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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 .
These jobs might be a good fit

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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
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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
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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 .

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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$90,000—$110,000 USD
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As a Senior Web Analyst, you will play a pivotal role in shaping our digital strategy and optimizing online experiences. Leveraging your extensive expertise, you will champion data-driven decision-making processes, providing actionable insights to enhance our web presence and maximize performance. This senior-level position requires approximately 8 years of experience in web analytics, where you will tackle complex issues and contribute to strategic initiatives. You are a proactive source of valuable and actionable information with a deep understanding of web best practices, norms, and usage patterns.
This position is based in Seattle and reports to the Director, Digital Intelligence and Optimization
PRIMARY RESPONSIBILITIES:
Advanced Web Analytics: Lead the development and execution of sophisticated web analytics strategies to measure, analyze, and report on key performance indicators (KPIs) across digital platforms.
Data Analysis and Interpretation: Conduct in-depth analysis of complex data sets, identifying trends, patterns, and opportunities. Translate findings into actionable recommendations aond coherent narratives to inform business strategy.
Data Visualization: Ability to communicate vast and complex data stories in visually elegant and digestible ways, distilling the insights into compelling presentations. Comfort in Adobe Analytics and Tableau a plus.
Performance Optimization: Collaborate with cross-functional teams to optimize website performance, user experience, and conversion rates. Work to identify candidates for A/B testing to drive continuous improvement.
Tag Management: Oversee the implementation and maintenance of web tracking tags, ensuring accurate data collection and alignment with business objectives.
Reporting and Dashboards: Develop and maintain comprehensive reporting dashboards, providing key stakeholders with real-time insights into website performance and digital marketing effectiveness.
Competitor Analysis: Stay abreast of industry trends and competitors' digital strategies. Provide insights and recommendations to maintain a competitive edge.
Collaboration: Work closely with marketing, product, and IT teams to understand business goals and contribute to the development of digital strategies.
Required Skills, Experience, andQualifications:
Bachelor's degree in a relevant field; advanced degree preferred. Relevant and sufficient work experience can replace.
Approximately 8 years of experience in web analytics within an enterprise environment.
Deep proficiency in web analytics tools (e.g., Google Analytics, Adobe Analytics) and tag management systems (preference for Tealium).
Strong analytical and problem-solving skills with the ability to analyze complex data sets.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Proven experience in collaborating with cross-functional teams and influencing strategicdecision-making.
Knowledge of digital marketing principles and strategies.
Certifications in web analytics or related fields are a plus.
Ability to multi-task and prioritize in a fast-paced and dynamic work environment.
Work effectively as part of a team and independently with a positive attitude.
Effective collaboration andrelationship-buildingskills.
Takes accountability and ownership of his/her own work.
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
Duties are performed in a normal office environment while sitting at a desk or computer table.
Duties require the ability to utilize a computer, communicate over the telephone, and read printed material.
Duties may require being on call periodically and working outside normal working hours (evenings and weekends).
Duties may require some travel to trade events and business planning meetings.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $96,800.00 - $145,200.00
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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 .

Share
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 .
These jobs might be a good fit