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Senior Embedded Engineer - Netherlands (Remote)
Nijmegen, Netherlands; Remote
·
Remote
·
Full-time
·
2w ago
Company:
Qualcomm Technologies Netherlands B.V.
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leader? This opportunity blends both worlds into one. Edge Impulse has joined forces with the Mobile and Industrial IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm’s diversification roadmap.
Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by health and wearable organizations, industrial organizations, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike.
Primary Responsibilities
Our embedded engineering team enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. We believe that machine learning will enable the valuable use of the 99% of sensor data that is currently discarded due to cost, bandwidth or power constraints. Our framework provides data ingestion, labeling, training, and deployment capabilities to accelerate developer success with ML on the edge.
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Expand the fleet of embedded edge devices that support machine learning
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Develop code that enables Edge Impulse Machine Learning onto embedded devices using modern software development and deployment tools
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Connect sensors (image, audio, motion) to Edge Impulse applications
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Develop algorithms for data / image processing
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Improve / develop tooling that connects an embedded system to a larger system
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Drive solutions forward with an ownership mindset working effectively both independently and as a member of a distributed team
Preferred Skills and Experience
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Experience as bringing creative solutions to challenging problems and working hands-on to build IoT / embedded ML solutions
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A minimum of 7 years of experience in embedded software development
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Proficient writing code in C/C++ and familiarity with Python, Typescript, shell, and other scripting languages.
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Proven experience delivering technical projects on embedded processors using an understanding of:
o Processor architecture and peripheral control o Embedded development tools (GCC, Make, CMake)
o Debugging tools
o Operating systems (like Embedded Linux and Android) targeted for embedded devices
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Experience with developing computer vision applications.
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Exposure to the following technologies would be useful
o Embedded Machine Learning
o GStreamer
o OpenCV
o Buildroot / Yocto distributions Linux Kernel and/or Linux driver development
Academic Credentials
- Bachelor’s degree or equivalent practical experience
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$215,000
total / year
Base
$170,000
Stock
$30,000
Bonus
$15,000
$182,750
$247,250
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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