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Senior Technical Project Manager

Speedata
August 27, 2026
Full-time
On-site
Not specified
Other Semiconductor Jobs, Level - Senior

Job Title

Senior Technical Project Manager

Role Summary

Drive execution and delivery of cross-functional projects spanning ASIC/VLSI and software teams. The role coordinates schedules, risks, procurement, and reporting to ensure on-time delivery of complex hardware and software milestones.

Experience Level

Senior β€” typically 8+ years of project/program management experience; experience in semiconductor/ASIC/VLSI startups preferred.

Responsibilities

Manage planning, tracking, and reporting for multi-domain engineering projects.

  • Plan and maintain project schedules, milestones, and deliverables across ASIC, VLSI, and software domains.
  • Run regular project reviews, stand-ups, and cross-functional syncs.
  • Identify, track, and mitigate risks, dependencies, and blockers; escalate as needed.
  • Coordinate with engineering leads to optimize workflows and resource allocation.
  • Manage inventory, procurement, and technical operations for hardware projects.
  • Generate dashboards, reports, and KPIs to communicate project health to management.
  • Improve project management processes, tools, and methodologies.

Requirements

Must-have technical and management skills for executing hardware/software engineering programs.

  • 8+ years of project/program management experience; semiconductor/ASIC/VLSI startup experience preferred.
  • Basic Linux and scripting skills (bash, Python, or similar).
  • Experience with project management tools (e.g., Jira, Confluence, MS Project, Asana).
  • Proven ability to manage cross-functional engineering teams.
  • Strong analytical and risk-management skills.
  • Excellent communication and organizational abilities.
  • Startup mindset: hands-on, flexible, proactive problem-solver.

Education Requirements

Not specified.


About the Company

Company: Speedata

Speedata develops a purpose-built ASIC, the Analytics Processing Unit (APU), to accelerate analytics and AI data workloads (e.g., Apache Spark), improving query performance and reducing infrastructure TCO by executing analytics operations in silicon.

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Date Posted: 2026-08-26