SMTS Application Engineering - Richardson, Texas, United States of America
$118,000 - $210,000 USD yearly
Originally posted 21 October 2026 by the employer.
Deploy Physical AI solutions built on RISC-V processors, AI accelerators, and SDKs.
About the role
MIPS is seeking a Corporate Application Engineer (CAE) to help customers deploy and adopt Physical AI solutions. The role focuses on customer enablement using RISC-V processors, AI accelerators, software toolchains, SDKs, and edge AI platforms.
What you'll do
- Serve as the primary technical advisor for customer engagements, guiding onboarding, solution enablement, software integration, deployment, and production ramp activities. - Investigate, troubleshoot, and resolve complex technical issues through cross-functional escalations, root-cause analysis, and communication of resolution plans. - Support deployment of customer AI models and applications, covering optimization, profiling, benchmarking, performance analysis, and deployment readiness validation. - Capture customer requirements, feature requests, and product enhancement opportunities while advocating for customer needs across Product Management and Engineering. - Develop and deliver technical training, workshops, demonstrations, and collateral including application notes, deployment guides, and benchmarking reports. - Monitor adoption progress, technical risks, escalations, and recurring support trends in customer health and technical status reviews.
What you'll need
- Bachelor's (or better) degree in Electrical Engineering, Computer Engineering, Computer Science, AI/ML, or a related technical discipline. - 5 years of experience in Application Engineering, Solutions Engineering, Customer Success Engineering, Technical Support Engineering, or a related customer-facing role. - Experience supporting semiconductor IP, embedded processors, AI accelerators, software platforms, SDKs, or development toolchains. - Strong debugging and problem-solving skills across software, hardware, and system-level environments. - Direct experience working with customers to resolve complex technical issues.
Nice to have
- Experience with AI inference, neural networks, model optimization, AI deployment, or performance benchmarking. - Familiarity with RISC-V architectures, embedded systems, processors, accelerators, compilers, or runtime software. - Experience with Python, C/C++, Linux, scripting, and software debugging tools. - Knowledge of robotics, edge AI, industrial automation, computer vision, automotive, or intelligent embedded systems. - Experience working with globally distributed teams and customers.
Skills: Customer Success, AI accelerators, SDKs, RISC-V, benchmarking
This role has been open 0 days — well below the 49-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
103
|
Median days open
49 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | GlobalFoundries | All employers we track in this specialty (103 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 103 |
| Median days open | 41 d | 49 d (−8 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: Customer Success, AI accelerators, SDKs, RISC-V, benchmarking
Who's hiring in this category
- NVIDIA · 60 open roles · median 49 d
- AMD · 11 open roles · median 63 d
- Tenstorrent · 9 open roles · median 34 d
- Qualcomm · 4 open roles · median 54 d
- Intel Corporation · 3 open roles · median 5 d
- Microchip Technology · 2 open roles · median 33 d
How we counted: 103 open Applications FAE (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 21 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.