Top Tech Jobs & Startup Jobs

Provide high-touch IT support to executives across office, travel, and home environments. Diagnose and resolve hardware, software, mobile-device, operating-system, and video-conferencing issues across Windows and macOS. Manage support queues, installations, break/fix work, documentation, knowledge resources, and asset tracking. Build strong client relationships, communicate technical concepts clearly, support AI tools and security policies, and provide independent on-call and after-hours support in an on-site environment.

Lead identity and access governance strategy, pathfinding, technology evaluations, and roadmap development. Translate security, compliance, business, and governance requirements into scalable IAM capabilities. Assess emerging identity technologies, AI-enabled systems, vendors, integrations, risks, and regulatory needs. Define requirements, document architectures and ownership models, manage IAM backlogs, and present recommendations to architecture, engineering, security, product, and business stakeholders.

Designs and architects high-speed I/O circuits for High Bandwidth Memory products. Owns design quality processes from architecture through silicon, correlates simulation with silicon measurements, analyzes circuit performance, and standardizes cross-functional methodologies. Responsibilities include high-speed clocking, analog and digital design, verification, optimization, layout and parasitic analysis, protocol support, silicon debug, advanced packaging, and AI-assisted analysis of complex data.

Own the full lifecycle of AI products, from discovery and roadmap definition through prototyping, deployment, adoption, and measurable business outcomes. Build GenAI and agentic AI solutions using LLM APIs, tool calling, structured outputs, and evaluation. Partner with data engineering on pipelines, data quality, governance, security, and observability. Lead agile backlog management, UX collaboration, training, change management, and continuous improvement while translating ambiguous business needs into production AI applications.

Leads global mobile OEM account strategy, revenue growth, executive relationships, design wins, commercial negotiations, and long-term customer partnerships. Acts as the primary customer contact and cross-functional coordinator across Micron business units, aligning technical, engineering, commercial, and strategic priorities. Uses AI-enabled tools, market intelligence, and forecasting analytics to improve account planning, pipeline visibility, customer engagement, and sales execution.

Design and develop SystemVerilog RTL for DRAM memory controllers and ASIC subsystems. Collaborate with architecture, verification, analog, physical design, and validation teams; support simulation, co-simulation, chip bring-up, debugging, and silicon validation. Use Python, shell scripting, automation, and AI-enabled tools to improve design workflows and engineering productivity.

Develop and implement semiconductor process control solutions that reduce variation, improve yield, and automate control tasks. Responsibilities include designing decision logic, extracting and cleansing database data with SQL, building predictive and control models, applying statistical techniques, collaborating with engineering and data teams, and communicating technical analysis. The role also involves project coordination, process control theory, and using AI-assisted development tools.

Supports operations improvement projects by gathering requirements, evaluating solutions, documenting defects and technical specifications, and participating in integration and user acceptance testing. The role uses databases, programming, visualization tools, and AI automation to organize data, create scripts, and improve processes.

Lead process integration for 3D DRAM technology focusing on manufacturability, optimize processes, and improve yields through data analysis.

Supports high-volume semiconductor manufacturing by monitoring and improving process quality, yield, throughput, and cost. Applies SPC, FDC, DOE, statistical analysis, engineering principles, and data-driven problem solving to resolve process deviations, defects, tool restrictions, and output interruptions. Collaborates with equipment, operations, and engineering teams, performs data analysis and visualization, and uses approved AI-assisted analytics to optimize wafer output and manufacturing performance.