NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoCs and GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines
Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex,
Job Details: Job Description: The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences
About the role You’ll own the Azure platform that Thomson Reuters product engineering teams build on: the infrastructure itself — networking, identity, AKS, deployment pipelines — and equally the experience of using it. How quickly a
We are looking for a Machine Learning Engineer to join our Toronto team and help us take our products to the next level in terms of visual intelligence. Our Company Invision AI is building a universal
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are
In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger AI and Compute Foundations team. MTIA Software Team has been developing a comprehensive
Date Posted: 08/31/2026 Req ID: 50037 Faculty/Division: VP - Research Department: SciNet Campus: St. George (Downtown Toronto) Position Number: 00059302 Existing Vacancy: Yes Description: About us: The Vice-President, Research & Innovation (VPRI) portfolio supports the University
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of
We are now looking for a Senior ASIC Verification Engineer for our Coherent High Speed Interconnect team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of
We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency. You’ll architect and implement high-performance inference software, optimize GPU kernels, drive industry benchmarks,
We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency. You’ll architect and implement high-performance inference stacks, optimize GPU kernels and compilers, drive
Lab Summary: Samsung Research America (SRA) develops next-generation technologies in software, user experience, and services for future products. Headquartered in Silicon Valley with locations across North America, we partner with industry and academia to translate research
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of
Become a Senior Solutions Architect at Rafay, specializing in deploying AI/ML workloads on GPU PaaS offerings. This role provides an opportunity to deeply engage with clients and optimize their AI infrastructure. In this leadership role, you will
We are looking for a GPU AI Performance Engineer to optimize and deploy AI and machine-learning workloads using ROCm. You will improve the speed, memory efficiency, and scalability of AI training and inference workloads. You will also
Join to apply for the GPU Cloud Platform Engineer role at Yotta Labs . About Yotta Labs Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale.
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry‑leading training and inference speeds; over 10 times faster than GPU‑based hyperscale cloud inference services. This order of