System Software Engineer – Performance Verification Infrastructure

Jobtailor; California (MO); On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor is recruiting a software engineer to build end-to-end performance verification infrastructure and scalable data pipelines for GPU architectures. You will collaborate with GPU architects and HW teams to streamline verification workflows and accelerate build cycles.

The role emphasizes C++/Python, system design, and exposure to Verilog basics, chip simulation, and AI tools, with a focus on delivering insights that push performance forward.

Qualifications

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 3+ years of software engineering experience with C++ and Python.
• Strong CS fundamentals, including data structures, algorithms, OOP, and system design.
• Verilog basics is a strong plus
• Experience with chip and/or system simulation/emulation a strong plus.
• Exposure to GPU/CPU/SoC chip performance verification and/or profiling on simulation/emulation/silicon is a strong plus.
• Familiarity with AI development tools.
• Excellent interpersonal skills.

Responsibilities

• Build and develop end-to-end performance verification infrastructure.
• Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.
• Coordinate with GPU architects to craft infrastructure for performance verification of upcoming architectures.
• Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
• Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds.
• Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!

Skills

C++ Programming

Python Programming

Data Structures

Algorithms

Object-Oriented Programming

System Design

Verilog Basics

Chip Simulation

System Emulation

Performance Profiling

Interpersonal Skills

Education

BS/MS in Computer Science or Computer Engineering

Job description

• Build and develop end-to-end performance verification infrastructure.
• Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.
• Coordinate with GPU architects to craft infrastructure for performance verification of upcoming architectures.
• Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
• Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds.
• Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!

Requirements

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 3+ years of software engineering experience with C++ and Python.
• Strong CS fundamentals, including data structures, algorithms, OOP, and system design.
• Verilog basics is a strong plus
• Experience with chip and/or system simulation/emulation a strong plus.
• Exposure to GPU/CPU/SoC chip performance verification and/or profiling on simulation/emulation/silicon is a strong plus.
• Familiarity with AI development tools.
• Excellent interpersonal skills.

Core Competencies

Demonstrates expertise in building end-to-end performance verification infrastructure and scalable data pipelines, with a strong foundation in C++ and Python programming. Familiarity with GPU/CPU/SoC performance verification and simulation tools is essential for optimizing workflows and enhancing chip architecture performance.

Highest-signal resume keywords

• C++ Programming
• Python Programming
• Performance Verification
• Data Pipeline Development
• GPU Architecture Collaboration

ATS Optimization Keywords

Hard Skills

• Software Engineering
• Data Structures
• Algorithms
• Object-Oriented Programming
• System Design
• Verilog Basics
• Chip Simulation
• System Emulation
• Performance Profiling

Soft Skills

• Interpersonal Skills

Industry Keywords

• GPU
• CPU
• SoC
• Performance Metrics
• Verification Workflows

Tools & Technologies

• AI Development Tools