What you'll be doing:
Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.
Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.
Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.
Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.
Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.
What we need to see:
B.Sc. in Computer Science, or a related engineering field.
3+ years of professional software development experience.
A proven track record of technical ownership, driving a technical agenda, and problem solving.
High-level Python development skills, building robust, well-structured, production-grade applications.
C/C++ experience, especially for performance-critical or low-level components.
Experience with modern CI/CD pipelines and DevOps practices.
Ways to stand out from the crowd:
Linux systems knowledge, including software packaging (RPM, DEB), and an understanding of the complexities of software distribution and dependencies.
Experience with the Python data analysis and visualization frameworks (e.g., h5py, pandas, NumPy, Matplotlib/Plotly).
Experience with Slurm, Kubernetes, MPI, or other distributed job orchestration and cluster management systems.
Familiarity with agentic AI concepts or frameworks (e.g., RAG techniques, LangChain, LangGraph, LlamaIndex, etc.).
Experience contributing to open-source projects.
