GPU Design Verification Engineer_Austin, TX/SanJose, CA(Onsite)_Only Xoriant W2

Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

TITLE:- GPU Design verification Engineer

LOCATION Austin, TX (Onsite)

DURATION 6+ Months (Will get extend)

MODE OF INTERVIEW Onsite

RATE As per market only Xoriant W2 (No Vendor employees)

JOB DESCRIPTION

We are looking for an experienced GPU Design Verification Engineer to ensure the correctness, performance, and quality of next-generation GPU architectures. In this role, you will be responsible for planning, developing, and executing comprehensive verification strategies that validate GPU functionality, performance characteristics, and power efficiency against defined specifications.

You will design, build, and maintain robust verification environments and testbenches using System Verilog, UVM, and C++, enabling thorough validation of complex GPU subsystems. This includes creating sophisticated test scenarios, defining functional and performance coverage models, and ensuring all critical design features are adequately verified.

The role requires deep hands-on debugging skills to analyze simulation results, identify root causes of design issues, and work closely with RTL, architecture, and software teams to drive timely resolution. You will collaborate across disciplines to ensure verification activities align with overall project goals, schedules, and technical requirements.

Additionally, you will be responsible for maintaining accurate documentation of verification plans, methodologies, test cases, and results, contributing to best practices and continuous improvement within the verification process.

Qualifications

• Extensive experience in hardware design verification, particularly GPU, CPU, or SoC designs

• Strong expertise in System Verilog and UVM-based verification environments

• Proficiency with scripting languages such as Python or Perl for automation and analysis

• Experience applying industry-standard verification methodologies and tools

• Excellent analytical, debugging, and problem-solving abilities

• Strong communication skills and a collaborative, team-oriented mindset

• Bachelor s, Master s, or PhD in Computer Science, Computer Engineering, or a related technical field, with significant hands-on verification experience

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