Silicon Architect, AI Accelerator - Mountain View, CA, United States
$275,000 - $600,000 USD yearly
Originally posted 19 May 2026 by the employer.
About the role
MatX is seeking an Architect to deliver silicon architecture at the full-chip or subsystem level. The role focuses on defining the compute architecture and AI compute subsystem for GenAI accelerators.
What you'll do
- Define the architecture for the AI compute subsystem, including ISA, connectivity, memories, and control.
- Derive architectural requirements from AI use cases.
- Conduct analytical and empirical performance analysis.
- Collaborate with Research, SW, and HW teams to optimize silicon for workloads, programmability, and PPA.
- Work through power, area, performance tradeoffs with stakeholders.
- Support test plan reviews, first-silicon bring-up, and post-silicon debug.
What you'll need
- Background in computer architecture, specifically AI accelerators, GPUs, TPUs, vector processors, SIMD, VLIW, or other parallel compute architectures.
- Experience translating workloads into hardware architecture.
- Understanding of microarchitecture fundamentals, latency, throughput, utilization, and scalability.
- Familiarity with numeric formats, quantization, rounding, and precision/performance tradeoffs.
- Programming, code optimization, or kernel-level performance analysis experience.
Nice to have
- Familiarity with performance-optimization techniques in large-scale transformer models.
Skills: AI compute subsystem, ISA, AI accelerators, performance analysis, power, area, performance tradeoffs
This role has been open 157 days — well above the 86-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
86 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | MatX | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 35 | 6277 · 144 employers |
| Median days open | 94 d | 86 d (+8 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI compute subsystem, ISA, AI accelerators, performance analysis, power, area, performance tradeoffs
Who's hiring in this category
- Qualcomm · 105 open roles · median 115 d
- NVIDIA · 89 open roles · median 57 d
- AMD · 34 open roles · median 107 d
- Micron Technology · 26 open roles · median 58 d
- Mobileye · 20 open roles · median 84 d
- Analog Devices · 18 open roles · median 42 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 24 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.