דרושים ב-Nvidia ב-United States, Seattle

What you will be doing:

• Work on-site with NVIDIA Enterprise customers in the Seatle area to resolve sophisticated technical issues and customer concerns through meticulous research and reproduction for customers installing our products with a focus on Infiniband, next-generation AI, and HPC server technologies.

• Own and resolve customer issues during installation, operation, maintenance or product application or interoperability with other vendors

• Work with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects) and software technologies such as ML frameworks and tools like Spark, Kubernetes, and Ceph.

• Bringing independent analysis, communication, and problem-solving skills to improve customers' experiences.

• Author and incorporate technical solutions into our knowledge base

• Be a technical resource, develop, re-define and document standard methodologies to share with internal teams (Support / R&D) for support processes and improvements.

What we need to see:

• 8+ years in providing in-depth customer support and debugging for hardware and software products.

• Bachelors degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or related field

• Profound knowledge and experience with Linux and Networking (LFCS / RHCSA)

• Expertise with data center virtualization (VMWARE, Docker, Kubernetes) concepts and trends.

• Exceptional interpersonal skills with the ability to maintain and lead the overall resolution for any critical issue raised by our customers, under all circumstances.

• Superb communication and presentation/oral skills

• Strong organizational skills and able to prioritize / multi-task easily with limited supervision.

Ways to stand out from the crowd:

• Experience in solving problems in large-scale HPC network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts

• Effective and thorough troubleshooting and debugging methodology

• Experience as a developer and/or support escalation team member for large enterprise/service provider customers at a company that produces AI and data analytics software

• Scripting in Python, bash, Ansible, yaml, etc

• Background with developing or debugging AI and data analytics software.

What you'll be doing:

• Applying AI, graphics, networking and computer vision techniques to improve glasses, AR, VR and Spatial Computing systems

• Engaging in cross platform development in C++ and python

• Creating innovative designs and algorithms to power new AI and robotics systems

What we need to see:

• BS/MS in Computer Science or equivalent experience

• 6+ years of experience in a similar or related role

• Significant experience in C++

• Practical experience solving real world problems with at least one of: AI, robotics, real-time rendering, media streaming and networking.

• Extensive experience working in large scale code bases / projects

• Phenomenal team player and collaborator

Ways to stand out from the crowd:

• Experience with XR development: augmented reality, virtual reality, or spatial computing in any form factor: glasses, headsets or smartphones.

• Experience with game engines like Unreal and Unity

• Background in GPU, framerate and latency optimization

What you will be doing:

• Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;

• Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;

• Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;

• Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;

• Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;

• Mentoring interns and more junior research scientists and engineers.

What we need to see:

• A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). At least 3 years of research experience after completing your PhD; 5+ years is preferred.

• Deep knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.

• A proven track record of research excellence, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.

• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.

• Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.

• Fluency in modern deep learning frameworks such as PyTorch and JAX. Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.

• Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.

Ways to stand out from the crowd:

• Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.

• A history of successfully mentoring junior researchers, engineers, and/or interns.

• Experience with one or more of the following research areas and applications, which are of particular interest:

  • Bimanual and dexterous manipulation

  • Mobile manipulation and humanoid loco-manipulation

  • Multisensory perception (e.g., vision, tactile, and force/torque sensing)

  • Simulation, sim-to-real, and real-to-sim

  • Vision-language-action(VLA) models, including architectural advancements, large-scale training, and test-time reasoning

  • Industrial applications, such as bin-picking, kitting, and assembly

• Work closely with the architecture and different software design teams.

• Implement new features in the core of Mellanox NIC firmware.

• Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

• Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

• Lead a small group of firmware engineers developing features for customers.

• You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

• BS in Computer Science/Engineering or similar field or equivalent experience.

• 7+ of professional experience.

• Strong C/C++ and scripting languages (Like bash, python, etc...).

• Excellent understanding of data structures and algorithms fundamentals.

• Experience in large cloud E2E infrastructure.

• Experience in PCI-E and/or computer networks.

• Strong analytical, debugging and problem solving skills.

• Motivated and independent with strong interpersonal skills.

• Knowledge of sophisticated network protocols like Infiniband/RoCE.

• Prior verification experience.

• Experience with Agile methods.

• Knowledge in storage protocols like NVME.

What you will be doing:

• Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;

• Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;

• Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;

• Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;

• Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;

• Mentoring interns joining NVIDIA during their PhD programs.

What we need to see:

• Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).

• A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.

• Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.

• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.

• Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.

The following research areas and applications are of particular interest:

• Bimanual and dexterous manipulation

• Mobile manipulation and humanoid loco-manipulation

• Multisensory perception (e.g., vision, tactile, and force/torque sensing)

• Simulation, sim-to-real, and real-to-sim

• Vision-language-action(VLA) models, including architectural advancements, large-scale training, and test-time reasoning

• Industrial applications, such as bin-picking, kitting, and assembly

The Seattle Robotics Lab is currently located near the University of Washington and is moving to a new office in the vibrant Fremont neighborhood in 2026.

What you'll be doing:

• Collaborate closely with team members: You will work with backend engineers, frontend engineers, infrastructure engineers, and engineering managers to ensure reliable integration and deployment of services.

• Enhance and maintain CI/CD pipelines: You will be responsible for updating and optimizing our CI/CD pipelines, ensuring efficient and reliable software delivery.

• Implement and run infrastructure: You will set up and handle various infrastructure components, such as NATS clusters, Vault PKI secrets, and observability tools.

• Develop and document processes: You will establish and maintain comprehensive documentation for deployment processes, observability tooling, and on-call procedures.

• Automate and improve workflows: You will investigate and implement automation solutions for common tasks, improving the developer experience of working on the cloud console.

What we need to see:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Electrical Engineering, or a related field.

• Familiar with building and maintaining software in a team environment with Git.

• Hands-on experience with Linux, Git, and comfortable working with CLI shells/tools.

• Collaboration and Communication: Exceptional social skills with the ability to thrive in multi-functional teams. You are proactive in reaching out for help when hitting roadblocks.

• Resourceful in finding solutions and adapting to new challenges in a dynamic environment.

Ways to stand out from the crowd:

• Demonstrated contributions to major open source infrastructure projects related to DevOps, such as Terraform, Kubernetes, or Git.

• Proven knowledge of Cloud Service Providers such as AWS, Azure, or GCP.

• Prior experience with Kubernetes

• Experience building services with the Go programming language.

• A proactive and positive demeanor, with a passion for continuous learning and improvement.

You will also be eligible for Intern