Originally posted 1 October 2026 by the employer.
About the role
This role focuses on developing the functional model for Tensordyne's inference accelerator. You will work closely with architecture, hardware, and software teams to model new features and maintain model accuracy.
What you'll do
- Implement new architecture features and algorithms in the model.
- Investigate discrepancies between the model and hardware behavior.
- Write tests, test plans, and test infrastructure for new features, and track code coverage.
- Document the model and validate it against the architecture specification and the RTL.
- Evaluate and adopt new modeling techniques.
- Maintain and improve the codebase.
What you'll need
- Strong modern C++.
- Good knowledge of RTL and ASIC methodology.
- A solid understanding of hardware architecture.
- Good command of build systems and toolchains.
- Ability to deliver working, tested code from loosely specified features.
- BS or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 3+ years of industry experience.
Nice to have
- Knowledge of SystemC / TLM-2.0.
- Experience with AI/ML accelerators or GPU architectures.
- Experience with high-performance computing.
- Python for scripting and tooling.
- Debugging and analysis tools: sanitizers, profilers, tracing.
Skills: functional model, inference accelerator, hardware architecture, SystemC, RTL
This role has been open 0 days — well below the 73-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
510
|
Median days open
73 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Tensordyne | All employers we track in this specialty (510 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 510 |
| Open roles in the wider Software, Firmware & Systems family | 9 | 5930 · 145 employers |
| Median days open | 23 d | 73 d (−50 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: functional model, inference accelerator, hardware architecture, SystemC, RTL
Who's hiring in this category
- Qualcomm · 106 open roles · median 106 d
- NVIDIA · 84 open roles · median 72 d
- AMD · 42 open roles · median 66 d
- Micron Technology · 31 open roles · median 56 d
- Mobileye · 20 open roles · median 69 d
- NXP Semiconductors · 15 open roles · median 59 d
How we counted: 510 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 2 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.