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

Lead complex, cross-functional engineering programs across the product lifecycle from concept to end-of-life. Build and manage integrated schedules, budgets, and resources; enforce PDLC governance; identify and mitigate risks and dependencies; drive recovery plans and measurable process improvements; communicate status and trade-offs to senior stakeholders; coach and mentor team members to ensure on-time, on-budget product delivery.

Develops and debugs firmware and systems software enhancements, executes testing protocols, troubleshoots issues, and collaborates with internal and outsourced engineering partners. The role supports reliable, cost-effective solutions for low- to moderately complex products and requires knowledge of Python, Rust, C/C++, Linux shell scripting, software design, testing, and debugging.

Leads SSD and HDD integration and qualification for HPE storage systems. Responsibilities include developing validation tests, managing supplier testing, analyzing NVMe and SAS bus traces, resolving field and factory issues, evaluating hardware designs, ensuring standards compliance, introducing new storage technologies, and mentoring engineers. The role requires strong Linux expertise, storage-device laboratory testing experience, electronic hardware architecture knowledge, and effective cross-functional communication.

Develops, tests, and debugs diagnostics, firmware, simulators, and emulators for high-performance networking ASICs and boards. The role covers ASIC and silicon validation, NIC and switch bring-up, Ethernet and SerDes debugging, Linux driver development, architecture, and cross-functional technical leadership. It also includes reviewing designs, improving product quality, mentoring engineers, and integrating new technologies in an Agile environment.

The Systems Software Expert leads project teams in developing software systems, providing technical expertise, and mentoring less-experienced staff while ensuring compliance with design standards.

Supports public-sector and as-a-service deal pursuits through pricing strategy, financial modeling, P&L analysis, risk assessment, and approval documentation. Partners with sales, pursuit, compliance, tax, revenue recognition, and operations teams to optimize cost structures, negotiate terms, ensure accounting compliance, and improve deal profitability. Advises senior executives and leads transformation efforts for as-a-service pricing execution.

Leads the architecture, strategy, and implementation of applied and agentic AI capabilities for HPE private and hybrid cloud offerings. Designs production-grade AI architectures, multi-agent systems, LLMOps, AI security, governance, observability, and knowledge layers. Builds reusable AI components, optimizes large-scale AI systems, guides technology selection, and converts proofs of concept into reliable services. Influences customers and internal teams through technical workshops, reference architectures, publications, and presentations while mentoring engineers and architects.

Leads the lifecycle management, strategy, delivery, pricing, sales readiness, and profitability of private cloud service portfolios. Partners across regions and functions to develop services, address customer and market needs, improve business performance, and drive revenue and margin growth. Provides technical and business leadership, manages complex cross-functional initiatives, influences stakeholders, and mentors colleagues.

Leads the transition to an Agentic AI-enabled product development lifecycle across Product Management, Engineering, and Quality Assurance. Responsibilities include redesigning operating models, workflows, governance, roles, and decision rights; assessing current-state processes; defining future-state human and AI responsibilities; creating implementation roadmaps; designing AI capability-building approaches; managing stakeholder alignment; and executing change management. The role partners with senior leaders and prepares materials for executive and board-level reviews.

Leads a multi-year Agentic AI transformation of the Product Development Lifecycle across Product Management, Engineering, and QA. Responsibilities include assessing current processes, designing the future operating model, managing change and executive alignment, driving implementation, defining roadmaps and KPIs, and establishing governance. The role requires strategic thinking, executive influence, cross-functional leadership, project management, and knowledge of software engineering practices within a B2B technology environment.