23 hours ago
Base Salary
$181k - $245k/yr
Responsibilities
- Serve as the principal technical authority for Verisign’s on-premises AI and LLM architecture.
- Design, implement, operate, and evolve production LLM inference platforms.
- Evaluate models, inference engines, developer tools, agent frameworks, and supporting technologies.
- Develop methodologies to evaluate model quality, performance, reliability, and workload suitability.
- Create secure mechanisms for applying LLMs to proprietary source code, internal data, documentation, and analytics.
- Develop coding agents, tool-use capabilities, repository integrations, retrieval systems, and AI-assisted engineering workflows.
- Improve practices for model deployment, upgrades, rollback, observability, capacity planning, and incident response.
- Establish security controls for sensitive corporate information in collaboration with security and infrastructure teams.
- Prototype emerging AI capabilities and convert successful experiments into reliable production services.
- Mentor AI platform engineers, provide technical leadership without requiring direct management authority, and identify high-value internal AI applications.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Telecommunications, or a related field, or equivalent experience.
- 15+ years of computer engineering experience.
- Extensive experience designing, operating, or troubleshooting complex production systems.
- Strong Linux systems engineering experience and understanding of distributed systems, networking, storage, containers, and modern infrastructure platforms.
- Experience with software development practices, source control, automation, and infrastructure-as-code.
- Strong programming or scripting ability in Python, Go, C/C++, or equivalent.
- Practical experience deploying LLMs and understanding of inference concepts including context windows, tokenization, quantization, batching, concurrency, memory requirements, and accelerator utilization.
- Preferred experience with GPU or accelerator computing, LLM inference engines, Kubernetes, RAG, embeddings, vector search, agentic AI, coding agents, MCP, model evaluation, open-weight LLM deployment, enterprise security systems, and regulated or high-reliability environments.
- Excellent written and verbal communication skills.
Benefits
- Hybrid work schedule based in the Reston, Virginia office.
- Competitive benefits and opportunities for career growth.
- Discretionary performance bonus and potential eligibility for discretionary stock awards.
Tech Stack
Categories
About Verisign
Verisign operates critical internet infrastructure, including the authoritative registries for .com and .net, and provides DNS and security services to registrars and enterprises. It earns revenue from wholesale domain registrations and managed DNS/security offerings under long-term agreements with internet governance bodies and partners. Founded in 1995 and headquartered in Reston, Virginia, Verisign is a public company listed on NASDAQ.