Senior Researcher - Connectivity & AI
At a glance
Senior AI Research role at Generalmotors. Herzliya · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Use field, lab and simulation data to assess connectivity performance and compare it with commercial devices
- Build AI/ML and analytical approaches that strengthen wireless reliability and improve user experience
- Test system-level changes to in-vehicle connectivity across different radio technologies
- Develop predictive models for link-level and end-to-end network performance
- Help shape future connectivity designs and standards for customer-facing applications
What you bring
- A PhD in electrical engineering, computer science, mathematics, physics or a related discipline
- Strong wireless communications expertise across physical and higher-layer protocols, cellular and WLAN systems, and deployment trade-offs
- A solid grounding in signal processing, statistics, optimization, estimation, detection and information theory
- Hands-on AI/ML model development and evaluation, plus programming in Python, MATLAB and C/C++
- Experience with a deep learning framework such as TensorFlow or PyTorch
Who this fits
This senior research role suits someone who combines wireless systems expertise with applied AI/ML work. The position is based in Herzliya, Israel, with a hybrid arrangement.
From the employer
Job 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:
Improve real-world connectivity performance and reliability in production vehicles
Maximize customer satisfaction for connectivity-dependent applications
Explore new algorithms and system configurations across all layers of the communication stack
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?
Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations
Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps
Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience
Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies
Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications
Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments
Develop predictive models for:
Physical layer (link-level) performance
End-to-end system and network performance
Your Skills & Abilities (Required Qualifications)
PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field
Strong background in wireless communications, including:
Physical layer and higher-layer protocols
Cellular (4G/5G) and WLAN systems
Real-world deployment considerations and KPI trade-offs
Solid foundation in:
Signal processing
Probability and statistics
Optimization
Estimation and detection theory
Information theory
Proven experience in AI/ML, including model development and evaluation
Proficiency in programming: Python, MATLAB, C/C++
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in applied research and transitioning ideas into practical solutions
Background in system-level simulations or real-world measurement campaigns
Familiarity with automotive connectivity use cases and constraints
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.




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.
Non-Discrimination and Equal Employment Opportunities
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.
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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