Senior software engineer evaluation
Job Summary
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs to every enterprise. We are looking for a Software Engineer in Test to work closely with our Machine Learning and Product teams to test and validate our cutting-edge Deep Learning Execution Engine and inference optimization products. As a core quality engineer in our AI inference teams, you will have the opportunity to actively participate in our product teams as well as the upstream vLLM community. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning, this is the role for you. What You Will Do- Testing the performance and accuracy of LLMs for vLLM and llama.cpp inference on different accelerators.
- Making awesome test plans and cases to hit product requirements.
- Doing all sorts of testing: functional, performance, regression, you name it, to make sure the product is solid.
- Writing test code and frameworks to automate testing.
- Monitoring, analyzing, and reporting test results and failures.
- Sharing your knowledge and recommendations to help the team keep getting better.
- Keeping everyone in the loop about quality efforts.
- Giving good and quick code reviews.
- At least 3 years of software testing experience.
- Solid experience evaluating LLMs for performance on accelerators and accuracy (think HellaSwag, MMLU, Chatbot Arena, TruthfulQA, etc.).
- Being super comfortable with Python and PyTest is a must.
- Familiarity with Git, GitHub, or GitLab.
- Strong experience with API and performance testing, especially for C++ and Python.
- You should be a pro with Docker, Podman, and Kubernetes or Openshift.
- Highly experienced in setting up CI/CD processes like Jenkins and GitHub Actions.
- Understanding of core Machine Learning algorithms and basics
- A Bachelor’s degree (or higher) in computer science, math, or a related field is cool, but practical experience and technical skills are what really matter.
- Knowing how to excel in Open Source communities.
- Understanding how application build pipelines work (like how code becomes binaries or Python wheels).
- A track record of contributing to the vLLM community is a huge plus!
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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