our companys Networking Performance team develops advanced software tools that drive the optimization of the worlds fastest networking technologies. Our mission spans benchmarking, telemetry capture, and performance analysis, enabling both our company's R&D teams and our company's customers across the industry to root-cause bottlenecks, maximize throughput, and achieve world-class performance for AI and HPC workloads.
We are looking for a Senior Software Engineer to lead the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.
What you'll be doing:
Design and implement performance benchmarking frameworks for next-generation AI and HPC workloads
Take full technical ownership of our core telemetry engine
Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools
Collaborate with experts in networking, AI, and systems to translate performance engineering needs into powerful software solutions
Enhance our DevOps, 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.
We are looking for a Senior Software Engineer to lead the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.
What you'll be doing:
Design and implement performance benchmarking frameworks for next-generation AI and HPC workloads
Take full technical ownership of our core telemetry engine
Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools
Collaborate with experts in networking, AI, and systems to translate performance engineering needs into powerful software solutions
Enhance our DevOps, 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.
Requirements:
B.Sc. in Computer Science, or a related engineering field
5+ years of professional software development experience
A proven track record of technical ownership, making key architectural decisions, driving a technical agenda, and problem solving
Expert-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.
B.Sc. in Computer Science, or a related engineering field
5+ years of professional software development experience
A proven track record of technical ownership, making key architectural decisions, driving a technical agenda, and problem solving
Expert-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.
This position is open to all candidates.
