📍 Job Overview

Job Title: GPU Performance Engineer
Company: Intel Corporation
Location: Virtual - USA CA
Job Type: Full-Time
Category: Hardware Engineering
Date Posted: July 29, 2025
Experience Level: Mid-Senior level (2-5 years)
Remote Status: Remote OK

🚀 Role Summary

Optimize Intel's new Graphics Processing Units (GPUs) to achieve best-in-class performance
Focus on 3D graphics rendering techniques, workload analysis, and performance bottleneck identification
Collaborate with hardware and software architects, designers, and developers in a multi-disciplinary environment
Drive innovation in graphics processing and computational capabilities

📝 Enhancement Note: This role requires a strong understanding of GPU architecture and rendering techniques, as well as the ability to work effectively across multiple groups.

💻 Primary Responsibilities

Performance Optimization: Analyze and optimize GPU performance using various techniques and algorithms
Workload Analysis: Evaluate GPU workloads to identify performance bottlenecks and areas for improvement
Hardware & Software Debugs: Conduct RTL debugs and performance bottleneck identification to enhance GPU efficiency
Collaboration: Work closely with cross-functional teams, including hardware and software architects, to integrate and optimize GPU performance

📝 Enhancement Note: This role requires strong communication skills and the ability to work effectively with diverse teams to drive GPU performance improvements.

🎓 Skills & Qualifications

Education: Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field

Experience: 3+ years of relevant experience in GPU architecture, RTL debugs, or related fields

Required Skills:

Knowledge of GPU architecture
RTL debugs experience
Strong communication skills
Ability to work across multiple groups

Preferred Skills:

Modern APIs and rendering techniques
Excellent coding skills
Experience with 3D graphics rendering techniques and algorithms

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with GPU architecture, rendering techniques, and performance optimization
Showcase projects that highlight your ability to analyze workloads and identify performance bottlenecks
Include live demos or examples of your work, if possible

Technical Documentation:

Document your approach to GPU performance optimization, including any relevant tools, techniques, or methodologies used
Include any relevant data or metrics that demonstrate the impact of your work on GPU performance

📝 Enhancement Note: While this role is not specifically focused on web development, a strong portfolio demonstrating your ability to optimize performance and analyze workloads will be essential for success.

💵 Compensation & Benefits

Salary Range: $153,540.00 - $216,770.00 per year (USD)

Benefits:

Health, retirement, and vacation benefits
Stock and bonuses
Find more information about all benefits here

Working Hours: 40 hours per week, with occasional on-site attendance based on business need

📝 Enhancement Note: Salary range provided is based on Intel's job posting and may vary depending on location, experience, and other factors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Semiconductor and Electronics Manufacturing

Company Size: Large (over 100,000 employees)

Founded: 1968

Team Structure:

The GPU Power Architecture group is a specialized team within the Software & AI Group
Collaborates with hardware and software architects, designers, and developers across multiple groups

Development Methodology:

Agile development processes, with a focus on continuous integration and collaboration
Emphasis on performance optimization, power efficiency, and scalability

Company Website: Intel Corporation

📝 Enhancement Note: Intel's large size and diverse teams require strong communication and collaboration skills to succeed in this role.

📈 Career & Growth Analysis

GPU Performance Engineer Role Level: Mid-Senior level role, focusing on GPU performance optimization and analysis

Reporting Structure: Reports to the GPU Power Architecture group manager, with potential cross-functional collaboration with other teams

Technical Impact: Directly impacts GPU performance, power efficiency, and user experience for a wide range of applications, including gaming, visualization, AI, and machine learning

Growth Opportunities:

Technical leadership roles within the GPU Power Architecture group or related teams
Opportunities to work on emerging technologies and cutting-edge projects
Potential to move into management or architecture roles, depending on career aspirations and performance

📝 Enhancement Note: This role offers significant growth potential for individuals interested in advancing their careers in GPU performance engineering and architecture.

