Taro Logo

MLA IP Design Verification Engineer, Annapurna Labs

Amazon Web Services provides highly reliable, scalable, low-cost cloud infrastructure platform powering businesses in 190 countries.
$129,800 - $212,800
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Job Description

Amazon Web Services (AWS) is at the forefront of cloud computing, providing essential infrastructure that powers businesses across the globe. As part of the Cloud-Scale Machine Learning Acceleration team, this role offers an exciting opportunity to shape the future of machine learning hardware in AWS data centers.

The position combines hardware verification expertise with cutting-edge machine learning technology. You'll be responsible for ensuring the quality and functionality of advanced hardware solutions that drive AWS's machine learning capabilities. This involves developing comprehensive verification strategies, creating and executing test plans, and maintaining high standards of quality assurance.

The role offers significant professional growth opportunities within a collaborative and inclusive environment. AWS values diversity and maintains multiple employee-led affinity groups across 190 global chapters. The company's commitment to work-life balance is genuine, offering flexibility in working hours and encouraging employees to find their optimal balance between professional and personal life.

The team culture emphasizes mentorship and knowledge sharing, making it an ideal environment for professional development. With a mix of experience levels and backgrounds, team members benefit from collaborative learning and opportunities to tackle increasingly complex challenges. The position offers competitive compensation, comprehensive benefits, and the chance to work on technology that impacts millions of users worldwide.

This role is perfect for someone who combines strong technical verification skills with an interest in machine learning hardware, enjoys solving complex problems, and wants to contribute to building the future of cloud computing infrastructure. The position offers the unique opportunity to work with cutting-edge technology while being supported by AWS's robust engineering culture and resources.

Last updated 20 days ago

Responsibilities For MLA IP Design Verification Engineer, Annapurna Labs

  • Verifying/validating hardware and software solutions achieve desired functionality
  • Developing and executing multi-faceted verification/validation plans
  • Measuring team progress towards customer metrics
  • Building next generation cloud server platforms
  • Design and validation of machine learning hardware in data centers

Requirements For MLA IP Design Verification Engineer, Annapurna Labs

Python
  • BS Degree or Higher in EE or CS or CE
  • 3+ years of design verification experience using System Verilog and UVM
  • 3+ years of experience in testbench development including: stimulus, checkers, assertions and coverage

Benefits For MLA IP Design Verification Engineer, Annapurna Labs

Medical Insurance
Mental Health Assistance
  • Work-life balance
  • Flexible working hours
  • Mentorship opportunities
  • Career growth opportunities
  • Medical benefits
  • Employee-led affinity groups

Related Jobs

Machine Learning Engineer, Generative AI Innovation Center

AWS Machine Learning Engineer position focusing on developing and optimizing Large Language Models, offering competitive pay and the opportunity to work with cutting-edge AI technology.

Machine Learning Engineer, Gen AI Innovation Center, AWS

Machine Learning Engineer position at AWS Gen AI Innovation Center focusing on developing and implementing generative AI solutions for enterprise customers.

AI/ML Engineer, Intelligent Talent Acquisition

AI/ML Engineer position at Amazon's Intelligent Talent Acquisition team, developing machine learning solutions to revolutionize hiring processes with competitive compensation and benefits.

AI/ML Engineer, Intelligent Talent Acquisition

AI/ML Engineer role at Amazon's Intelligent Talent Acquisition team, focusing on developing AI solutions for hiring processes.

Product Support Engineer - Perception, Prime Air

Product Support Engineer role at Amazon Prime Air focusing on perception systems for drone delivery, combining computer vision, sensor fusion, and machine learning expertise.