

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.
משרות נוספות שיכולות לעניין אותך

What you will be doing:
Develop a technical strategy to ensure Nvidia platforms adoption for selected industries, focusing on your priority industries and use cases
Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.
Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities
Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.
Be the key advisor to how we are differentiated. You will become a NVIDIA technology mentor and focal point for the software developer community.
What we need to see:
Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
Experience in several verticals/industries with good knowledge and trends in the industry.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
Able to work independently and possess excellent communication skills to drive customer and internal engagements.
Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
Execute and accelerate strategic decisions
Ability to effectively deliver value propositions for specific and targeted industries.
Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
Strong technical understanding of Data Analytics, Generative AI, Embedded System/Jetson.
Experience in network communication protocol is an added advantage.
Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions
Excellent organizational, planning, and execution skills

Why You'll Love This Role:
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.


What’s in it for you?
What you'll be doing:
You will be leading research, design, development, and implementation of algorithmic modules. You will perform algorithmic concepts and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraint.
What should you have?

Challenges
Responsibilities
Nice to Have:


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.
משרות נוספות שיכולות לעניין אותך