Public Relations jobs
Nvidia Senior Developer Relations Manager - COSMOS Foundation Model... United States, Texas
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- US, CA, Santa Clara
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
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
Unity Manager Partner Relations APAC United States, Connecticut, New Haven
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- Call out urgent customer issues and independently push to solutions by enlisting resources both inside and outside of the technical support team
- Supervise customer satisfaction and ensure the resolution of emerging issues in real-time
- Build and maintain real-time reporting of responsiveness, service quality and customer satisfaction and use the data to help drive Unity's customer care culture
- Proactively maintain excellent relations between the team and other departments within Unity
- Proven track record of leading high-performance teams & managing large groups of external partners
- Proficient English-speaker with outstanding social & communication skills, and a highly-proactive personality
- Previous experience in a international management position reporting to a global manager ideally at an English-first company
- Able to travel both domestically and internationally
- Knowledge of SaaS Customer Success lifecycles and actions
- Previous employment in the games industry, including games services or other intersecting industries
- Relocation support is not available for this position.
- International relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position.
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Nvidia Developer Relations Manager Metropolis – Manufacturing Indus... United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 17 Days Ago
- job requisition id
Are you a rare mix of technical depth, ecosystem savvy, and
What You’ll Be Doing:
Engage and support ISVs, system integrators, and manufacturers using AI to transform industrial operations.
Partner with developers to help them integrate NVIDIA’s latest vision AI technologies into scalable industrial solutions.
Collaborate with product, engineering, and marketing teams to amplify developer enablement and ecosystem growth.
Drive early adoption of NVIDIA Metropolis and related SDKs, ensuring partner success through hands-on guidance and technical onboarding.
Identify and elevate lighthouse partners demonstrating best-in-class industrial AI use cases.
What We Need To See:
8yrs of proven ability in a technical or developer-facing role, ideally within AI, industrial automation, or OT systems integration.
Bachelor’s or advanced degree in computer science, engineering, or related field, or equivalent experience.
Proven success building and supporting developer ecosystems or partner networks.
Strong technical understanding of AI, machine learning, video analytics, or related technologies.
Excellent communication andrelationship-buildingskills, with the ability to convey complex technical concepts clearly across technical and business audiences.
Ability to collaborate multi-functionally to accelerate adoption and scale developer success.
Ways To Stand Out From The Crowd:
Experience applying AI in manufacturing or industrial automation, including computer vision, robotics, or digital-twin workflows.
Experience in manufacturing operations or adjacent industrial fields, with a deep understanding of the unique challenges, risk tolerance, and change-management dynamics that shape technology adoption in these traditionally conservative industries.
Hands-on familiarity with AI for computer vision, robotics, or NVIDIA platforms (Metropolis, Omniverse, CUDA-X)
Proven success enabling ISVs, manufacturers, or system integrators in sectors such as manufacturing, logistics, or energy, guiding them from pilot to scaled deployment.
Passion for helping developers and operators bridge the gap between innovation and production reality through intelligent, AI-powered systems.
You will also be eligible for equity and .
Nvidia Developer Relations Manager - Robotics United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources, including sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support robotics startups with their synthetic data generation strategy.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
6+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Experience in training computer vision and/or kinematic foundation models
Proven success in growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
Google Senior Systems Development Engineer CDS Public Sector United States, Virginia
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- Bachelor's degree in Computer Science, Information Technology or a related field, or equivalent practical experience.
- 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).
- 5 years of experience in Linux or Unix.
- 5 years of experience in scripting or automation using Python, Shell or Go.
- Active Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with polygraph.
Preferred qualifications:
- Experience with configuration automation tools (e.g., Ansible, Puppet, Chef, SaltStack).
- Experience with cloud technologies, Google Cloud Platform (GCP) or other cloud hyperscaler.
- Experience with networking technologies with Open Systems Interconnect (OSI) model and, knowledge of domestic and global carrier networks.
- Knowledge of the trends in the security industry, public policy.
Google Technical Account Manager Google Public Sector United States, Texas, Austin
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Minimum qualifications:
- Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- 5 years of experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs.
- Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, escalation management, or IT consulting.
- Experience in application or workload migration to public cloud providers.
Preferred qualifications:
- MBA or Master’s degree in a Management, Technical, or Engineering field.
- Experience translating business requirements into technological solutions.
- Experience in application or workload migration to public cloud providers.
- Experience collaborating with teams, groups, business units, channel partners, systems integrators, and third-party developers to deliver high-impact solutions.
- Excellent written and verbal communication, presentation, problem-solving, and client management skills.
- Active, or the ability to obtain, a Top Secret/SCI security clearance.
Google Staff Software Engineer AI/ML Full Stack Public Sector United States, Virginia
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products related to Machine Learning, NLP, etc., and 3 years of experience with software design and architecture.
- Experience in languages such as Java, C++, Go, Python, or full-stack development.
- Active Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with polygraph.
Preferred qualifications:
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience working collaboratively with various partner teams such as Product Managers and other Engineering teams.
- Experience in two or more general purpose programming languages, preferably in back-end programming.
- Experience productizing new technologies, from concept prototyping through to volume production.
- Experience using GCP, GDC, or other Cloud services and with Kubernetes.
Share
- US, CA, Santa Clara
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
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
