> Markdown version of [/jobs/ext/4608252-senior-software-engineer-ai-infrastructure-compute-multiple-positions](https://www.wearedevelopers.com/jobs/ext/4608252-senior-software-engineer-ai-infrastructure-compute-multiple-positions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, AI Infrastructure Compute (Multiple Positions) - **Company:** Beijing ByteDance Technology Co Ltd - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $206,086.0 - $300,960.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Bash Shell, Cloud Computing, Information Systems, Continuous Integration, Distributed Systems, Fault Tolerance, Python (Programming Language), Machine Learning, Tensorflow, Ruby, Software Engineering, Software Systems, AI Infrastructure, Cloud Platform System, Pytorch, Multi-Agent Systems, Reliability of Systems, AI Platforms, Kubernetes, Information Technology, Software Coding, AIOps, Docker, Golang - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-ai-infrastructure-compute-multiple-positions-seattle-wa--a46d9d28-bf34-404e-b74d-cc98e53df01d ## About the Role Software Engineering, Artificial Intelligence (AI), Content Development, Problem Solving Skills, Machine Learning, Computer Systems, Computer Science, Systems Reliability, Distributed Computing, Mathematics, Responsibilities Build large-scale and highly available cloud infrastructure to support the company's compute infrastructure platform. Design, build, and maintain compute systems to streamline the training and deployment of large-scale machine learning models. Develop and build high-performance, distributed infrastructure to support artificial intelligence (AI) workflows. Take ownership of the technical stack, transitioning experimental machine learning models into production services while ensuring system reliability, observability, and fault tolerance in multi-agent environments. Take ownership of the observability of the company's AI platforms, including monitoring health, identifying performance bottlenecks, and making recommendations to drive platform reliability. Write research papers and file technical patents capturing work in cloud infrastructure, AIOps, and distributed computing.Qualifications Must have a PhD degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Information Technology, Mathematics, or a related field, and 1 year of related work experience, or a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems, Information Technology, Mathematics, or a related field, and 4 years of related work experience. Of the required experience, must have 1 year of experience in each of the following: Designing and implementing large-scale, distributed online software services using C, Java, Go, JavaScript, Ruby, or Python; Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow; Developing CI/CD tools in Python and writing automation Bash Shell scripts; Designing scalable and high available software systems for cloud environments; Developing docker containers for multiple services and deploying, managing, and monitoring them in Kubernetes cluster; and Automating and managing the full release lifecycle, including code development, build, testing, validation, and deployment.