrepreneurial, ambitious, and passionate about success.
• Outstanding communication skills.
• Commercially-minded with selling, negotiation, and objection-handling skills.
• Disciplined, self-motivated, and able to work independently.
• Proficient in Word, Excel, PowerPoint, etc.
• Diploma or Degree holder.
• Fluency in Mandarin, basic knowledge of written and spoken English.
• Travel 40-50%.

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Key Responsibilities:

• Monitor and handle alerts on Slack, AWS dashboards, and monitoring tools to ensure system health and performance.
• Provide technical support and troubleshoot application, API, and integration-related issues for internal teams and external partners.
• Support partner integration activities by providing technical troubleshooting and issue investigation for application, API, and integration-related matters.
• Perform daily technical support activities, including issue investigation, log analysis, system validation, and service monitoring.
• Utilise analytical and problem-solving skills to diagnose and resolve technical issues.
• Perform log analysis, database verification, and API validation to assist in troubleshooting and issue resolution.
• Contribute to the expansion and updating of the technical support knowledge base, troubleshooting guides, and operational documentation.
• Address and resolve application issues in a timely manner based on severity and priority.
• Manage service disruptions and communicate effectively with internal teams and external partners.
• Escalate unresolved issues to the relevant teams and provide necessary investigation findings to facilitate resolution.
• Provide support to external partners as needed.

AI & Automation Responsibilities:

• Utilise AI-powered tools and technologies to support troubleshooting, technical research, and operational productivity.
• Leverage AI solutions to assist in log analysis, documentation generation, knowledge discovery, and issue investigation activities.
• Contribute ideas and initiatives to improve technical support processes through AI and automation.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• At least 2+ years of experience in Technical Support, Application Support, Software Support, or a related role.
• Good communication and interpersonal skills, proficient in both written and spoken English and Mandarin.
• Familiarity with software development technologies and concepts, including .NET Framework, .NET Core (ASP.NET Core MVC), Entity Framework Core/LINQ, JavaScript, and CSS.
• Excellent analytical and problem-solving abilities.
• Familiarity with API technologies, including Web API and RESTful services.
• Basic understanding of AWS services, including CloudWatch, Lambda, SQS, RDS, ElastiCache, SES, and ECS.
• Familiarity with database structures and SQL queries, including Microsoft SQL Server and MySQL.

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Job Responsibilities

• Design, develop, and maintain efficient automated test scripts to ensure software stability and quality.
• Build and optimize test automation frameworks to enhance maintainability and scalability.
• Collaborate with QA, development, and product teams to analyze testing requirements and define test strategies.
• Execute automated test suites, analyze test results, and quickly identify and track defects.
• Continuously improve test coverage and efficiency, promoting automation across the development process.
• Participate in CI/CD pipelines, ensuring automated testing is effectively integrated into continuous integration and deployment workflows.

Requirements

• Bachelor’s degree or higher in Computer Science or a related field.
• Proficiency in at least one programming language, such as Python, Java, or C#, with strong coding best practices.
• Hands-on experience with test automation tools such as Selenium, Appium, or JUnit.
• Strong problem-solving and debugging skills to quickly identify and resolve testing issues.
• Familiarity with CI/CD processes, with preference given to candidates who have experience integrating automated tests into continuous integration and delivery pipelines.

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Job Responsibilities

• Design and lead testing strategies and plans for complex software systems, covering functional, performance, and stress testing.
• Mentor and train junior QA engineers, providing technical guidance and best practice sharing.
• Collaborate with cross-functional teams to ensure high product quality at all stages.
• Analyze test results, prepare detailed reports, and drive continuous optimization of testing processes and tools.
• Monitor and research emerging trends and technologies in software quality assurance.

