Runtime Engineer - Kernelize

Kernelize

• $125K — $150K *
US-AnywhereRemote in United States
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI hardware acceleration
  • Proficient in machine learning optimization techniques
  • Strong knowledge of Triton for ML runtime optimization
  • Experience with scalable system architecture
  • Familiarity with various AI accelerators (GPUs, TPUs, etc.)

Responsibilities

  • Develop scalable runtime for AI hardware accelerators
  • Optimize machine learning processes using Triton
  • Contribute to the foundational technology of the platform
  • Collaborate with cross-functional teams to ensure efficient deployment
  • Enhance performance metrics of AI applications

Benefits

  • Flexible remote work options
  • Opportunity to work with cutting-edge technologies
  • Engagement in driving impactful ML projects
  • Dynamic work environment with a focus on innovation
Full Job Description
This role is focused on building a scalable runtime that supports a wide range of AI hardware accelerators, and I need someone who's passionate about driving ML optimization using Triton. This is a chance to work on cutting-edge runtime technologies and help shape the core of our tech from the ground up.

The actual offer, reflecting the total compensation package and benefits, will be at the company's sole discretion and determined by a myriad of factors, including, but not limited to, years of experience, depth of skills, and other relevant business considerations. The company also reserves the right to amend or modify employee perks and benefits.

At Kernelize we consider several factors when setting each role's salary range, including the competitive benchmarking data for the market and geographic location. As this is a flexible role that must be performed remotely, this means that the salary range will vary based on geographic location. Please note that individual pay will be set within this salary range based on location as well as skills and experience related to the job.

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