> Markdown version of [/jobs/ext/1419538-senior-ml-software-engineer-integration-quality](https://www.wearedevelopers.com/jobs/ext/1419538-senior-ml-software-engineer-integration-quality). 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 ML Software Engineer - Integration & Quality - **Company:** Cerebras Systems - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Systems Engineering, Build Automation, C++ (Programming Language), Cloud Computing, Compilers, Profiling, Computer Programming, Software Debugging, Programming Tools, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, System Testing, Systems Integration, AI Infrastructure, Large Language Models, Containerization, AI Platforms, Integration Tests, Hardware Acceleration, Machine Learning Operations, Golang, Microservices - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ff53b7770c54fb2a ## About the Role * ~5 years of experience in software engineering, systems engineering, or infrastructure development. * Strong programming skills in Python, C++, Go, or similar languages. * Experience debugging complex systems or distributed software environments. * Familiarity with systems-level development, infrastructure tooling, or platform integration. * Experience building automation tools, testing frameworks, or internal developer tooling. * Strong problem-solving skills and the ability to investigate issues across multiple system layers. * Excellent communication and collaboration skills. Preferred Skills * Experience working with machine learning infrastructure or ML model deployment. * Familiarity with LLM or multimodal model workloads. * Experience with distributed systems, cloud infrastructure, or large-scale compute clusters. * Exposure to performance debugging, profiling, or system observability tools. * Experience with microservices, containerized environments, or cluster orchestration. * Exposure to hardware accelerators, compilers, or ML frameworks. ## Description We are looking for a Software Engineer to join the ML Integration and Quality team at Cerebras. This team sits at the intersection of machine learning infrastructure, distributed systems, and hardware/software co-design. In this role, you will help integrate and validate the software stack that powers the Cerebras AI platform, ensuring large-scale ML workloads run reliably and efficiently across our systems. You will work closely with engineers across runtime, compiler, kernel, and hardware teams to debug complex issues, improve automation, and strengthen the reliability of our AI infrastructure. This is an excellent opportunity for engineers who enjoy working across the stack, debugging complex systems, and improving the reliability of large-scale AI platforms. Responsibilities * Integrate and validate software components across the Cerebras AI platform. * Collaborate with engineers across ML runtime, compiler, kernel, and hardware teams to ensure reliable feature integration. * Investigate and debug complex issues across distributed systems and large-scale ML workloads. * Build automation tools and infrastructure to support integration testing, system validation, and debugging workflows. * Develop and maintain testbeds used to validate system performance and reliability. * Identify system bottlenecks, failure points, and edge cases that impact ML workload performance. * Contribute to test plans and validation strategies for new features and platform capabilities. * Improve observability, diagnostics, and debugging workflows across the ML software stack. * Work with product and engineering teams to ensure high-quality releases of the Cerebras inference platform. ## Related Videos - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Code to Road in < 12 hours](https://www.wearedevelopers.com/videos/1082-code-to-road-in-12-hours) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)