Senior Solutions Architect Omniverse Platform jobs at Nvidia in China, Beijing

What You’ll Be Doing:

• Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers.

• Assist in supporting industry accounts and drivingresearch/influencing/newbusiness in those accounts.

• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.

• Understand and analyze customers' workloads and demands for accelerated computing, including but not limited to: LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.

• Assist customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, TensorRT-LLM,NeMoFramework, etc.

• Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.

• Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

What We Need To See:

• 3+ years’ experience withresearch/development/applicationof Machine Learning, data analytics, or computer vision work flows.

• Outstanding verbal and written communication skills

• Ability to work independently with minimal day-to-day direction

• Knowledge of industry application hotspots and trends in AI and large models.

• Familiarity with large model-related technology stacks and common inference/training optimization methods.C/C++/Python programming experience

• Desire to be involved in multiple diverse and innovative projects

• Experience using scale-out cloud and/or HPC architectures for parallel programming

• MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience.

Ways To Stand Out From The Crowd:

• AIGC/LLM/NLP experience

• CUDA optimization experience.

• Experience with Deep Learning frameworks and tools.

• Engineering experience in areas such as model acceleration and kernel optimization.

• Extensive experience designing and deploying large scale HPC and enterprise computing systems.

What you will be doing:

• Investigate and resolve sensor calibration and egomotion algorithm/toolchain issues across multiple OEM vehicle platforms.

• Develop core autonomous driving functionality for global markets by fusing state-of-the-art perception DNNs with map signals.

• Build real-time 3D world models for planning, integrating diverse inputs from sensors and external sources.

• Develop and optimize LLM, VLM, and VLA systems for autonomous driving applications, including pre-training and fine-tuning.

• Design innovative data generation and collection strategies to improve dataset diversity and quality.

• Collaborate with cross-functional teams to deploy end-to-end AI models in production, ensuring performance, safety, and reliability standards are met.

What we need to see:

• A MS, or PhD, or equivalent professional experience in Computer Science, Computer Engineering, Mathematics, Physics, or a related discipline.

• Over 3 years of relevant industry experience.

• Expertise in C/C++ programming, with a comprehensive understanding of standard C++ features, algorithms, and data structures, along with proficiency in Linux environments.

• In-depth knowledge of parameter models for sensor calibration.

• A solid grasp of digital image processing, three-dimensional multi-view geometry, nonlinear optimization, and KF/EKF.

• A robust mathematical foundation, especially in matrix-related concepts.

• Engineering expertise in developing and delivering deep learning applications for autonomous vehicles or robotics

• Engineering expertise in developing and delivering real-time 3D world models for planning in AV system.

• Excellent collaboration skills and the ability to work effectively with individuals from various nationalities and locations.

Ways to stand out from the crowd:

• Experience with a range of sensors and their data (camera, lidar, radar, IMU, GNSS, CAN Odometry).

• Extensive experience in SLAM algorithms

• Extensive deep learning experience related to autonomous driving.

• A track record of designing SLAM algorithms for successful ADAS projects.

What you’ll be doing:

• Develop and implement solutions throughout software development lifecycles to improve developer efficiency, accelerate feedback loops, and boost release reliability

• Experience designing, developing, and deploying AI agents to automate software development workflows and processes.

• Continuously measure and report on the impact of AI interventions, showing progress in metrics such as cycle time, change failure rate, and mean time to recovery (MTTR).

• Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.

• Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

What we need to see:

• BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.

• Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and Agent development

• Strong background in implementing AI solutions to solve real-world software engineering problems.

• Hands-on experience on Python/Java/Go with extensive python scripting experience.

• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

• Full-stack, end-to-end development expertise, with proficiency in building and integrating solutions from the front-end (e.g., React, Angular) to the back-end (Python, Go, Java) and managing data infrastructure (SQL/NoSQL).

• Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.

• Good understanding of distributed systems, understanding of microservice architecture and REST APIs.

• Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.

Ways to stand out from the crowd:

• Proven expertise in applied AI, particularly using Retrieval-Augmented Generation (RAG) and fine-tuning LLMs on enterprise data to solve complex software engineering challenges.

• Experience delivering large-scale, service-oriented software projects under real-time constraints, demonstrating an understanding of the complex development environments this role will optimize.

• Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.

