System Performance Engineer - AI/ML, Platform Architecture - Santa Clara, United States
Originally posted 13 August 2026 by the employer. Relisted by the employer on 7 October 2026.
About the role
As a System Performance Engineer - AI/ML on the Platform Architecture team, you will play a critical role in ensuring the performance excellence of Apple products by benchmarking AI experiences.
What you'll do
- Measure, analyze, debug, and optimize performance using software profiling tools.
- Curate, run, and interpret AI/ML workloads or benchmarks.
- Collaborate with engineers across Apple to deep dive into hardware and software technologies.
- Uncover potential optimization opportunities to enhance customer experiences across Apple devices.
- Present findings regarding AI workload performance and implications.
What you'll need
- Bachelor’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related degree.
- Experience in performance measurement, analysis, debug, and optimization using software profiling tools (e.g. VTune, Nsight, uProf, WPA, HWInfo).
- Experience curating, running, and interpreting AI/ML workloads or benchmarks, and experience with the frameworks and hardware-specific runtimes used (e.g., PyTorch, TensorFlow, TensorRT/CUDA, OpenVINO).
Nice to have
- 3+ years of industry experience in performance analysis.
- Understanding of OS fundamentals and system-level performance, including performance, power, and thermal profiling tools.
- Proficiency in Python for scripting and automation.
- Knowledge of macOS, Windows, and Linux operating systems.
Skills: performance measurement, AI/ML workloads, GPUs, NPUs, platform architecture
This role has been open 65 days — well below the 82-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
82 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Apple | All employers we track in this specialty (508 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 8 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 43 | 6114 · 145 employers |
| Median days open | 52 d | 82 d (−30 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: performance measurement, AI/ML workloads, GPUs, NPUs, platform architecture
Who's hiring in this category
- Qualcomm · 100 open roles · median 110 d
- NVIDIA · 91 open roles · median 52 d
- AMD · 42 open roles · median 77 d
- Micron Technology · 27 open roles · median 67 d
- Analog Devices · 19 open roles · median 35 d
- Mobileye · 17 open roles · median 79 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 17 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.