Requirements

• Bachelor’s degree or higher in Computer Science or a related field.
• 5+ years of experience in software quality assurance, with a preference for candidates with complex system testing and leadership experience.
• Deep understanding of QA methodologies, testing tools, and systems.
• Strong analytical and problem-solving skills, with the ability to independently identify and resolve complex issues.
• Excellent bilingual communication and leadership skills.
• Prior experience in automated testing is a plus

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Job Responsibilities:

• Manage cloud infrastructure for data, ensuring scalability, availability, and security.
• Play a critical role in disaster recovery planning and implementation.
• Optimize database performance and usage to reduce costs.
• Oversee administration, maintenance, and optimization of AWS cloud databases, including MySQL, Aurora MySQL, MongoDB, MSSQL, and DynamoDB.
• Monitor and optimize database performance, including managing indexing, queries, and caching strategies.
• Implement and manage backup and recovery strategies to safeguard data integrity.
• Ensure database security by implementing best practices and monitoring for potential vulnerabilities.
• Develop and maintain automation scripts for database management tasks using tools like AWS Lambda, CloudFormation, and Terraform.
• Set up and manage monitoring tools to track database performance and health.
• Diagnose and resolve database-related issues, providing timely support to development and operations teams.
• Collaborate with development teams to design and implement database solutions that meet business requirements.
• Automate routine database tasks such as backups, updates, and monitoring using scripts and cloud tools.
• Plan and execute data migrations from on-premises databases to cloud platforms or between different cloud services.
• Maintain comprehensive documentation of database configurations, processes, and procedures.

Pre-Requisites:

• Minimum of 2-3 years of experience in database engineering, with a focus on cloud-hosted databases: AWS and MONGO Atlas.
• Proficiency in MySQL, Aurora MySQL, MongoDB, PostgreSQL, MSSQL, and DynamoDB.
• Experience with AWS services such as RDS, EC2, S3, and IAM.
• Strong scripting skills in languages such as Python, Bash, or PowerShell.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• AWS Certified Database - Specialty or similar certifications are a plus.

Preferred Qualifications:

• Experience with database migration and upgrade projects.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Familiarity with DevOps practices and CI/CD pipelines.

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You will perform data analysis to support financial analysis, payment analysis, marketing analysis, product performance, customer behavior analysis, and business operations. You will build and maintain recurring and ad-hoc reports/dashboards using business intelligence tools or other automation tools.

You will translate business questions into analytical tasks and deliver clear, data-driven answers and recommendations. You will support root cause investigations for anomalies and contribute to continuous improvement of reporting accuracy.

You will collaborate with data engineers, product managers, and other teams to ensure smooth data pipeline and reliable reporting. You will support the integration of AI tools (e.g., LLMs) into reporting and analysis workflows under guidance from senior team members.

You will document metrics definitions, dashboard logic, and report processes for consistency and transparency.

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The ideal candidate will have hands-on experience in Amazon Web Services (AWS), strong troubleshooting capabilities, and a passion for building scalable, observable, and resilient systems using modern Infrastructure as Code (IaC) and automation tools.

Responsibilities:

• Design, develop, and maintain Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation, leveraging AI coding assistants to accelerate development and enforce best practices.
• Implement and operate reliable, scalable cloud infrastructure primarily on AWS (e.g., EC2, ECS, RDS, S3, Lambda, ElastiCache, SQS, SES, Auto Scaling, Load Balancers)
• Lead and participate in architecture reviews focusing on reliability, scalability, security, performance, and the cost-efficiency of infrastructure.
• Develop and manage robust monitoring, alerting, and logging solutions (e.g., CloudWatch, Prometheus, Grafana, ELK), incorporating AIOps tools for predictive alerting, anomaly detection, and reducing alert fatigue.
• Perform incident management, postmortems, root cause analysis, and implement continuous improvement strategies, utilizing AI-driven analytics to rapidly summarize logs and traces during outages.
• Collaborate with software engineering teams to improve CI/CD pipelines, deployment automation, release management, and the deployment lifecycles of machine learning models.
• Automate infrastructure operations, reduce manual toil, and improve reliability using scripting (Python, Bash, Node.js, or Ruby) and AI-powered workflow automation.
• Maintain and troubleshoot environments involving web servers, databases, firewalls, DNS, load balancers, networking.
• Ensure systems are compliant with security standards, including patching, hardening, secure access policies, and data privacy constraints specific to AI training data.
• Provide on-call support, participate in incident rotations.
• Monitor and maintain service-level objectives (SLOs), SLAs, and error budgets to ensure reliability targets are met.
• Provide support and solution handling to incidents and tickets assigned.

