DDN · 3 months ago
Senior Benchmark & Performance Engineer – AI & Storage Systems
United States
Full-time
Remote
Senior Level
7+ years expDataDirect Networks (DDN) is a global market leader in AI and data storage innovation. The Senior Benchmark & Performance Engineer will design, execute, and analyze benchmarks to optimize performance across various infrastructure stacks, focusing on AI workloads and storage systems.
AI InfrastructureArtificial Intelligence (AI)Big DataData StorageEnterprise SoftwarePredictive Analytics
Responsibilities
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
Qualification
Required
7+ years of experience in performance engineering, benchmarking, or HPC/AI systems
Deep experience with AI/ML and deep learning frameworks (PyTorch, TensorFlow, ONNX, Triton)
Familiarity with NVIDIA NIMs and containerized model serving stacks
Proven expertise with MPI, OpenMP, Slurm or similar schedulers in large-scale compute environments
Solid understanding of file and storage systems (e.g., POSIX, Lustre, S3, NVMe-oF)
Strong Linux skills (debugging, tuning, networking, storage stack)
Proficiency in scripting (e.g., Bash, Python) for job orchestration and result parsing
Ability to create clear Excel graphs and presentations from raw benchmark data
Strong communication skills — able to convey technical results and trade-offs to engineering and customer-facing teams
Preferred
Experience with RAG pipelines, vector databases (e.g., FAISS, Milvus, Qdrant)
Familiarity with Kubernetes and CSI-based persistent volume systems
Understanding of GPU profiling tools (Nsight, nvprof, PyTorch Profiler)
Knowledge of telemetry and monitoring frameworks (e.g., Prometheus, Grafana)
Prior work publishing or presenting technical performance results
Company
DDN
DDN (DataDirect Networks) is the world’s leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions.
1001-5000 employees
H1B Sponsorship
DDN has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (2)
2022 (4)
2021 (3)
Funding
Current Stage
Late StageTotal Funding
$309.9MKey Investors
Blackstone Group
2025-01-09Private Equity· $300M
2002-01-02Series A· $9.9M
Leadership Team
Alex Bouzari
Chairman, Co-Founder and CEO
Ivan Efremov
Contract Software Engineer
Recent News
2026-01-06
2025-11-22
2025-11-19
Company data provided by crunchbase