Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields

Experience Requirements:

• 3+ years of Solutions Engineering experience

• 3+ years of work-related experience in Deep Learning and Machine Learning

Other Requirements:

• AWS, GCP or Azure Professional Solution Architect Certification

• Hands-on experience with NVIDIA GPUs and SDKs (CUDA, RAPIDS, Triton)

• Knowledge of DevOps/ML Ops technologies such as Docker and Kubernetes

Responsibilities:

• Working with Cloud Service Providers to develop ML/DL solutions

• Build and deploy AI/ML solutions at scale on cloud-based GPU platforms

• Build custom PoCs for solutions addressing critical business needs

• Partner with Sales Account Managers to identify new business opportunities

• Prepare and deliver technical content and workshops to customers

Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields

Experience Requirements:

• 3+ Years in Solutions Architecture

• 3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow

Other Requirements:

• Active contributions to open-source AI inference projects

• Experience optimizing and deploying large MoE LLMs at scale

• Experience with Multi-GPU Multi-node Inference technologies

Responsibilities:

• Help cloud customers craft and maintain GPU-accelerated inference pipelines

• Enhance performance tuning using TensorRT, vLLM, and Triton Inference Server

• Offer technical mentorship to cloud customers implementing AI inference at scale

• Build custom PoCs for solutions addressing business needs

• Partner with Sales Account Managers to identify new business opportunities

Benefits:

• medical, dental, vision, disability and life insurance

• 401(k) retirement savings with company match

• employee stock purchase plan

• flexible spending accounts

• Employee Assistance Program (EAP)

Experience Requirements:

• 3+ years managing high-performing teams of 10+ Technical Support Engineers

• Direct experience in hiring, training, and performance management

• Experience with Artificial Intelligence (AI) and Large Language Models (LLM)

Other Requirements:

• Must be currently based in the Pacific Time Zone

• Must be authorized to work for any employer in the U.S.

• No visa sponsorship provided

Responsibilities:

• Lead and mentor a multi-shift Support Engineering team

• Continuously refine the support journey for both customers and staff

• Define and monitor key performance indicators (KPIs)

• Investigate complex technical issues and route them to the ideal resource

• Maintain deep, hands-on technical knowledge of the entire Tenable product suite