702,799open jobs
41,484companies
101,606added this week
Browse all
Salary
$194k – $388k per year (Estimated)
Location
Remote/Hybrid (Santa Clara, Hillsboro, United States)
Seniority
Staff · 12+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Intel is an American semiconductor company founded in 1968 by Robert Noyce and Gordon Moore and headquartered in Santa Clara, California. It created the x86 instruction set that still underpins most personal computers and servers, and designs and manufactures processors, chipsets, discrete graphics, networking silicon and AI accelerators. Unlike most of its competitors the company owns its fabrication plants, and it is investing heavily in Intel Foundry to manufacture chips for external customers while rebuilding its process technology leadership.

Job Details:

Job Description:

The Role and Impact

As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing.

Business group

The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology.

Key Responsibilities

- Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms.

- Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process.

- Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity.

- Conduct feasibility studies, board layout, tapeout, and platform power-on activities.

- Perform functionality tests and utilize tools to verify platform configurations and compatibility.

- Research, develop, and validate firmware, hardware, and circuitry processes to enhance GPU platform performance.

- Collaborate with multidisciplinary teams, including architecture, power, thermal, mechanical, and firmware, to address system development challenges and ensure optimal quality.

- Drive innovation in testing, manufacturing, and debugging processes for GPU systems, adhering to industry standards such as PCIe and OAM.

Qualifications:

Minimum Qualifications

- Bachelor's degree or equivalent in Electrical Engineering, Computer Engineering, or a related field.

- 12+ years of experience in hardware design and development with a Bachelor's degree OR 8+ years with a Master's degree OR 6+ years with a Ph.D.

- Proficiency in electronic design automation (EDA) tools and board layout software for PCB design.

- Deep understanding of electrical engineering principles, including power integrity, signal integrity, and thermal design.

- Knowledge of industry standards, such as PCIe and OAM, and familiarity with testing and validation methodologies for GPU platforms.

Preferred Qualifications

- Strong technical leadership skills with a proven track record of driving complex hardware development projects.

- Experience collaborating across disciplines, including architecture, firmware, and mechanical engineering teams.

- Excellent problem-solving abilities, with a focus on troubleshooting technical issues in hardware design and bring-up.

- Enthusiasm for innovation in high-performance computing and a commitment to delivering quality solutions.

We invite you to bring your expertise and passion for cutting-edge technologies to Intel and join us in shaping the future of computing. Be part of a collaborative environment where your contributions will make a lasting impact. Apply today.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Santa Clara

Additional Locations:

US, Oregon, Hillsboro

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $220,920.00-311,890.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
702,799 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Santa Clara
$125k – $236k per year (Estimated) • In office • Full-Time • 6+ years exp • Bachelor's Degree • Rio de Janeiro
AI/ML
Machine Learning
Apply
Structurer, Director 2 hours ago
$106k – $198k per year (Estimated) • Remote/Hybrid • Full-Time • London
Python
SQL
C++
Python
Flask
FastAPI
AI/ML
SciPy
Pandas
NumPy
Machine Learning
Management
Agile
Apply
$126k – $189k per year • Remote/Hybrid • Full-Time • Irving • Jacksonville
Python
Python
Flask
FastAPI
Databases
Chroma
Milvus
Pinecone
AI/ML
LangChain
Vertex AI
Gemma
NeMo Guardrails
Llama
Mistral
Pandas
NumPy
PyTorch
LLM
RAG
Google ADK
Hallucination
Hugging Face
LLM Guardrails
Agentic Workflows
Machine Learning
DevOps
OpenShift
CI/CD
Docker
Kubernetes
Apply
$60k – $75k per year • Remote/Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Chicago
Python
SQL
AI/ML
Machine Learning
Apply
$123k – $185k per year • Equity • In office • Full-Time • 7+ years exp • High School Diploma • Fridley
Python
SQL
Databases
Snowflake
Google BigQuery
Microsoft Fabric
BigQuery
AI/ML
Prompt Engineering
AI Agents
RAG
Human-in-the-Loop
Machine Learning
Analytics
Tableau
Power BI
Alteryx
Management
Power Automate
Power Apps
Apply
$125k – $236k per year (Estimated) • In office • Full-Time • 6+ years exp • Bachelor's Degree • Rio de Janeiro
AI/ML
Machine Learning
Apply
$115k – $228k per year (Estimated) • In office • Full-Time • 5+ years exp • High School Diploma • Chandler
Management
Microsoft Office
Apply
$20k – $53k per year (Estimated) • Remote/Hybrid • Full-Time • 10+ years exp • Malaysia
Apply
$70k – $151k per year (Estimated) • In office • Full-Time • 6+ years exp • Bachelor's Degree • Taipei
DevOps
Platform Engineering
Windows
Apply
$31k – $76k per year (Estimated) • In office • Full-Time • 4+ years exp • Bachelor's Degree • Bengaluru
Python
C++
Assembly
Assembly
WinDbg
AI/ML
Computer Vision
DevOps
Platform Engineering
Windows
Apply
$116k – $184k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Santa Clara
Python
AI/ML
Qwen
DeepSeek
vLLM
Gemma
Fine-tuning
SGLang
Ollama
Llama
PyTorch
OpenAI
Hugging Face
Apply
$216k – $345k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Santa Clara
DevOps
AWS
Marketing
Salesforce
Apply
$184k – $288k per year • In office • Full-Time • 10+ years exp • Bachelor's Degree • Santa Clara • Austin • Durham • Seattle
Verilog
C++
VHDL
AI/ML
CUDA Toolkit
CUDA
Apply
$152k – $242k per year • In office • Full-Time • 5+ years exp • PhD • Santa Clara
AI/ML
CUDA Toolkit
Triton Inference Server
Fine-tuning
RLHF
Quantization
JAX
Multimodal AI
Knowledge Distillation
TensorRT
TensorRT-LLM
Transformers
PyTorch
Synthetic Data
CUDA
Post-training
Megatron-LM
NVIDIA NeMo
NCCL
InfiniBand
NVLink
Speculative Decoding
Model Distillation
RLAIF
Machine Learning
Apply
$136k – $213k per year • In office • Full-Time • 12+ years exp • Bachelor's Degree • Santa Clara
Apply
See all jobs
This is one of many
702,799 more open roles from verified company boards, updated every day.