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Your responsibilities will include:

• Proactively driving the research and implementation of the Razer Gold core system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Staying on top of any critical issues and driving to the finish line.
• Working with the team to migrate the existing system to a new tech stack.

We are looking for a highly skilled and experienced Software Engineer to join our team. If you have a strong background in Java and a passion for building scalable and high-performance systems, we would love to hear from you.

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This role focuses on building responsive and interactive UIs that seamlessly integrate with AI/ML backend services, ensuring optimal user experience and real-time data visualization. You will collaborate closely with AI engineers, data scientists, and backend developers to create scalable front-end architectures that support AI-powered features.

The ideal candidate has strong expertise in modern web technologies (React, TypeScript, etc.), and experience optimizing front-end performance for data-intensive applications.

Responsibilities:

• Develop front-end UI for multi-platform applications (PC, mobile, etc.) based on product design.
• Participate in technology selection, application development, and support platform architecture design and development.
• Engage in product requirement analysis and feature design to optimize user experience.

Qualifications:

• Bachelor’s degree or higher in Computer Science or related fields, with 5+ years of front-end development experience.
• Proficient in web front-end technologies, including JS, ES6/ES7 features, TypeScript, HTML5/CSS3/LESS/SASS, and familiarity with HTTP/WebSocket protocols.
• Skilled in the React framework and related component libraries, with hands-on experience in full React project development; familiarity with Vue is a plus.
• Deep understanding of React design principles, with experience in MVC and modular development. Knowledgeable in web standards, performance optimization, and front-end engineering (bundling, deployment).

Preferred Qualifications:

• Experience in desktop GUI development (Electron or WebView2-based) is a plus.
• Strong English reading/writing skills; proficiency in spoken English is highly preferred.
• Familiarity with Three.js, Pixi.js, or WebGL programming is advantageous.

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Responsibilities:

• Design, develop, and deploy web scraping solutions to collect specific datasets for AI training purposes.
• Build robust and scalable web crawlers to extract structured and unstructured data from various online sources.
• Ensure data accuracy, integrity, and compliance with relevant laws and regulations.
• Clean, preprocess, and organize scraped data for use in machine learning models.
• Monitor and optimize crawling performance to ensure efficiency and reliability.
• Collaborate with AI teams to define data requirements and ensure the relevance of collected data.
• Document crawling workflows, tools, and results for future reference.

Requirements:

• Bachelor's or master's degree in computer science, software engineering, or a related field.
• Strong experience with web scraping tools and frameworks (e.g., Scrapy, Selenium, BeautifulSoup).
• Proficiency in programming languages like Python, Java, or Node.js.
• Familiarity with HTTP protocols, HTML parsing, and JSON data formats.
• Knowledge of database systems (SQL, NoSQL) for data storage and management.
• Experience with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker).
• Strong understanding of web crawling ethics, regulations, and best practices.
• Excellent analytical skills and attention to detail.

Preferred Qualifications:

• Experience with large-scale data scraping and handling distributed crawlers.
• Familiarity with AI and machine learning concepts, especially data preprocessing for AI models.
• Knowledge of browser automation and tools for rendering dynamic content.
• Ability to handle multilingual data and diverse data formats.

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The ideal candidate will possess strong analytical skills, a deep understanding of online research methodologies, and the ability to assess the reliability and relevance of data sources.

Responsibilities:

• Conduct in-depth research to discover new and reliable data sources across online platforms, public records, and databases.
• Evaluate the credibility, accuracy, and usability of collected data.
• Develop and maintain a structured database of verified data sources.
• Monitor and track data sources for updates, changes, and emerging trends.
• Collaborate with internal teams to understand data requirements and ensure data sourcing aligns with business objectives.
• Utilize web scraping, APIs, and manual research techniques to gather relevant information.
• Ensure compliance with data privacy regulations and ethical research standards.
• Prepare reports and summaries of research findings.

