Senior Systems Performance Engineer

NVIDIA

. Develop and tune synthetic GPU workloads using CUDA or GPU programming DSLs and application workload recipes using AI training and inference frameworks .

Posted 10/31/2026full-timeUnited StatesSenior💰 $136,000 - $258,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and tuning synthetic GPU workloads using CUDA and AI frameworks, with a strong focus on performance modeling and system-level analysis. Proven ability to collaborate across teams to enhance workload efficiency and reliability through automation and rigorous experimentation.

Highest-signal resume keywords

CUDA ProgrammingAI Workload OptimizationPerformance ModelingPython ProgrammingSystems Performance Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GPU ProgrammingPerformance AnalysisWorkload TuningAnalytical ModelingExperiment DesignTelemetry InterpretationDebuggingAutomation DevelopmentCUDA Kernel OptimizationData Analysis

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

PyTorchTensorRT-LLMVLLMSGLangNVIDIA DynamoNCCLCUDA Profiling ToolsLinux EnvironmentsNVLinkPCIe

Industry Keywords

Computer ArchitectureAccelerated ComputingPerformance EngineeringSystem DebuggingDistributed GPU Systems

Tech Stack

Tools & technologies

LinuxPythonPyTorch

About the role

Key responsibilities & impact

Develop and tune synthetic GPU workloads using CUDA or GPU programming DSLs and application workload recipes using AI training and inference frameworks
Onboard and adapt state-of-the-art AI training and inference workloads to new GPU platforms
Apply architectural analysis and develop system-level performance models to characterize workload behavior, identify bottlenecks, and guide workload selection and stress coverage
Design controlled experiments and correlate model predictions with workload profiles, system telemetry, and measured results
Investigate differences and refine workloads, models, and test strategies
Analyze performance anomalies, workload correctness, and hardware and software failures
Create reproducible cases and partner with architecture, design, and software teams to drive fixes and verify improvements
Build automation for workload deployment, experiment execution, telemetry collection, and analysis across systems and configurations

Requirements

What you’ll need

BS in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience
5+ years of relevant experience in systems performance engineering, performance modeling, accelerated computing, or complex system development and debug
Deep understanding of computer architecture, including GPU and CPU execution, memory hierarchies, interconnects, and their impact on application performance
Experience developing analytical or simulation-based performance models and validating predictions against measurements from running systems
Hands-on experience deploying, profiling, and tuning AI training or inference workloads using PyTorch, TensorRT-LLM, vLLM, or SGLang
Strong Python programming and data analysis skills, including designing controlled experiments, interpreting telemetry, and communicating findings
Working knowledge of CUDA and GPU profiling tools, with the ability to connect application behavior to hardware utilization and bottlenecks
Experience debugging workloads and system behavior in Linux environments, and collaborating across hardware and software teams
Experience with NVIDIA Dynamo, TensorRT-LLM, vLLM, SGLang, or NCCL
CUDA kernel development or optimization experience using cuBLAS, CUTLASS, or related libraries
Familiarity with x86/Arm servers, NVLink, PCIe, InfiniBand/Ethernet, and distributed GPU systems
Experience using hardware error, power, thermal, and reliability telemetry to develop targeted stress coverage and isolate failures
A track record of building automation and turning experimental findings into measurable improvements in performance, coverage, or product quality

Benefits

Comp & perks

Comprehensive benefits package
Equity
Competitive salary