

What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך

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.
Gross pay salary$135,800—$203,600 USD
What you’ll be doing:
Develop and test sample applications for chemistry and materials discovery using artificial intelligence.
Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.
Create clear, practical examples and documentation for developers and researchers.
What we need to see:
Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.
Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).
Basic understanding of chemistry or materials science principles.
Ways to stand out from the crowd:
Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.
Contributions to open-source projects related to AI or scientific computing.
Coursework or projects involving AI for scientific applications.
You will also be eligible for Intern
Applications for this job will be accepted at least until November 14,2025.NVIDIA
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Gross pay salary$135,800—$203,600 USD
What we need to see:
5 years’ experience of Programming in C/C++
3 years’ experience in Linux environment and tools
Deep knowledge of Networking Protocols InfiniBand, Ethernet
Deep knowledge in computer architecture and operating systems
Experience in performance optimizations
MSc in computer science / software engineering (or equivalent experience).
Ways to stand out from the crowd:
You have positive attitude and work well with others.
PhD in CS/EE/Math/Physics
Knowledge in MPI and High-performance computing
Knowledge in RDMA technology
Open Source Software Contributor
You will also be eligible for equity and .

Key Responsibilities:
Design and Development: Develop, test, and maintain factory automation systems, including manufacturing execution systems (MES), production activity control (PAC), and scheduling algorithms.
Optimization and Integration: Analyze, prototype, and enhance automation solutions that improve factory performance, output, and cycle time while meeting environmental constraints.
Collaboration and Innovation: Partner with cross-functional teams (automation engineers, manufacturing planners, industrial engineers) to create and implement data-driven solutions using advanced technologies such as machine learning, statistical analysis, and optimization algorithms.
Documentation and Support: Provide input to technical documentation, create product manuals, and support post-deployment systems to ensure optimal performance and scalability. Adapt and prioritize work based on the changing business needs. The candidate should also exhibit the following behavioral traits and/or skills:
Problem-solving: Strong analytical skills to address complex manufacturing challenges and develop innovative solutions.
Collaboration: Excellent teamwork and communication abilities to collaborate with engineers and stakeholders.
Adaptability: Comfortable working in ambiguous environments and self-motivated to drive solutions.
Attention to Detail: Strong organizational skills to manage multiple projects and ensure accurate execution. Willingness to quickly learn and master various facets of Intel's business to deliver value-driven solutions.
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
US Citizenship required.
Ability to obtain and maintain a US Government Security Clearance.
Bachelor's degree in computer science, Computer Engineering, or a related field or Master's or PhD degree in Computer Science, Computer Engineering, or a STEM related field and 3+ years relevant experience.
3+ years of experience in software development, design, and testing, with a focus on factory automation or similar mission-critical systems (such as web service development, cloud application development).
3+ years' experience in C# and .NET.
3+Experience with at least two of the following: RDBMS Systems (Oracle, MS-SQL, Postgres etc.)
Preferred Qualifications:
Master's or PhD degree in computer science, computer engineering, or a related field and 5+ years' experience.
Active US Government Security Clearance,
with a minimum of Secret level.
Experience semiconductor manufacturing processes, factory automation, manufacturing execution planning, production control, and dispatching systems.
Experience with Agile methodologies and automated testing and deployment processes.
Experience with Python (Pandas, NumPy, SciPy) and graphical user interface (GUI) development, particularly using Applied Materials' Advanced Productivity Family (APF and FAB300).
Experience with machine learning, data mining, and advanced optimization tools like CPLEX Optimization Studio.
Python programming skills Troubleshooting and debugging skills in production environments.
Software/Systems Development Life Cycle (SDLC)DevOps Practices System architecture definition and documentation
Experience with systems engineering (e.g., Windows, SAN, Firewalls, WAN, BCP, Databases).
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US:This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
Develop applications and tools that bring data driven insights to development and test workflows.
Build tools/utility/framework inPython / C / C++ which would help automate and optimize the testing workflows in GPU domain.
Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
Generate and test compatibility across a range of products and interfaces.
Work closely with leadership to report progress by generating effective and impactful reports
What we need to see:
B.E./B. Tech degree inComputer Science/IT/Electronics engineeringwith strong academics or equivalent experience
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
Good experience with using AI development tools for test plans creation, test cases development and test cases automation
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
Experience working with databases and storage technologies like SQL and Elasticsearch
Good understanding of OS fundamentals, PC Hardware and troubleshooting.
Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage
Excellent written, verbal, analytical and problem-solving skills and ability to work with a team of engineers in a fast paced environment
Ways to stand out from the crowd:
Prior project experience with building ML and DL based applications would be a plus
Good understanding of testing fundamentals
Good problem solving skills (solid logic to apply in isolation and regression of issues found).
You will also be eligible for equity and .

What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .
משרות נוספות שיכולות לעניין אותך