Requirements:

• Bachelor’s degree in Information Science, Data Analytics, Market Research, or a related field.
• Proven experience in data research, internet sourcing, or a similar role.
• Proficiency in using search engines, web scraping tools, APIs, and databases.
• Strong analytical and critical thinking skills.
• Knowledge of data privacy laws and best practices in data sourcing.
• Excellent attention to detail and organizational skills.
• Familiarity with programming languages such as Python for data extraction.
• Experience with data visualization and reporting tools.
• Excellent Chinese and English communication skills.

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Your responsibilities will include:

• Proactively driving the research and implementation of the Razer Gold core automation system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Staying on top of any critical issues and driving to the finish line.
• Working with the team to migrate the existing system to a new tech stack.

You will have the opportunity to work with a variety of technologies, including Java, and will be expected to stay up-to-date with the latest developments in the field.

If you are a motivated and experienced software engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.

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Responsibilities:

• Design and develop screen recording and streaming functionalities on Windows platforms.
• Implement and optimize video encoding and decoding pipelines using hardware encoders such as NVENC, AMD AMF, and Intel QuickSync.
• Work with video codecs including H.264, H.265 (HEVC), and AV1 for high-performance applications.
• Collaborate with cross-functional teams to achieve real-time, low-latency, and high-quality media processing.
• Debug and troubleshoot issues related to video/audio streaming, latency, and encoding quality.
• Stay updated on advancements in video encoding standards and streaming technologies.

Requirements:

• Bachelor’s degree in computer science, software engineering, or a related field.
• Proficiency in video encoding/decoding and familiarity with hardware accelerators (e.g., NVENC, AMD AMF, Intel QuickSync).
• Deep understanding of video codecs such as H.264, H.265, and AV1.
• Deep understanding of audio codecs such as AAC and Opus.
• Proficient in one or more of the following libraries: FFmpeg, OBS, Media Foundation, ZLMediaKit, Sunshine, Moonlight or GStreamer, with a deep understanding of encoding and decoding across different hardware platforms.
• Knowledge of media streaming protocols such as RTSP, RTMP, WebRTC, and HLS.
• Skilled in image processing technologies such as OpenGL and Direct3D, with an understanding of the collaborative working methods between these technologies.
• Strong C/C++ programming skills, experience with performance optimization.
• Excellent debugging and problem-solving skills.
• Good communication skills and ability to work in a collaborative environment.

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Key responsibilities include:

• Designing and executing test cases to ensure functionality, compatibility, performance, stability, security, and user experience.
• Utilizing automation testing tools and frameworks to design and maintain UI automation test scripts, improving regression testing efficiency.
• Identifying and tracking defects, collaborating with developers to quickly locate problem roots, and driving issue resolution.
• Participating in agile development processes, ensuring testing activities align with development progress, and ensuring high-quality product releases.

Requirements include:

• Bachelor's degree or higher in Computer Science, Software Engineering, or related field, with at least 3 years of mobile app testing experience.
• Proficiency in Android and iOS platform features, testing points, release processes, and common debugging tools.
• Familiarity with at least one mainstream mobile-end automation testing framework, such as Appium or Airtest, with practical scripting experience.
• Basic knowledge of performance testing methods and ability to use tools to monitor and analyze app memory, CPU, and power consumption.
• Familiarity with common packet capture tools and ability to perform interface testing; understanding of client-side basics and ability to read logs to identify issues.
• Clear and rigorous logical thinking, excellent analytical and problem-solving skills, and high sensitivity to product quality.
• Excellent communication skills and strong sense of responsibility, with ability to work actively and manage pressure.
• Good document writing habits, with ability to clearly write test plans, use cases, and reports.
• Good English document reading ability.

