Nvidia Senior DFX Architect 

United States, California 

627370757

What You'll Be Doing:

• You will have the chance to define, prototype and deploy next generation DFX architectures and methodologies across all our products. This includes high speed test access architectures, the in-system-test architecture, ISO26262 functional safety diagnostic for in-field testing and beyond, silicon debug & bring-up, productization, and silicon life-cycle management among others

• As a member on our DFX Architecture team, your responsibility will be to craft key DFX architecture and methodologies to meet system level safety diagnostic test quality, in-field test quality, advanced defect screening and diagnosis to enable SLM for automotive, industrial, and robotics safety platforms etc.

• Collaborate with multi-functional teams like system architecture, chip architecture, ASIC design, verification, CAD, VLSI, SW development, and Operations teams to productize new methodologies

• Help the team with delivering efficient workflows and tools to help productize these features on industry's leading processors for deep learning, gaming, HPC and supercomputing

What We Need To See:

• BSEE (or equivalent experience) with 8+, MSEE with 6+ or PhD with 4+ years of experience in DFX architectures, system architectures, test quality improvement and/or ASIC design

• Knowledge of high speed interface architectures such as PCIe, USB3, DDR, UFS, NVME etc. is helpful and understanding of system level interactions of these interfaces is a plus.

• Understanding of the fundamentals of safety & security concept, RAS (Reliability, Availability, and Serviceability) requirements for safety platforms. (preferred)

• Good exposure in multi-functional areas including RTL, DFT, clocks, performance and power.

• Excellent analytical skills in verification and validation of logic on complex and multi-million gate designs using vendor tools.

• Experience in silicon debug and bring up on ATE or SLT platforms.

• Strong programming and scripting skills in Perl, Python or TCL desired.

• Outstanding written and oral interpersonal skills with the curiosity to work on unique challenges

• Degree in Computer Engineering, Computer Science, Electrical Engineering or related fields or equivalent experience. MS preferred.