Software Engineer, CentML

Compiler

Salary not provided

Employee stock options available

Python

C++

CUDA

Junior and Mid level

Remote in US

San Francisco Bay Area

Toronto

Machine learning training platform

Open for applications

Machine learning training platform

21-100 employees

B2CArtificial IntelligenceMachine LearningSaaS

Open for applications

Salary not provided

Employee stock options available

Python

C++

CUDA

Junior and Mid level

Remote in US

San Francisco Bay Area

Toronto

21-100 employees

B2CArtificial IntelligenceMachine LearningSaaS

Company mission

To pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.

Job

Company

Role

Who you are

Bachelors or higher degree in Computer Science or Engineering
Excellent communication skills and the ability to work in a team
Strong coding skills (in at least one of Python and C++)
Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc
Strong academic records for candidates with bachelor’s degrees

Desirable

2+ years of experience in researching or contributing to HPC/ML/DL systems, frameworks or libraries (including the time of being a graduate student)
Experience with GPU architecture and GPGPU programming:
NVIDIA GPUs: CUDA programming and libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.)
AMD GPUs: ROCm and its related libraries and toolkits
OpenCL
Experience with developing high-performance kernels for CPUs
Experience in developing ML or traditional compilers
Experience with TPU
Strong publication records in top HPC/ML/DL or computer system and architecture venues

What the job involves

Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems (e.g., slow kernels)
Figure out where the bottleneck of the slow GPU kernels with profilers
Optimize the GPU kernels
Write tests and benchmarks to validate and evaluate our solutions

Our take

In an increasingly AI and ML-driven world, the demand for these technologies is skyrocketing, alongside their costs, leaving numerous companies without access to tools that could enhance their operations. CentML emerges as a solution, aiming to democratize AI and ML by making them more accessible and cost-effective for all.

Backed by a team with extensive expertise in AI, ML compilers, and ML hardware, CentML possesses a deep understanding of the inefficiencies prevalent in the industry. Among the challenges it addresses is the scarcity of AI chips. By meticulously analyzing clients' AI/ML requirements, CentML advises on suitable hardware options to optimize performance and minimize costs.

With its inception in 2022, CentML has swiftly garnered attention and funding, underscoring the market's appetite for its offerings. Recent funding will enable the company to further refine its product and conduct pivotal research in the field, solidifying its position as a pioneering force in democratizing AI and ML technologies.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Some candidates hear
back within 2 weeks

Company

Funding (2 rounds)

Sep 2023

$26.5m

SEED

Jun 2022

$3.5m

SEED

Total funding: $30m

Company benefits

An open and inclusive culture and work environment
Fully stocked kitchen at the office
Full health and dental benefits
Parental Leave top-up for 6 months
Continuous education budget
Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask

Company HQ

Yonge-Bay Corridor, Toronto, ON

Articles

Google and Nvidia-backed CentML Secures $37 Million CAD to Help Companies Deploy AI Amid Chip Shortages

Leadership

Gennady Pekhimenko

(Co-Founder & CEO)

Also an Associate Professor at the University of Toronto, a Faculty Member at Vector Institute, and a Research Co-Chair at MLCommons.

Shang Wang

(Co-Founder & CTO)

Graduate Student Researcher at Vector Institute. Previously a Senior Software Engineer at Nvidia.

Akbar Nurlybayev

(Co-Founder & COO)

Prior work includes Director of Engineering (Data Platform) at KAR Global and Software Development Manager at TradeRev.

Anand Jayarajan

(Co-Founder)

Previously a Research Fellow at the Indian Institute of Technology, and a Software Development Engineer at Flipkart.

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