Principal Field Application Engineer - Edge AI - San Jose, California, United States
$184,500 - $249,600 USD yearly
Originally posted 25 June 2026 by the employer.
Guide strategic semiconductor partners through SoC architecture and IP selection for Edge AI deployments using Arm CPUs, GPUs, and NPUs.
About the role
Arm is seeking a Principal Field Application Engineer to support strategic partners in the integration of Arm technologies, with a focus on Edge AI. In this role, you will serve as a technical advisor combining system architecture expertise with account leadership to guide customer SoC development and drive technology adoption.
What you'll do
- Act as the primary technical advisor for strategic partner accounts, working directly with architects, engineering leaders, and key decision-makers. - Provide system-level architectural guidance for Arm-based SoCs and platforms across CPUs, GPUs, NPUs, Compute Subsystems, system IP, software tools, and Edge AI solutions. - Guide customers in IP selection, configuration, integration, and optimization to meet power, performance, scalability, and time-to-market objectives. - Support partners from architecture definition and design evaluation through implementation and deployment. - Drive adoption of Arm technologies through technical presentations, workshops, demonstrations, and executive discussions. - Resolve cross-IP and multi-functional technical challenges by collaborating with Support Applications Engineering, product management, and engineering teams.
What you'll need
- Bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. - Demonstrated experience in semiconductor engineering, SoC development, applications engineering, system architecture, or technical sales. - Strong understanding of SoC architecture, system integration, and hardware/software interactions, including memory subsystems, cache coherency, interconnects, and multi-IP designs. - Hands-on experience with Arm-based systems, including CPUs, GPUs, NPUs, compute modules, system IP, development tools, and SoC integration methodologies. - Proven background in field applications engineering, technical consulting, solutions engineering, or similar customer-facing technical roles. - Experience leading technical discussions covering system architecture, efficiency, performance trade-offs, and scalability.
Nice to have
- Master's degree in Electrical Engineering, Computer Engineering, or Computer Science. - Experience with Arm Compute Subsystems (CSS), AI/ML accelerators, graphics technologies, or advanced SoC architectures. - Experience developing or supporting Edge AI solutions and AI/ML workloads on embedded and edge platforms. - Prior experience in Field Applications Engineering, Technical Marketing, or Technical Sales within the semiconductor industry. - Experience supporting edge AI, mobile, consumer, or IoT markets. - Familiarity with semiconductor IP licensing models.
Skills: technical advisor, Edge AI, SoC architecture, IP selection, customer product roadmaps
This role has been open 119 days — well above the 50-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
107
|
Median days open
50 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Arm Holdings | All employers we track in this specialty (107 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 107 |
| Median days open | 119 d | 50 d (+69 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: technical advisor, Edge AI, SoC architecture, IP selection, customer product roadmaps
Who's hiring in this category
- NVIDIA · 62 open roles · median 50 d
- AMD · 13 open roles · median 48 d
- Tenstorrent · 9 open roles · median 35 d
- Qualcomm · 4 open roles · median 55 d
- Intel Corporation · 3 open roles · median 6 d
- GlobalFoundries · 2 open roles · median 41 d
How we counted: 107 open Applications FAE (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 22 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. Figures refresh nightly.