🌐 Work Environment

Office Type: Virtual, with occasional on-site attendance based on business need

Office Location(s): Virtual - USA CA

Workspace Context:

Collaborative virtual workspace, with regular team meetings and communication
Access to relevant tools, resources, and hardware for GPU performance analysis and optimization
Opportunities for cross-functional collaboration with other teams and stakeholders

Work Schedule: 40 hours per week, with flexible scheduling to accommodate project deadlines and maintenance windows

📝 Enhancement Note: Intel's virtual work environment requires strong self-motivation, time management, and communication skills to succeed in this role.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate your technical skills and problem-solving abilities
Technical Phone Screen: Participate in a phone screen to discuss your experience and approach to GPU performance optimization
On-site Interview: Attend an on-site interview to meet the team, discuss your portfolio, and complete a technical deep dive
Final Decision: Receive a final decision based on your interview performance and fit with the team

Portfolio Review Tips:

Highlight your experience with GPU architecture, rendering techniques, and performance optimization
Include live demos or examples of your work, if possible
Emphasize your ability to analyze workloads and identify performance bottlenecks

Technical Challenge Preparation:

Brush up on your knowledge of GPU architecture, rendering techniques, and performance optimization strategies
Practice explaining your approach to GPU performance analysis and optimization in a clear and concise manner

ATS Keywords: GPU, Graphics Processing Unit, Performance Optimization, Rendering Techniques, Workload Analysis, RTL Debugs, Hardware & Software Debugs, Collaboration, Teamwork, Agile Development, Continuous Integration, Semiconductor, Electronics Manufacturing

📝 Enhancement Note: The interview process for this role is expected to be comprehensive and technical, with a strong focus on your experience and approach to GPU performance optimization.

🛠 Technology Stack & Web Infrastructure

GPU Technologies:

Intel's new Graphics Processing Units (GPUs)
Modern APIs and rendering techniques
3D graphics rendering techniques and algorithms

Performance Analysis Tools:

Intel's proprietary performance analysis tools and frameworks
Industry-standard tools for GPU performance analysis and optimization

Collaboration Tools:

Intel's internal collaboration platforms and tools
Industry-standard communication and project management tools

📝 Enhancement Note: While this role is not focused on web development, a strong understanding of GPU technologies and performance analysis tools is essential for success.

👥 Team Culture & Values

Intel Values:

Customer Obsessed
Results Driven
Inclusive
One Intel
Bold & Accountable

Collaboration Style:

Cross-functional collaboration with hardware and software architects, designers, and developers
Agile development processes and continuous integration
Strong emphasis on performance optimization, power efficiency, and scalability

📝 Enhancement Note: Intel's values and collaboration style require strong communication, teamwork, and a customer-focused mindset to succeed in this role.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Optimizing GPU performance for a wide range of applications, including gaming, visualization, AI, and machine learning
Identifying and addressing performance bottlenecks in complex GPU architectures
Staying up-to-date with emerging technologies and industry trends in GPU performance optimization

Learning & Development Opportunities:

Opportunities to work on cutting-edge projects and emerging technologies
Technical training and development opportunities within Intel and the broader industry
Potential to move into management or architecture roles, depending on career aspirations and performance

📝 Enhancement Note: This role offers significant technical challenges and growth opportunities for individuals interested in advancing their careers in GPU performance engineering and architecture.

💡 Interview Preparation

Technical Questions:

GPU Architecture: In-depth questions about GPU architecture, rendering techniques, and performance optimization strategies
Workload Analysis: Questions about workload analysis, performance bottlenecks, and optimization techniques
Problem-Solving: Scenario-based questions that test your ability to analyze and optimize GPU performance in real-world situations

Company & Culture Questions:

Intel's GPU Power Architecture Group: Questions about the team's structure, dynamics, and collaboration style
Intel's Company Culture: Questions about Intel's values, culture, and approach to performance optimization and power efficiency
Your Fit with the Team: Questions about your communication style, teamwork skills, and ability to work effectively with diverse teams

Portfolio Presentation Strategy:

Highlight your experience with GPU architecture, rendering techniques, and performance optimization
Include live demos or examples of your work, if possible
Emphasize your ability to analyze workloads and identify performance bottlenecks

📝 Enhancement Note: The interview process for this role is expected to be comprehensive and technical, with a strong focus on your experience and approach to GPU performance optimization.

📌 Application Steps

To apply for this GPU Performance Engineer position:

Submit your application through the Intel job portal
Tailor your resume and portfolio to highlight your experience with GPU architecture, rendering techniques, and performance optimization
Prepare for the online assessment, technical phone screen, and on-site interview by brushing up on your knowledge of GPU performance optimization strategies and practicing your communication skills
Research Intel's company culture, values, and approach to performance optimization and power efficiency to ensure a strong fit with the team

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

GPU Performance Engineer