Ram Quality Engineer Jobs

Job Overview Wargaming is inviting talented Gameplay developers who are ready to learn a lot, take responsibility for the result of their work and meet the expectations of our players together with us. In our team you will have to solve interesting tasks related to the development of World of Tanks on the whole technological stack. What will you do? Participate in the creation of new game modes and logic on both game client and server using mainly Python; Develop high performance (in terms of memory and execution time) in-game components; Improve and develop the existing technology stack; Work with dozens of additional services and applications that make up the large-scale infrastructure of our project (payment systems, authorization systems, analytical data warehouses, etc.); Cover the functionality with tests. What are we looking for? Experience in commercial software development; Strong knowledge of basic data structures and algorithms; Development experience in Python; Knowledge of design patterns; Experience in developing asynchronous/multithreaded applications; Knowledge of CPU and memory principles (RAM, ROM, cache, virtual memory, swap file, etc.); Familiarity with databases, message brokers; Knowledge of the basics of computer networks. What additional skills will help you stand out? Experience in C++; Experience of working with distributed systems; Passion for computer games; Gamedev experience Work mode Hybrid (3 days of work from the office) This role is eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Prague include: 5 weeks of Annual Leave per calendar year Additional paid time off Sick Leave Compensation, Maternity & Paternity Leave Benefits Career development and education opportunities within the company Meal card contribution Public transportation allowance Premium private healthcare Mental well-being program (iFeel) Multisport Em

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need