9 часов назад
Principal Solutions Engineer (AI)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Solutions Engineer (AI): Designing and deploying high-performance AI solutions for an in-memory computing acceleration platform with an accent on hardware-software integration, performance benchmarking, and customer enablement. Focus on optimizing AI workloads for latency and power efficiency, building reference applications and evaluation platforms, and co-developing complete systems with ODMs and ISVs.
Location: US Remote
Salary: $200,000–$250,000 USD per year
Company
develops advanced AI hardware and software systems for edge-to-cloud computing, based on high-efficiency in-memory computing technology for power-, energy-, and space-constrained applications.
What you will do
- Lead end-to-end solution design, performance benchmarking, and system-level tuning for key verticals on EnCharge platforms.
- Engage directly with customers and software partners from proof of concept through deployment, optimizing application performance, latency, and power efficiency.
- Support technical pre-sales by explaining solution value propositions, architectural differentiators, and performance benchmarks.
- Develop reference applications, demonstrations, customer evaluation platforms, user guides, tutorials, and case studies.
- Identify and onboard strategic partners, collaborate with ODMs on complete system designs, and work with ISVs on documentation and reference designs.
- Represent customer needs in product roadmap, software feature, and developer experience decisions.
Requirements
- Master’s or Ph.D. in Electrical Engineering, Computer Science, or a related field.
- 8+ years of experience in solutions engineering and partner enablement within the semiconductor or AI industry.
- Experience bringing complex hardware products to market through software and end-to-end solution integration.
- Experience developing AI solutions for edge, datacenter, or embedded applications.
- Strong understanding of AI workloads and optimization, SoC architectures, software stacks, and system integration.
- Hands-on experience with AI/ML frameworks, AI inference optimization, model deployment, system and application software, and AI pipeline frameworks.
Nice to have
- Experience with embedded Linux systems and AI accelerators.
Culture & Benefits
- Work in a fast-paced, cross-functional environment.
- Collaborate with customers, ecosystem partners, ODMs, and ISVs.
- Equal employment opportunity employer in the United States.
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