Greylock Partners
GPU / CUDA Engineers (Multiple Openings)
Greylock Partners, San Francisco, California, United States, 94199
Overview
Several growth-stage investments in San Francisco, CA are looking for experts in GPU Optimization / Inference Acceleration.
Responsibilities
Primarily focused on GPGPU programming to increase the performance of the product -- writing, debugging, and optimizing CUDA code from GPU kernel-level on upward to improve the holistic performance of new AI models
Play a key role creating all of the tooling and associated infrastructure to increase the performance of the company -- from fairly straight-forward projects (profilers) to incredibly complex (new inference engines)
Qualifications
Proven background in CPU acceleration and/or GPU optimization (latter preferred) with a strong preference toward candidates who have expertise in CUDA Kernel hacking
Experience working in deep learning environments and/or on products targeting high-performance ML systems
Strong coding skills in high-performance environments (C/C++)
About Us About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/
How We Work How We Work:
We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet and Software Development
#J-18808-Ljbffr
Responsibilities
Primarily focused on GPGPU programming to increase the performance of the product -- writing, debugging, and optimizing CUDA code from GPU kernel-level on upward to improve the holistic performance of new AI models
Play a key role creating all of the tooling and associated infrastructure to increase the performance of the company -- from fairly straight-forward projects (profilers) to incredibly complex (new inference engines)
Qualifications
Proven background in CPU acceleration and/or GPU optimization (latter preferred) with a strong preference toward candidates who have expertise in CUDA Kernel hacking
Experience working in deep learning environments and/or on products targeting high-performance ML systems
Strong coding skills in high-performance environments (C/C++)
About Us About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/
How We Work How We Work:
We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet and Software Development
#J-18808-Ljbffr