Sr. DFT Verification Engineer, AI Hardware

About the role

The Tesla AI Hardware team is dedicated to advancing AI through innovative hardware. This includes designing and developing AI inference chips for Tesla's machine learning needs. Key projects include Dojo, a custom supercomputer for training large neural networks. The team's work underpins technologies like Full Self-Driving (FSD) and the development of Tesla's humanoid robot, Optimus.

Responsibilities

• Create Verilog/System Verilog/UVM test benches to verify various DFT features in RTL such as SSN, compressed and uncompressed scan, memory BIST, JTAG, and boundary scan at block and SoC-level
• Verify top-level features such as power-on self-test, clock observation, clock stop and scan dump
• Run DV regressions & analyze coverage, triage & debug failures
• Run gate level simulations
• Work with the RTL designers on identifying design fixes as needed
• Work with test engineers on delivering pre-Si DV testcases for silicon bring up
• Participate in silicon bring up and post silicon ATE correlation

Requirements

• Knowledge of testability techniques and features (1149.1, 1149.6, 1687, 1500, Scan, Built-in-Self-Test, Loop-Back etc.) covering digital logic domain, embedded memories and PHY/IOs
• JTAG/1500/1687 networks and languages BSDL, ICL and PDL
• Experience in general design verification methodology, regressions, simulation and debug tools
• Expertise in Verilog or System-Verilog
• Working knowledge of scripting languages such as TCL, python (or another scripting language such as Perl)
• Experience in triaging regressions, debugging, and resolving down to RTL or Testbench issues

Qualifications

• Degree in Computer Engineering or Electrical Engineering or equivalent experience

Skills

• Knowledge of testability techniques and features (1149.1, 1149.6, 1687, 1500, Scan, Built-in-Self-Test, Loop-Back etc.) covering digital logic domain, embedded memories and PHY/IOs
• JTAG/1500/1687 networks and languages BSDL, ICL and PDL
• Experience in general design verification methodology, regressions, simulation and debug tools
• Expertise in Verilog or System-Verilog
• Working knowledge of scripting languages such as TCL, python (or another scripting language such as Perl)
• Experience in triaging regressions, debugging, and resolving down to RTL or Testbench issues

Benefits

• Competitive pay
• Medical plans
• Dental (including orthodontic coverage) and vision plans
• Flexible Spending Accounts (FSA)
• Employee Stock Purchase Plans
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Tesla Babies program
• Employee discounts and perks program