דרושים Robotics Solution Architect – Dnn Training Vision-language-action Models ב-אנבידיה ב-United Kingdom, Southampton

• Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/ guidance on training process in terms of tools and methodology

• Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics

• Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology

• Work with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.

• Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production

• Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server).

• Excellent verbal, written communication, and technical presentation skills in English.

• 5+ years' work or research experience with Python/ C++ / other software development

• AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights.

• Familiarity with Cosmos (e.g. Cosmos-Reason) and Isaac GR00T family of models.

• Familiarity with robotics simulation environments (Isaac Sim, Isaac Lab, MuJoco, etc.).

• Experience in large scale training / understanding of modern model, data, expert, context parallel training techniques.

• Track record in Neural Networks inference optimization for Physical AI use cases

What you'll be doing:

• Work with financial institutions and their technology ecosystem in leveraging NVIDIA's advanced technologies

• Provide technical guidance and support to internal teams and external stakeholders, ensuring effective ideation, research and developing solution prototypes, followed by a successful deployment.

• Work closely with product management, engineering, applied research and sales teams to develop and deliver comprehensive solutions.

• Stay updated on industry trends and advancements in hardware technologies to continually improve and innovate NVIDIA's software and data center solutions.

What we need to see:

• BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field.

• Minimum of 5 years of experience in AI and accelerated technologies.

• Background working within Financial Services firms.

• Expertise in writing code for training and/or inference for NVIDIA GPUs.

• Capable of working in a constantly evolving environment without losing focus.

• Self-starter with a passion for continuous learning and sharing findings across the team.

Ways to stand out from the crowd:

• Demonstrated understanding of how GPU acceleration can be applied to financial workloads.

• Knowledge of software-defined infrastructure and orchestration tools (Kubernetes, OpenStack).

• Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions.

• Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

• Collaborating with NVIDIA’s training framework developers and product teams to stay ahead of the latest features and help partners to adopt them effectively.

• Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms.

• Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams.

• Working directly with external customers to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions.

• Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs.

• Contributing to Europe’s Sovereign AI initiative by helping customers implement advanced resiliency features within AI training pipelines.

• BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience.

• 8+ years of experience in accelerated computing technologies at cluster scale, ideally including work with NVIDIA platforms.

• Strong programming skills in at least one of the following languages: C, C++, or Python.

• Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications.

• Hands-on experienced in profiling and debugging large parallel applications.

• Solid understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects.

• Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters).

• Proficient knowledge of training pipelines and frameworks, encompassing their internal operations and performance attributes.

• Experience in debugging training pipelines running on thousands of GPUs in production environment.

• Hands-on experience with performance profiling and optimizations using tools like Nsight Systems, Nsight Compute and good understanding of NCCL, MPI and low-level communication libraries.

• Ability to debug stability issues across the entire stack: parallel application, training frameworks, runtime libraries, schedulers, and hardware.

• Solid understanding of the internal workings of LLM frameworks such as PyTorch, Megatron-LM, or NeMo, and how they affect compute layers like CPUs, GPUs, network and storage or understanding of inference tools such as vLLM, Dynamo, TensorRT-LLM, RedHat Inference Server or SGLang.

What you will be doing:

• Work on the architecture for new media solutions targeting the broadcasting industry.

• Develop and maintain SW technologies for enabling and supporting NVIDIA's GPU and DPU hardware.

• Lead an entire software lifecycle

• Work with and influence other internal worldwide teams (AI, software, hardware, OEM support).

• Represent NVIDIA at Industry Standard bodies.

What we need to see:

• Bachelor's/Masters in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.

• 12+ years "hands on" experience developing and architecting solutions for the broadcasting industry.

• Knowledge in SMPTE 2110, AMWA NMOS and related standards.

• Cloud-focused experience (containers, Kubernetes, OAuth, building applications for cloud)

• Strong software engineering skills combined with a drive to solve hard problems are a must.

• Excellent programming skills in Python, C or C++.

Ways to stand out from the crowd:

• Strong written and oral communication skills to collaborate with other engineers, worldwide.

• Knowledge in video encoding, decoding and streaming technologies.

• The candidate should be able to work independently with minimal direction.

• Knowledge of graphics APIs, like Vulkan and OpenGL.