Senior Director of Hardware Engineering - Ann Arbor, MI, United States
MemryX is developing an AI accelerator chip.
About the role
This role leads the development of MemryX's AI accelerator chip. You will guide the chip design team from architecture and specification through implementation, tapeout, bring-up, and production, focusing on AI accelerator architecture, SoC architecture, and memory hierarchy.
What you'll do
- Lead and grow the hardware engineering team for MemryX AI accelerator chips.
- Drive chip development from product requirements through RTL design, verification, physical implementation, tapeout, silicon bring-up, and production.
- Provide hands-on technical leadership and design reviews across compute architecture, memory subsystem, SoC integration, interconnect, and external interfaces.
- Establish development plans, milestones, ownership, and execution processes for complex ASIC programs.
- Manage relationships and technical execution with external semiconductor partners, including foundries, OSATs, IP vendors, EDA vendors, and ASIC/design service providers.
What you'll need
- Master’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- 15+ years of experience developing complex ASICs, SoCs, processors, or accelerators.
- Technical leadership experience, including leading ASIC/SoC engineering teams and complex chip development programs.
- Multiple successful ASIC/SoC tapeouts with direct involvement across major stages of the chip development lifecycle.
- Deep understanding of digital IC design, including architecture, microarchitecture, RTL design, verification, synthesis, timing, physical design, DFT, and silicon bring-up.
- Strong understanding of SoC architecture, memory systems, high-speed interfaces, clock/reset architecture, power management, and chip-level integration.
Skills: AI accelerator chip, SoC architecture, RTL design, silicon bring-up, advanced packaging
This role has been open 20 days — well below the 89-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
89 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Memryx | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 2 | 6292 · 146 employers |
| Median days open | 20 d | 89 d (−69 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI accelerator chip, SoC architecture, RTL design, silicon bring-up, advanced packaging
Who's hiring in this category
- Qualcomm · 104 open roles · median 118 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 32 open roles · median 110 d
- Micron Technology · 27 open roles · median 62 d
- Mobileye · 20 open roles · median 88 d
- Analog Devices · 18 open roles · median 45 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 27 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.