This job has expired

This job posting is no longer active and is not accepting applications. Explore similar roles below!

NetApp
Posted 3d ago

Performance Engineer (Cloud Data Plane Engineering)

NetApp
San Jose, California, United States
$148k-$220k/yrOnsiteFull Time
Responsibilities
  • designing benchmarks
  • analyzing performance
  • developing tools
Requirements
  • Requires 4+ years of experience
  • A bachelor's
  • Master's, or PhD in electrical engineering or computer science, and expertise in performance analysis
  • Cloud systems, AI/ML
  • Python, shell, and benchmarking
Technical tools mentioned
PythonPerlJupyterCAI/ML

Job description

Title: 
Performance Engineer (Cloud Data Plane Engineering)

Location: 

San Jose, CA, US, 95128




Requisition ID: 
135203

Job Summary

Design, develop, analyze, and optimize cloud software and performance capabilities for cloud storage services and distributed systems. In this role you will collaborate with cross-functional engineering teams to model, measure, analyze, and improve the performance, scalability, and cost-efficiency of cloud platforms—ensuring customer and market requirements are met while balancing quality, cost, and time-to-market. The ideal candidate is systems-focused, analytical and creative, and driven to deliver measurable performance improvements at cloud scale.

Responsibilities

  • Design and execute performance benchmarks/workloads; measure, analyze, interpret, and socialize results to identify improvement opportunities.
  • Apply AI-assisted performance engineering techniques and develop tools (e.g., performance analysis, automated regression triage, and ML-based capacity planning) to accelerate bottleneck analysis and guide optimization priorities.
  • Evaluate design alternatives and prototype performance enhancements across cloud services and distributed components.
  • Collect and analyze customer experience signals and usage patterns; prepare findings and recommendations for engineering and management. 

Job Requirements

  • A minimum of 4 years of experience is required.
  • Knowledge of performance analysis, modeling techniques, benchmarking, and workload characterization.
  • Understanding of performance tradeoffs when designing for multi-tenant, elastic cloud environments (latency, throughput, cost, and reliability).
  • Hands-on experience applying AI/ML techniques to performance engineeringUnderstanding of AI/ML workloads and their impact on cloud storage performance.
  • Strong foundations in operating systems, data structures, and standard programming practices; systems programming in C is highly desirable.
  • Proficiency with scripting and automation (Python, shell; Perl acceptable) and comfort working with notebooks (e.g., Jupyter). 

Education

  • A Bachelor of Science, Master of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent experience is required. 

Compensation:
The target salary range for this position is 147,900 - 220,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 


Nearest Major Market: San Jose


Nearest Secondary Market: Palo Alto


Job Segment: Engineer, Cloud, Electrical Engineering, Electrical, Computer Science, Engineering, Technology

About NetApp

Provides enterprise data storage and cloud data management software.

Similar jobs

Performance Engineer roles near San Jose, California
2d
Save
Mark Applied
Hide
Machine Learning Performance Engineer - Offboard Training & Inference
Sunnyvale or Washington, D.C. or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
$215k-$285k/yr OnsiteFull Time
Applied Intuition
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
ML performance engineering experience with distributed training, batch inference, GPU or accelerator optimization, Python, and C++ or another systems language; strong debugging and analytical skills required.
FSDP, DeepSpeed, Megatron, NCCL, NVIDIA Triton Inference Server, TensorRT, ONNX Runtime, Ray, Python, C++, CUDA, Triton, CUTLASS, Nsight Systems, Nsight Compute, PyTorch Profiler, perf, Kubernetes, Slurm, ROS, OpenCV
2w
Save
Mark Applied
Hide
Senior Performance Engineer - DGX Cloud
Santa Clara or Austin or Redmond or Oregon or Washington
$224k-$431k/yr HybridFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years experience; BS or higher in CS/CE or equivalent; strong C++ and Python skills; foundation in OS, computer architecture, distributed systems; performance engineering and profiling experience.
C++, Python, CUDA, PyTorch, JAX, XLA
2w
Save
Mark Applied
Hide
Senior Performance Engineer - DGX Cloud
Santa Clara or Austin or Redmond or Washington or Oregon
$224k-$431k/yr HybridFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOE12+ years experience, strong C++ and Python programming, foundations in OS/architecture/distributed systems, performance engineering and profiling experience, BS in CS/CE or equivalent.
C++, Python, CUDA, PyTorch, JAX, XLA
3w
Save
Mark Applied
Hide
Performance Engineer
San Jose, California, United States
$135k-$170k/yr OnsiteFull Time
Astera Labs
Astera LabsNASDAQ: ALAB: Designs connectivity solutions for cloud and AI infrastructure.
2+ YOEBachelor's in engineering/computer science, experience benchmarking and characterizing GPU cluster performance, proficiency with performance tooling and scripting (Python); strong systems and networking knowledge.
NVBandwidth, NCCL, Confluence, CUDA, MPI, Python, COSMOS, NVLink, PCIe, Ethernet, UALink, UEC
3w
Save
Mark Applied
Hide
Senior Performance Engineer
San Francisco, California, United States
$170k-$205k/yr OnsiteFull Time
Crusoe
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
Expertise in Linux kernel systems, low-level optimization, performance benchmarking, and high-performance coding in Go/C/C++/Rust. Bachelor's degree or equivalent experience and cross-functional collaboration skills.
Go, C, C++, Rust, Linux
1mo
Save
Mark Applied
Hide
CoDesign & NextGen Performance Engineer
Sunnyvale or Toronto
OnsiteFull Time
Cerebras Systems
Cerebras SystemsNasdaq: CBRS: Manufactures specialized computer chips designed for AI.
3+ YOE3+ years experience in computer architecture/performance, strong analytical skills, low-level deep learning math exposure, experience with simulators, kernel optimization, and performance profiling; comfortable with C++ and Python.
C++, Python
1mo
Save
Mark Applied
Hide
Senior Performance Engineer - Apple Frameworks
Cupertino, California, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Analyze system and UI architecture, establish performance baselines, diagnose and resolve complex performance issues, and build regression-prevention mechanisms.
1mo
Save
Mark Applied
Hide
Senior Performance Engineer
San Jose, California, United States
$138k-$206k/yr OnsiteFull Time
Samsung Semiconductor
Samsung SemiconductorKorea Exchange: 005930: Designs and manufactures memory chips, processors, and sensors.
0+ YOEAdvanced degree in CS/CE/EE or equivalent experience; strong LLM systems and NVIDIA GPU performance knowledge; experience profiling AI workloads with Nsight tools; proficiency in Python and C++; experience with PyTorch, DeepSpeed, Ray, or similar.
Nsight Systems, Nsight Compute, Python, C++, PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, Megatron-LM
This job has expired