Description
GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road.
GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group
General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally.
The Wireless Connectivity R&D group focuses on advancing both current and future connectivity technologies across cellular (4G/5G/6G), Wi-Fi, Bluetooth, UWB, and beyond.
Our mission is to:
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Improve real-world connectivity performance and reliability in production vehicles
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Maximize customer satisfaction for connectivity-dependent applications
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Explore new algorithms and system configurations across all layers of the communication stack
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Contribute to future connectivity standards and architectures
About the Role
We are seeking a Senior Researcher - Wireless Connectivity & AI to drive innovation at the intersection of wireless communications, AI/ML, and automotive applications.
This role combines deep technical expertise in wireless systems with advanced data-driven methods to unlock new capabilities and improve real-world performance beyond current limits.
What will YOU do?
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Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations
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Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps
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Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience
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Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies
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Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications
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Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments
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Develop predictive models for:
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Physical layer (link-level) performance
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End-to-end system and network performance
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Your Skills & Abilities (Required Qualifications)
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PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field
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Strong background in wireless communications, including:
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Physical layer and higher-layer protocols
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Cellular (4G/5G) and WLAN systems
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Real-world deployment considerations and KPI trade-offs
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Solid foundation in:
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Signal processing
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Probability and statistics
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Optimization
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Estimation and detection theory
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Information theory
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Proven experience in AI/ML, including model development and evaluation
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Proficiency in programming: Python, MATLAB, C/C++
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Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
What Will Give You a Competitive Edge (Preferred Qualifications)
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Experience in applied research and transitioning ideas into practical solutions
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Background in system-level simulations or real-world measurement campaigns
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Familiarity with automotive connectivity use cases and constraints
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Contributions to research or standardization (publications, patents, 3GPP/IEEE involvement)
Why Join Us
This is a unique opportunity to work at the forefront of wireless connectivity innovation, combining AI, communications, and real-world automotive applications . You will have the ability to influence both current vehicle performance and future industry standards , while working with a highly skilled, multidisciplinary team.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship now or in the future.
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
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