Sr. Principal Engineer Machine Learning (MLA) Verification (AI2293)

Job Title: Sr. Principal Engineer Machine Learning (MLA) Verification 

Job Location: San Jose, CA

Job ID: AI2293

Job Description:   

• Participate in MLA architecture, micro-architecture and feature discussions and reviews  
• Define and develop  MLA test bench components using UVM & SystemVerilog  
• Develop DV reference models as needed in C or SystemVerilog  
• Develop and execute a test plan  
• Verification execution of MLA and MLSoC functionality and performance measurements  
• Lead Code coverage reviews and closure. SystemVerilog Assertion functional coverage development and closure  
• Manage debug test and regression failures, as well emulation failures   
• Work  closely with the Architecture, MLSoC Hardware and MLA Software teams  

• BS/MS in EE (Electrical Engineering) or CS (Computer Science) with 15+ years of experience in functional verification of pipe-line based design preferably MLAs, DSPs, CPUs or GPUs  
• Very good experience of UVM and SystemVerilog based verification methodology is a must  
• Proficiency in C/C++ programming is a plus  
• Working experience on emulation is a plus 
• Skill set for silicon debug on the lab/board set-up
• Good debug and problem solving skill  

Personal attributes: 

Can-do attitude. Strong team player. Curious, creative and good at solving problems. Execution and results-oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills. 

The annual salary for this position ranges from $240,000 - $305,000. The actual annual salary paid for this position will be based on several factors, including but not limited to, skills, prior experiences, qualifications, expertise, work location, total target compensation, training, company needs, and current market demands. The annual salary range for this position is subject to change and may be adjusted in the future.   

EEO Employer: SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.