Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :We are seeking highly skilled AI Software Engineers to design, develop, and deploy AI-powered solutions. This role involves building scalable AI systems, integrating AI / Machine Learning (ML) models into applications, and optimizing AI workflows for production. You will collaborate closely with data scientists, software engineers, and DevOps teams to bring cutting-edge AI capabilities to life.Essential Duties and Responsibilities
Implement and optimize AI / ML models in production, via containerization (Docker, Kubernetes), for speed, accuracy and cost-effectiveness
Deploy AI models using RESTful APIs, gRPC, or edge computing solutions.
Implement monitoring, logging, and error-handling mechanisms to track AI performance.
Design APIs and microservices to integrate AI capabilities into software systems to ensure that they are secure, performant and well-documented
Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs (Service Level Agreements).
Build scalable, high-performance AI pipelines for real-time and batch processing.
Implement MLOps best practices, including CI/CD for machine learning workflows on both local machines and cloud platforms
Work closely with data scientists to turn research models into deployable solutions.
Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment.
Stay up to date with the latest AI/ML frameworks, tools, and industry trends in API, plugins development to continuously improve and enhance API solutions.
Identify opportunities to improve existing AI API / plugins architectures and suggest new features or services to add value to AI products.
Qualifications
5+ years of experience in AI/ML software development.
Proven track record of deploying AI solutions in production environments.
Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions.
Strong programming skills in Python, Java, or C++.
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
In depth understanding of containerization (Docker, Kubernetes) and DevOps practices.
Experience in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform) using Infrastructure as code tools such as Terraform and also cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML).
Experience with database management (SQL, NoSQL, and vector databases).
Knowledge of distributed computing (Spark, Dask) and parallel processing.
Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment
Excellent written and verbal communication skills for coordinating across teams.
Education & Experience
Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
Are you game?
Skills Required
- 5+ years of experience in AI/ML software development
- Proven track record of deploying AI solutions in production environments
- Strong experience in deploying AI models and API development using RESTful APIs, gRPC
- Strong programming skills in Python, Java, or C++
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- In depth understanding of containerization (Docker, Kubernetes) and DevOps practices
- Experience in developing AI applications on cloud infrastructure (AWS, Azure, GCP)
- Experience with database management (SQL, NoSQL, vector databases)
- Knowledge of distributed computing (Spark, Dask) and parallel processing
- Excellent written and verbal communication skills for coordinating across teams
Razer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Razer and has not been reviewed or approved by Razer.
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Healthcare Strength — Health coverage options include medical plan choices, dental, vision, HSA/FSA, and mental health/EAP, indicating solid core coverage. Global leave and healthcare frameworks are described, reinforcing consistency across locations.
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Retirement Support — A 401(k) with company matching and immediate vesting in some cases supports long‑term savings. This adds tangible value to the core total rewards package.
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Wellbeing & Lifestyle Benefits — Free in‑office lunches on several weekdays and notable employee discounts on company gear enhance day‑to‑day value. Volunteering time and donation matching further complement lifestyle and purpose‑oriented needs.
Razer Insights
What We Do
Razer™ is the world’s leading lifestyle brand for gamers. The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities. With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services. Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher). In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia. Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).
