Home/Jobs/Architect –

- AI-Powered Performance Verification Automation

Architect –
- AI-Powered Performance Verification Automation

Nvidia

Bengaluru

3+ years

Today

$48.2K–77.1K/yr

Full time

Hybrid

Skills Required

LLM

RAG

LangChain

Agentic AI

Gen AI

Prompt Engineering

OpenAI reinforcement learning formal methods

Python

C++

SystemVerilog

UVM

PyTorch

TensorFlow

Description

NVIDIA is seeking a motivated engineer to transform performance verification workflows using AI and automation, enhancing verification cycles and reducing manual effort.

Company: NVIDIA

Location

Experience

- 3+ years of experience in hardware verification, performance validation, or EDA tool development

Qualification

- B.Tech in Electrical Engineering, Computer Science, or related field
- M.Tech in Electrical Engineering, Computer Science, or related field
- PhD in Electrical Engineering, Computer Science, or related field

Responsibilities

- Automate verification workflows by building AI/ML-based tools that generate, triage, and analyse performance test cases and results
- Develop intelligent agents to identify performance regressions, root-cause failures, and recommend corrective actions
- Integrate LLM-based assistants into existing verification infrastructure for natural-language querying of results, specs, and coverage data
- Design data pipelines to collect, curate, and label verification data for model training and continuous improvement
- Collaborate with verification engineers to understand pain points, define automation priorities, and validate AI-driven solutions
- Establish metrics and dashboards to measure automation impact including cycle time reduction, coverage improvement, and engineer productivity




- Stay current with state-of-the-art techniques in generative AI, reinforcement learning, and formal methods as applied to hardware verification

Additional Responsibilities

- Work on projects to improve next generation visual computing, automotive, GPU, HPC systems
- Work on high performance CPU and Memory sub-systems, Next-Gen GPUs, NOC based Interconnect Fabric

Nice To Have

- Experience applying ML to EDA or verification problems such as coverage closure, bug prediction, test generation
- Familiarity with RAG architectures, prompt engineering, and agentic AI frameworks like LangChain and CrewAI
- Knowledge of NVIDIA GPU/SoC architecture or similar complex hardware platforms
- Published work or patents in AI-for-verification or related domains

More Skills C/C++, SystemVerilog/UVM, ML/AI frameworks, scikit-learn, LLM APIs, NVIDIA NIM/NeMo, performance verification methodologies, benchmarking, profiling, regression analysis, CI/CD pipelines, infrastructure automation

Prepare for this role

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