GPU Design Verification Engineer
📌Folsom, United States of America 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
💰 121050
hybrid
Job Description:
As an GPU Design Verification Engineer your responsibilities will include but are not limited to:
- Performing functional verification of graphics logic components, including 3D graphics, media, and display, to ensure design will meet specification requirements.
- Defining and develops scalable and reusable IP verification plans, test benches, and architecture for verification environment to ensure coverage to confirm to graphics microarchitecture specifications.
- Executing verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs. Replicates, root causes, and debugs issues in the presilicon environment.
- Finding and implementing corrective measures to resolve failing tests.
- Collaborating with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals.
- Documenting test plans and drives technical reviews of plans and proofs with design and architecture teams.
- Maintaining and improving existing functional verification infrastructure and methodology.
-
Participating in the definition of verification infrastructure and related TFMs needed for functional design verification.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
- Bachelor’s with 1+ year of related experience or Master’s Degree
-
1+ years of experience with System Verilog, Universal Verification Methodology (UVM), and/or constraint random verification
-
Bachelor’s with 4+ year of related experience or Master’s Degree with 2+ years of related experience
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location:
US, California, Folsom
Additional Locations:
US, California, San Jose, US, Oregon, Hillsboro
Business Group
The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center. Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences.
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
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
https://jobs.intel.com/en/benefits
Annual Salary Range for jobs which could be performed in the US:
$121,050.00-$170,890.00
S al ary range dependent on a number of factors including location and experience.
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.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Salary
💰 121050
-
Working model
hybrid
-
Skills
-
Industry
-
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