6 дней назад
Sr. Staff Embedded Applications Engineer (Edge AI)
139 500 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Staff Embedded Applications Engineer (Edge AI): Leading an Edge AI applications lab and developing tiny ML model applications, demos, and solutions for microcontrollers and embedded platforms with an accent on hands-on hardware fabrication, sensor integration, and real-world data collection. Focus on optimizing and deploying AI models on MCUs, analyzing high-frequency sensor datasets, and coordinating technically and logistically complex laboratory projects.
Location: 100% onsite in Columbia, Maryland, United States
Salary: $139,500–$185,000 annual pay, plus eligibility for bonus opportunities and commission pay.
Company
is an embedded semiconductor solution provider developing technology for automotive, industrial, infrastructure, and IoT applications.
What you will do
- Lead the Edge AI Applications Lab, managing projects, people, facilities, equipment, and scheduling.
- Develop and maintain edge AI applications, demonstrations, and solutions combining tiny ML models with physical hardware.
- Collaborate with customers and internal product teams to ingest, debug, and analyze data for model development.
- Optimize and deploy AI models for microcontrollers and embedded platforms with AI and embedded engineering teams.
- Plan laboratory projects, procure parts, configure instrumentation and hardware, and create ML models.
- Fabricate sensor arrays, embedded boards, and other physical systems; collect real-world data for model development and validation.
Requirements
- Master’s or PhD in Electrical Engineering or a related technical field, with 7–12 years of career experience.
- Understanding of AI/ML algorithms and experience deploying models on microcontrollers.
- Hands-on experience fabricating prototype systems with microelectronic, physical, and sensor components, including design tools, 3D printing, and electrical assembly.
- Experience leading engineering teams and collaborating across multiple cross-functional groups.
- Familiarity with audio, electrical, accelerometer, and control-system signals, including large high-frequency sensor datasets, debugging, preprocessing, and MLOps.
- Proficiency in Python, MATLAB, and C, including real-time edge computing and embedded systems.
Nice to have
- Background in digital signal processing for audio and time-series data.
Culture & Benefits
- Regular employment with medical, dental, vision, life insurance, disability, and flexible spending benefits.
- Health savings account, pre-tax commuter benefits, pet insurance, paid sick time, paid holidays, and accrued paid vacation.
- Work within a global organization of more than 21,000 engineers and problem solvers across over 30 countries.
- Culture centered on being Transparent, Agile, Global, Innovative, and Entrepreneurial.
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