Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Build and verify FPGA-based networking acceleration for Microsoft Azure. Develop constrained-random SystemVerilog verification environments, test plans, test cases, assertions, sequences, constraints, and functional coverage. Automate test execution for CI/CD, collaborate with hardware and software teams using Agile methods, and occasionally support customer-reported hardware issues through on-call responsibilities.

Designs and operates controlled cyber-capability evaluations for frontier AI models and agentic systems. Builds vulnerable applications, cyber ranges, exploit-development targets, and evaluation harnesses; runs experiments; collects telemetry; analyzes model behavior and evaluation artifacts; and documents security findings. The role also develops sandboxing, containment, access, and secrets-management controls while collaborating with red-team operators, researchers, engineers, and Responsible AI stakeholders.

Customer-facing Cloud Solution Architect driving AI transformation with Copilot Chat, Agents, and M365 Copilot. Advise customers, design architectures, enable adoption and ROI, perform prompt engineering and agent building, partner with sales and technical teams, and create/reuse IP to accelerate AI adoption and sustained customer success.

Lead technical pre-sales engagements for Microsoft 365 Copilot, Copilot Studio, AI agents, and cloud endpoint solutions. Deliver demonstrations, discovery sessions, whiteboarding, solution designs, and proof-of-concept support. Develop technical win strategies, address objections and blockers, collaborate with partners and internal teams, educate customers, and guide adoption while embedding governance, security, and compliance into proposed solutions.

Lead data science engagements with customers to acquire, clean, analyze, and model data; develop scalable operational models and evaluation methods; coach engineers on best practices; drive solution strategy, ethics, and industry thought leadership; write extensible code and collaborate across teams to deliver cloud-based AI solutions.

Lead consultative sales of AI Workforce solutions, including Microsoft 365 Copilot and Copilot Studio. Develop customer strategies, build stakeholder networks, identify new opportunities, and drive end-to-end opportunity execution. Orchestrate internal teams and partners to cross-sell and upsell, engage business and IT decision-makers, communicate solution value and use cases, analyze customer priorities and competitors, and manage pursuit strategies across territories.

Lead consultative sales and strategic customer engagements for AI Workforce solutions. Develop stakeholder networks, identify and close opportunities, orchestrate internal teams and partners, and drive cross-sell and up-sell activities. Advise business and technology decision-makers on AI-powered productivity, communicate differentiated value propositions, analyze accounts and competitors, and guide pursuit strategies across territories.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.

Lead architecture and hands-on development of Microsoft's AI Safety Platform, building observability, detection, investigation, threat-hunting, and distributed data-processing capabilities. Design attack detection infrastructure, correlate high-volume telemetry, apply AI security research, conduct security and privacy reviews, and partner across engineering, science, and incident response teams. Mentor engineers and provide technical leadership for complex AI security systems.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.