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What you will be doing:
Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.
Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.
Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.
Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.
What we need to see:
PhD or Master's degree with equivalent experience.
8+ years of experience
Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.
Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.
Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
Ways to stand out from the crowd:
Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.
Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.
Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.
Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.
These jobs might be a good fit

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What you will be doing:
Join Beer-Sheva/Tel-Aviv group, working ondesigning/verificationin the fields of encryption.
Design and verification for chip blocks/entities according to specifications under challenging constraints and with high orientation to power, area and performance.
Daily work will involve design/verification and might involve any or all aspects of chip development including design and micro-architecture.
Work closely with firmware and other groups around the globe.
What we need to see:
B.SC./M.SC. or equivalent experience in ElectricalEngineering/CommunicationEngineering/Computer Engineering
0+ years of validated experience in RTL Frontend ASIC Verification or Design (Chip Design)
High Level of English
Ways to stand out from the crowd:
Former experience in RTL Frontend ASIC Verification: 2+ years
Knowledge in Specman
Knowledge in Verilog

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What you’ll be doing:
Design and develop user-spaceapplications responsiblefor simulation large scale InfiniBand networks of thousands of network devices
Improve performance and optimize algorithms for using the simulator in Docker and cloud setups
Collaborate with multiple teams in our multi-functional environment on developing new
What we need to see:
B.Sc. in Computer Science or Software Engineering or equivalent experience
4+ years of experience as Software Engineer, including experience with C/C++
Self and quick learning abilities
Ways to stand out from the crowd:
Proficient knowledge in C/C++
Excellent social and written communication skills
Knowledge of network topologies design and routing algorithms

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
What will you be doing:
You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.
Develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!
Deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.
What we need to see:
Bachelor of Science or equivalent experience
8+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.
Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.
Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.
Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.
Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development
Ways to stand out from the crowd:
Experience with data center infrastructure and cloud architectures
Background in network performance monitoring or observability
Previous experience working at a technological start-up

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Perform board bring-up, validation, and debugging activities in the lab
Operate lab equipment such as oscilloscopes, power supplies, logic/spectrum analyzers, and multimeters
Support hardware investigations by reading schematics, analyzing layouts, and completing test procedures
Document test results and communicate findings clearly to engineering teams
Work closely with electrical, mechanical, thermal, and system engineers throughout the development cycle
At least 2 years of hands-on experience in a hardware lab environment
Proven experience with lab equipment and board-level debugging
Ability to understand schematics and PCB layouts
Strong problem-solving skills and teamwork mindset
Good technical English for reading datasheets and writing reports
Experience working with high-speed interfaces (PCIe, Ethernet, SerDes)
Familiarity with thermal/mechanical test setups
Experience with test automation.
Background using bug tracking or PLM tools

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What you’ll be doing:
Work with SI, Thermal, Hardware engineering, IC development team to examine and understand road map requirements, understand the gaps. Collaborate with PCB, PCBA, materials vendors, R&D teams and management, drive capabilities to overlap with NVIDIA NETWORKING needs.
DFX: Build and Sustain design guidelines for functionality, test ability, reliability, cost. Become an active member in industry Eng. forums, IPC, HDPUG, SMTA... Reflect Nvidia’s interest and affect Industry specs & agenda. Preform Industry Benchmarking.
Ongoing PCB/PCBA activities: New materials from Selection to Implementation. New manufacturing technologies study, proof of concepts and implementation on products. Provide ongoing technological and process improvements to meet quality, cost and production goals. Engage with production line work. Provide ongoing production support to ensure continuous production.
PCB, PCBA reliability modelling.
Drive CMs to excellence in aspects of manufacturing process, quality management and HVM mindset.
What we need to see:
B.Sc. in Physics/ Chemistry /Material Engineer /Chemistry Engineering/ Electrical Engineering/ Mechanical Engineering
At least 5 years of experience in PCB and PCBA technology and development, demonstrating advanced knowledge and expertise in this area
Fully capable to read mechanical drawings, Gerber files and know general mechanical knowledge.
Strong problem solving, debugging, analysis and logical reasoning skills with examples to prove it.
Flexibility for handling a wide range of activities and wide technological fields.
Good written and spoken English.
Ways to stand out from the crowd:
Possess excellent written and oral communication skills, good work ethics, self-learning capability, love to technical education, high sense of team-work.
Love to produce quality work and commitment to finish your tasks every single day, has a Can-do as well as take ownership attitude.
A self-starter who loves to find creative solutions to challenging problems.
Strongly capable of leading cross functional teams within the organization and Technology PICs in multi CMs/Vendors
Strong problem-solving and analytical skills to identify and resolve technical issues during the product development process.

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What you’ll be doing:
Work on NVIDIA current and next generation of Networking devices and GPU.
Build and create Firmware Phy solutions for our new SerDes and physical linkup flow.
Work closely with our costumer support team to build solutions for our costumers
Work with the architecture, HW, and SW design teams
Debug and screen HW/FW/SW issues
Lead data-driven discussions about the product functionality and areas for improvement
Define implement and maintain FW algorithm to control the Silicon
Take an active part in silicon bring-up and SW development phases
What we need to see:
B.Sc. or M.Sc. in Electrical or Computer Engineering
3+ years of relevant experience
Proficient programming in C
Experience working in Git.
Debugging experience and ability to investigate and triage difficult problems in embedded FW
Good communication skills and the ability to work with people across several countries
Ability to work with interrupts and dynamic environment with good spirit.
Excellent English verbal and written communication skills
Ways to stand out from the crowd:
Proficient in Python
Good understanding of SerDes operation
Experience with developing the physical layer of communication protocols
Knowledgeable of Hardware/Software Development Process
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence

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What you will be doing:
Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.
Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.
Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.
Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.
What we need to see:
PhD or Master's degree with equivalent experience.
8+ years of experience
Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.
Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.
Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
Ways to stand out from the crowd:
Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.
Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.
Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.
Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.
These jobs might be a good fit