AI Processor Hardware/Software Integration Engineer (2027 New College Graduate)
$72,000 - $124,800 USD yearly
Validate RISC-V CPUs and AI accelerators across simulation, emulation, FPGA, and hardware platforms.
Originally posted 11 November 2026 by the employer.
About the role
This role focuses on hardware/software integration and validation of RISC-V CPUs and AI accelerators. Responsibilities cover hardware platforms, software, AI workloads, and benchmarking for Physical AI products.
What you'll do
- Execute compliance tests, regressions, benchmarks, and AI workloads across simulation, emulation, FPGA, and hardware platforms.
- Reproduce, debug, document, and track failures using logs, traces, waveforms, and performance counters.
- Validate CPU, NPU, memory, interrupt, exception, and software execution features with guidance from senior engineers.
- Develop automation for test execution, result checking, reporting, and dashboards.
- Collaborate with architecture, RTL, verification, compiler, software, performance, and infrastructure teams to resolve issues.
- Document test procedures and findings, and communicate progress across globally distributed teams.
What you'll need
- Graduating with a Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or a related field with at least an overall 3.0 GPA.
- Academic, internship, research, or project experience in computer architecture, embedded systems, software testing, or machine learning systems.
- Programming experience in Python and C or C++, plus basic Linux, Shell, and Git skills.
- Foundational knowledge of CPU architecture, memory systems, operating systems, and software development.
- English fluency (written and verbal).
Nice to have
- Prior related internship or co-op experience.
- Coursework or projects involving RISC-V or NPU systems.
- Familiarity with Assembly, instruction traces, waveforms, Linux, or low-level software.
- Exposure to ONNX, PyTorch, TensorFlow, MLPerf, neural network quantization, or AI inference workloads.
- Participation in capstone or open-source projects, engineering competitions, or laboratory research.
Skills: NPU, emulation, FPGA, RISC-V, benchmarks
More semiconductor jobs: GlobalFoundries jobs · AI chip design jobs · Richardson jobs
First seen in our index 0 days ago, well below the 107-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
473
|
Median days since first seen
107 d
|
Category median salary (all employers)
$238k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | GlobalFoundries | All employers we track in this specialty (473 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 5 | 473 |
| Open roles in the wider Software, Firmware & Systems family | 37 | 6571 · 157 employers |
| Median days since first seen | 124 d | 107 d (−17 d vs this employer) |
| Median salary (USD postings) | n/a | $238k |
Skills observed across this category: NPU, emulation, FPGA, RISC-V, benchmarks
Who's hiring in this category
- NVIDIA · 107 open roles · median 85 d
- Qualcomm · 94 open roles · median 132 d
- AMD · 29 open roles · median 125 d
- Analog Devices · 15 open roles · median 60 d
- Mobileye · 15 open roles · median 99 d
- Micron Technology · 14 open roles · median 63 d
How we counted: 473 open AI/ML Hardware Engineering (AI ML Hardware) roles from 73 employers tracked in the SemiconductorJobs index, counted 11 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.