Sr. Staff Post Silicon Validation Engineer

  • Austin, TX
  • Posted 60+ days ago | Updated 5 days ago

Overview

On Site
Full Time

Skills

FOCUS
Artificial Intelligence
Test Plans
IPS
CPU
GPU
NOC
ISP
Neural Network
Emulation
Use Cases
Computer Hardware
Hardware Development
Firmware Development
Automated Testing
Power Management
DRAM
Ethernet
ARM
x86
Integrated Circuit
RTL
Intellectual Property
IP
System On A Chip
Mechanical Engineering
Manufacturing
FAE
JTAG
GDB
Assembly
Data Analysis
Systems Analysis/design
Testing
Linux
Scripting
Electrical Engineering
Computer Science
Debugging
Interfaces
DDR SDRAM
PCI Express
C
C++
Python
Schematics
PCB Design
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance

Job Details

The candidate will focus on developing Post-Silicon validation plan, debug tools, and infrastructure for Tesla's custom SoCs and Platform designs for Autopilot and AI. As a Senior member in the Silicon Validation team, the candidate will interface with many different cross functional teams as well as external vendors/partners to create detailed bringup and validation test plans for the IPs within the SOC like CPU, GPU, NOC, Memory, ISP, Neural Net Accelerator etc., and apply the plan in emulation, post-silicon, and platform use cases. In addition, the candidate will be tuning the IP blocks inside the SoC for optimal power/functional performance, and troubleshoot complex hardware bugs and field returns. The candidate will regularly take part in hardware design and schematics review, firmware development, and building automated test infrastructures for running large volume of post silicon system level tests.
The ideal candidate will need to have a deep understanding of Silicon Architecture, especially around different blocks in SoC like compute blocks, caches, interconnects, clock, power, reset, interrupts, MMUs, different power management schemes, and interaction with board level components like DRAM, PCIe, Ethernet etc.

Responsibilities
  • Experience in design/debug of ARM or x86 System on Chip Architectures
  • Experience with multiple debug methodologies from System/OS level down to RTL level
  • Experience collaborating with IP vendors and Foundry Services for SOC design, development, and production
  • Experience collaborating with cross functional teams like SW, EE, Mechanical, Thermal, Reliability, Manufacturing, and FAE
  • Experience with JTAG, GDB and assembly code debug
  • Experience with Statistical Data Analysis and Design of Experiments
  • Experience with Electrical Testing and Protocol Analyzer equipment
  • Familiar with Linux OS and Scripting

Requirements
  • Bachelors Degree in Electrical Engineering, Computer Science Engineering, or equivalent major with 12+ years of relevant work experience or equivalent experience
  • Experience in debug/bringup of one or more of high speed interfaces (DDR, PCIe, CSI, UFS, etc.
  • Experience in Programming in C/C++ or Python
  • Familiar with Schematics and PCB design

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program
    Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.