What you'll be doing:

• Design and implement triggering systems and deploy containerized orchestration pipelines for distributed map creation, maintenance, and evaluation from crowdsourced vehicle data

• Develop map quality detection systems including automated hotspot detection algorithms and human-in-the-loop review workflows for large scale map validation

• Develop Python, C++, and JavaScript tools for map management, data validation, on-vehicle testing, and web-based geospatial visualizations

• Build C++ modules for on-vehicle map integration with perception, localization, and other consumers to ensure end-to-end validation of the maps' impact on driving performance

• Work with embedded systems and real-time constraints to optimize map consumption by autonomous driving software

• Collaborate with perception, planning, and operations teams to improve map quality and real-time driving performance

What we need to see:

• BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)

• 5+ years of proven experience building production data pipelines, distributed systems, mapping infrastructure, or map to vehicle integration

• Strong C++ programming skills for performance-critical algorithms, data processing tools, and on-vehicle software

• Strong Python programming skills for automation, workflow orchestration, and API development

• Proficiency with JavaScript for building web-based tools, visualizations, and internal dashboards

• Hands-on experience with Airflow or similar workflow orchestration frameworks

• Experience with Docker, Kubernetes, and cloud platforms

• Experience with Protocol Buffers, gRPC, and REST API design

• Excellent problem-solving skills and ability to debug sophisticated distributed and embedded systems

Ways to stand out from the crowd:

• Extensive experience with SD & HD mapping and autonomous vehicle software architectures

• Deep understanding of how maps are consumed by localization, perception, and planning systems in autonomous vehicles

• Deep knowledge of road topology generation, analysis, and graph partitioning algorithms

• Experience with computer vision concepts pipelines (3D geometry, point clouds,structure-from-motion,COLMAP, SfM, visual odometry)

• Experience debugging and profiling performance on embedded platforms (NVIDIA Orin, Xavier, etc.)

What you’ll be doing:

• Drive NVIDIA revenue in large auto accounts

• Engage with various NVIDIA technology partners and identify areas of collaboration. Identify complementary technologies needed to build complex solutions using our computing platforms.

• Create go-to-market execution w/ cross functional teams

• Prioritize and report on key business metrics to measure and guide global industry teams.

• Influence and align with sales and customer teams to understand customer requirements and build a scale out plan for target market technologies

• Generating technology trends and market analysis

• Represent and evangelize NVIDIA solutions at key industry events

What we need to see:

• BS/MS (or equivalent experience) with 10+ years of BD/Sales experience in enterprise, especially AUTO industry

• MBA/MS or advanced degree desired

• Fluent English in speaking, reading, and writing

• Experience in AI in autonomous driving is a plus

• Strong leadership skills, self-starter

• Excellent communication abilities and shared attitude

Ways to stand out from the crowd

• Experience in successfully leading to build strategic partnerships and a versatile ISV ecosystem in Autonomous driving

• Experience with deep learning and/or other AI technologies

What you'll be doing:

• Developing and implementing GPU solutions that cater to both graphics and computing workloads using NVIDIA’s innovative technology.

• Engaging directly with customers to understand their requirements and provide flawless solutions, ensuring their success with NVIDIA products.

• Working closely with internal teams to identify and effectively implement GPU solutions that align with our rigorous quality standards.

• Applying your expertise with NVIDIA GPUs, including CUDA, frameworks, and SDKs, to achieve world-class performance and reliability.

• Leading and participating in customer projects, encouraging a collaborative and inclusive environment to achieve shared objectives.

What we need to see:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent program.

• 5+ years of experience.

• Demonstrated background working with NVIDIA GPU technology, encompassing Graphics, CUDA, frameworks, and SDKs.

• Proficient knowledge in handling graphics and computational tasks on NVIDIA GPUs.

• Outstanding communication prowess, adept at expressing thoughts in English verbally and in writing.

• Demonstrated ability to work effectively in a team setting, contributing to project success.

• Experience interacting with customers while comprehending and attending to their requirements.

• Familiarity with infrastructure skills such as Kubernetes (k8s) and a deep understanding of public cloud techniques is a plus.

What you will be doing:

• Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.

• Be the domain expert with customers during planning calls through implementation.

• Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!

• Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience.

• 4+ years providing in-depth support and deployment services, solving problems for hardware and software products.

• Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, bootprocedures/troubleshooting,performancereporting/optimization/logging,network routing/advanced networking (tuning and monitoring).

• Cluster management technologies.

• Scripting proficiency.

• Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills.

• Strong organizational skills and ability toprioritize/multi-taskeasily with limited supervision.

• Industry-standard Linux certifications.

• Experience with Schedulers such as SLURM, LSF, UGE, etc.

Ways to stand out from crowd:

• InfiniBand or Ethernet Experience.

• Experience with GPU-focused hardware/software.

• Experience with MPI.

• Automation tooling background (Ansible, Salt, Puppet etc.).

• knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.