CUDA Jobs

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar DevOps and production deployment engineer that is well versed with Python, Docker & Amazon Web Services (AWS) to get our AI components into production and deployed. AI/ML experience is a plus, but not necessary. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running.  You will be responsible for: Building Python scripts to deploy our AI components into pipeline and production Developing logic to ensure multiple different AI components work together seamlessly Managing our daily pipeline on both on-premise servers and AWS Working closely with the AI engineering, backend and frontend teams You should have the following qualities: Deep expertise in Python including: Multiprocessing / multithreaded applications Class-based inheritance and modules DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend) Deep expertise in Docker-based virtualization including: Creating & maintaining custom Docker images Automated building and deployment CI/CD Experience with maintaining cloud applications in AWS environments Experience in deploying machine learning algorithms into production (e.g. tensorflow, keras, opencv, etc) is a plus Experience with running Nvidia GPU / CUDA-based tasks is a plus Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Required: Python, AWS, Docker, Multiprocessing / multithreaded programming, pymongo, sqlalchemy. Optional: AI, Machine Learning, Tensorflow, deploying Nvidia GPU / CUDA programs Seniority: We are looking for a mid-level engineerWork Experience:  2 years to 7 years Salary: Will be commensurate with experience.  Who Should Apply: If you have the right experience, regardless of your seniority, please apply. About Sizzle Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are a billion fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg.

Responsibilities Build automatic ground truthing and ML pipeline Working with large data sets and sanitization Training models on our internal training framework (DeepDetect) Working with NVIDIA Deepstream, Jetpack Flashing and testing our embedded platforms Collaborate with multidisciplinary product development teams to identify performance improvement opportunities and integrate trained models. Qualifications Fluent in C / C++ / Python / Cuda Know things about TensorFlow, softmax, ground truthing, and Keras Hands-on experience in SSD, Faster RCNN, ResNET Containers and Kubernetes Experience working with modern tools for big data processing and scalable machine learning (e.g., AWS, Kafka, Kinesis, Apache Spark, Hadoop, SQL, NoSQL). Experience with version control