Senior Benchmark & Performance Engineer – AI & Storage Systems

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades.

Requirements

• Design and execute performance benchmarks across AI, HPC, and storage platforms.
• Run and tune AI inference workloads using frameworks such as PyTorch, TensorFlow, Triton, NVIDIA NIMs, and vector databases.
• Benchmark large-scale RAG pipelines including data ingestion, retrieval, and inference performance.
• Profile and optimize MPI and multi-node distributed applications.
• Compile and debug C/C++, Python, and CUDA-based codes across heterogeneous systems.
• Generate automated test scripts and benchmarking workflows (e.g., with Bash, Python, or Slurm job scripts).
• Analyze and visualize results using Excel, Jupyter, or reporting tools; create comparison graphs and KPIs.
• Write clear, concise performance reports for both technical and non-technical stakeholders.
• Present findings internally and externally, translating results into architectural guidance for field engineers and sales teams.
• Collaborate with system engineers, product managers, and partners to tune and improve software/hardware stack performance.
• Validate and tune performance on storage systems including parallel file systems (e.g., Lustre, GPFS), object storage, and NVMe over Fabrics.
• Contribute to internal tooling to automate test cycles and performance regression tracking.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) or other retirement plan
• Paid time off