Optiv jobs

Senior Staff Generative AI Engineer - VP NEW YORK, New York, United States of America

Cyber Operations Advisor | Remote, USA Fort Worth, Texas posted: Posted 3 Days Ago

EA - Quality Ang Mo Kio, Singapore posted: Posted 22 Days Ago

Account Manager - Cyber Security | Houston, TX Houston, Texas posted: Posted 25 Days Ago

Manager - Cyber Operations I On-site, Bangalore Bangalore, Karnataka posted: Posted 15 Days Ago

Director, Organic Growth & AI Visibility Woodland Hills, CA Where A-Players Thrive. We're an employee-owned, vertically-integrated builder of some of America's most popular health & wellness brands. With over 1,000 team members across multiple companies, we create best-in-class products that help make the world healthier and happier. Our creative content educates the world on making smarter health choices, while the brands we own generate over $600 million of revenue annually. Learn more about our brands. We're Looking For A: Director, Organic Growth & AI Visibility Location: Hybrid (Woodland Hills, CA) What You'll Be Doing: The Director of Organic Growth & AI Visibility will lead all organic visibility and earned media functions for the Golden Hippo wellness portfolio brands. This includes SEO, AI/Answer Engine visibility, content strategy, public relations, and organic social. - Multi-Brand Strategy & Integration - Architect and lead the centralized organic growth roadmap for the Golden Hippo brand portfolio. - Define cross-channel operating models that bridge the gap between high-authority brand storytelling and technical performance. - Align Brand, Creative, Product Marketing, Performance, and Data teams around shared processes and KPIs. - Next-Gen SEO & Answer Engine Optimization (AEO) - Drive the evolution from traditional SEO to Entity-Based Optimization, ensuring our experts and brands are recognized as primary authorities in Google's Knowledge Graph. - Build Golden Hippo's roadmap for visibility across AI-driven interfaces (ChatGPT, Gemini, Perplexity, and Google Search Generative Experience). - Implement advanced structured data and schema strategies to maximize “machine readability” and dominate featured snippets and AI-generated

Senior Opto-Electronics Engineer Cambridge, England, GB

Senior Staff Generative AI Engineer, Vice President London, United Kingdom

Sr. Consultant - Cybersecurity | Remote, Vancouver, BC Vancouver, British Columbia posted: Posted 23 Days Ago

Sr. Consultant MCSE - MS Purview I Remote, Bangalore Bangalore, Karnataka posted: Posted 15 Days Ago

Sr. Swimlane SOAR Engineer | Remote, USA Overland Park, Kansas posted: Posted 7 Days Ago

Sr. Account Manager - Cybersecurity | North Carolina Charlotte, North Carolina posted: Posted 30 Days Ago

Certified Optima Solutions Professional CHN - Baoding posted: Posted 30+ Days Ago

Principal Cybersecurity Advisor (Cisco-Splunk) | Remote, USA Leawood, Kansas posted: Posted 14 Days Ago

Machine Learning Engineer Shanghai, China posted: Posted 30+ Days Ago

Senior Machine Learning Engineer, Perception - Autonomous Driving 3 Locations posted: Posted 8 Days Ago

Sr. Solutions Advisor - Cloud | Remote, MN, IA, IL Chicago, Illinois posted: Posted 30 Days Ago

Sr. Sales Engineer - Federal - TS | Washington, DC Washington, District of Columbia posted: Posted 28 Days Ago

Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for an Inference Optimization MLE to help build and operate the systems that make our foundation models run fast and efficiently in production. You'll be responsible for squeezing maximum performance out of large multimodal models, across cloud and on-robot deployment targets. You will working closely with research and robotics teams to close the gap between training and real-world deployment. What You'll Do - Own inference performance end-to-end - diagnose and improve latency, throughput, and efficiency of large foundation models in production - Build systematic performance attribution: latency decomposition (compute vs. memory bandwidth vs. I/O), bottleneck identification, and prioritization across model families - Apply and develop optimization techniques including quantization, pruning, distillation, operator fusion, and model compilation (e.g., TensorRT, torch.compile, XLA) - Optimize attention mechanisms, KV caching, and memory layouts for large multimodal models (vision, video, language, proprioception) - Work with kernel-level tooling (e.g., CUDA, Triton) to identify hotspots

Sr. Cybersecurity Advisor - Identity Security | Pacific NW - Remote, USA 3 Locations posted: Posted 25 Days Ago

Generative AI Engineer 2 Locations posted: Posted 30+ Days Ago

Generative AI Engineer, Officer JACKSONVILLE, Florida, United States of America

Cyber Security Advisor- Cloud | Las Vegas or Bay Area, USA 2 Locations posted: Posted 8 Days Ago

Practice Optimization Partner II 2 Locations posted: Posted 30+ Days Ago