Preferred qualifications include:

• Experience with continuous integration, familiarity with integrating mobile-end automation testing on Jenkins or GitLab CI platforms.
• Experience with large or well-known internet companies' mobile app testing.
• Excellent English listening and speaking ability.

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Your responsibilities will include collecting, preprocessing, and analyzing large datasets to extract meaningful patterns and insights. You will choose appropriate machine learning algorithms based on the nature of the problem, dataset characteristics, and desired outcomes. You will develop and train machine learning models using programming languages like Python or R and frameworks such as TensorFlow or PyTorch.

You will identify and engineer relevant features from the data to enhance the predictive capabilities of machine learning models. You will integrate machine learning models into existing systems or develop new applications that leverage machine learning capabilities. You will optimize machine learning solutions for scalability and efficiency, particularly when dealing with large-scale datasets or real-time applications.

You will collaborate with cross-functional teams, including data scientists, software engineers, and business analysts. You will stay informed about the latest advancements in machine learning, artificial intelligence, and related technologies. You will address ethical considerations related to bias, fairness, and privacy in machine learning models.

You will maintain comprehensive documentation for machine learning models, including code, model architectures, and parameters. You will implement security measures to protect machine learning models and data from potential vulnerabilities. You will establish monitoring mechanisms to track the performance of deployed machine learning models over time.

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Key Responsibilities:

• Design & Development: Participate in designing and implementing efficient, reliable, and scalable AI Agent system architectures.

• Agent Core Capability Building: Develop the core modules of Agents, including but not limited to: task planning and decomposition, tool usage (APIs, functions), memory mechanisms (short-term/long-term), multi-step reasoning, and self-reflection capabilities.

• Large Language Model Integration & Application: Gain a deep understanding of and integrate various large language models (e.g., GPT, Claude, DeepSeek), leveraging their capabilities for prompt engineering, chain-of-thought optimization, and building complex Agent workflows.

• Tool Ecosystem Development: Develop and manage a suite of tools (e.g., web search, database query, code execution, software API calls) for Agents, expanding their capability boundaries.

• Evaluation & Iteration: Establish a scientific evaluation framework for the continuous testing, measurement, and iterative optimization of AI Agent performance, reliability, and safety.

• Technology Exploration: Stay abreast of the latest research advancements in the AI Agent field (e.g., ReAct, COT, LangChain, AutoGPT) and apply cutting-edge techniques to real-world products.

Qualifications:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related field.

• Proficiency in Python programming, with solid software engineering skills and good coding practices.

• Hands-on experience in application development using Large Language Models (LLMs), familiar with common LLM APIs and usage patterns.

• Understanding of fundamental AI Agent frameworks and concepts (e.g., ReAct, Tool Use).

• Excellent problem-solving skills, teamwork spirit, and communication abilities.

Pre-Requisites:

• Familiarity with vector databases and Retrieval-Augmented Generation (RAG) technology.

• Some understanding and application experience with multimodal models (vision, speech).

• Relevant open-source projects on GitHub or a technical blog demonstrating passion and understanding of AI technology.

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What you'll do

Collaborate with stakeholders to understand business objectives and define problems that can be addressed through machine learning and artificial intelligence.

• Collect, preprocess, and analyze large datasets to extract meaningful patterns and insights.

What you need

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.

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What you'll do

This role focuses on the design and development of screen recording and streaming functionalities on Windows platforms, utilizing advanced audio/video encoding/decoding technologies and hardware accelerators. The ideal candidate will work on real-time, low-latency, and high-quality media processing, collaborating across teams to optimize video/audio streaming and debugging related issues.

• Design and develop screen recording and streaming functionalities on Windows platforms.
• Implement and optimize video encoding and decoding pipelines using hardware encoders such as NVENC, AMD AMF, and Intel QuickSync.

What you need

• Bachelor’s degree in computer science, software engineering, or a related field.
• Proficiency in video encoding/decoding and familiarity with hardware accelerators (e.g., NVENC, AMD AMF, Intel QuickSync).

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