Solutions Architect, AI/ML
SnowflakeFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Candidates need 10+ years in the compute/server/datacenter industry, 3+ years with accelerated AI solutions using GPUs or custom AI accelerators, and proven ability to specify, build, and deploy rack-scale infrastructure.
The role involves leading and collaborating with cross-functional teams including hardware engineering, software engineering, and product teams, as well as partners and customers, requiring excellent interpersonal skills to influence without direct authority.
Yes, please apply anyway even if you don’t meet all the requirements, as Untether AI values potential and welcomes diverse candidates.
Enhances AI inference with at-memory computing
Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places the compute element next to memory cells, which boosts compute density and accelerates AI inference for various neural networks, such as those used in vision, natural language processing, and recommendation systems. The company targets businesses that rely on AI technologies and need high-performance computing for inference tasks. Their products, including the runAI200® devices and tsunAImi® accelerator cards, are designed to deliver exceptional performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact PCI-Express form factor. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to enhance their AI applications.