דרושים Security Operations Manager - ב-אנבידיה ב-China, Shanghai

What you’ll be doing:

• Lead, mentor, and grow a high-performing team of applied research engineers focused on humanoid loco-manipulation and mobile manipulation.

• Drive the definition, planning, and execution of projects involving foundation models (GR00T, Cosmos), Isaac Lab, and Newton workflows.

• Guide the team in advancing robot learning technologies and synthetic data generation from human video datasets.

• Hands-on design, implementation, and deployment of novel algorithms for humanoid robot locomotion and manipulation in simulation and real-world environments.

• Ensure seamless integration of applied research outputs with NVIDIA’s advanced robotics platforms.

• Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications in top conferences and journals.

• Collaborate cross-functionally with product, hardware, and software teams to translate research into impactful products.

• Support career development, performance management, and recruitment of top talent.

What we need to see:

• Advanced degree (PhD or Master’s) in Computer Science, Robotics, or a related field.

• 2 years of experience on technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.

• Strong hands-on programming skills in Python and C++; experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).

• Excellent communication, organizational, and interpersonal skills.

• Experience with large-scale model training on GPU clusters.

• Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.

• 5+ overall years of experience working on robotics technologies.

Ways to stand out from the crowd:

• Leadership in projects involving foundation models for robotics, includingVision-Language-Action(VLA) or Vision-Language Models (VLM).

• Experience with learning from human video demonstrations and human-object reconstruction.

• Expertise in humanoid loco-manipulation, encompassing whole-body control, dexterous and bimanual manipulation, and locomotion.

• Advanced knowledge in robot learning and reasoning, including imitation and reinforcement learning.

• Experience generating synthetic data for robotics applications.

As a Senior Technical Program Manager within our Silicon Solutions team, you will play a pivotal role in bridging the technical and management domains, driving the development and execution of critical programs. You will collaborate with development managers, engineers, and multi-functional teams across systems, software, operations, and marketing to ensure the flawless delivery of our silicon projects.

What you'll be doing:

• Program Leadership and Execution: Own the planning, development, and management of project schedules and deliverables. Ensure meticulous management of tasks, dependencies, and breakthroughs to achieve program objectives on schedule.

• Design and Scope Management: Actively participate in crucial design reviews. Efficiently handle scope changes to minimize impacts on project timelines and outcomes.

• Multi-functional Collaboration: Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on project achievements and go-to-market strategies.

• Risk Management: Proactively identify risks and dependencies, develop mitigation strategies, and advance issues to leadership as vital.

• Communication: Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making.

• Continuous Improvement: Leverage insights and standard processes from completed programs to drive continuous improvement in processes and outcomes for future projects.

• Continually improve processes, optimize workflow, and maintain the highest quality levels.

What we need to see:

• A Bachelor of Science degree in Applied Science or Engineering is required (or equivalent experience); a Master's degree is helpful.

• 10+ years of relevant experience, including at least 3 years in a technical program management role, ideally within multi-functional teams.

• Proven experience in SoC Bring Up, Validation, and Productization. A detailed understanding of datacenter and/or consumer electronics design, including critical interfaces.

• Ability to navigate system integration complexities at the convergence of Silicon, System, and Software.

• Proficient in leading rapid development cycles and embracing change, maintaining flexibility and composure in uncertain situations.

• Highly self-motivated and proactive, with the ability to engage in critical thinking and problem-solving.

• Outstanding communication and organizational skills, capable of effectively articulating sophisticated technical issues and solutions.

What you’ll be doing:

• You will first define the strategy and tactics for successfully executing graphics-based server product solutions (including AI/deep learning, high-performance computing, virtualization, and remote visualization), fromevaluation/proof-of-concept,todesign/development/qualification/validation,through customer acceptance and production datacenter deployment.

• Execute the plan you created by: identifying and assembling the core support team, formally kicking off the project with the customer, supporting the design-in effort by providing technical collateral/product samples/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring customer acceptance and production deployment.

• Post-production/deployment,you will provide sustaining technical support to the customer and act as a case manager to lead resolution of field quality issues/escalations.

• Translation of customer requirements into specific tasks and assignment of those tasks to relevant functional areas should come second nature to you. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role.

• Are you able to handle multiple customers and customer programs at a time, across worldwide geographies and time zones?

• Can you effectively organize and lead complex technicalengineering-to-engineering(hardware and software) discussions?

• Work closely with engineering, operations, quality, marketing, and sales teams to resolve technical and logistical issues.

What we need to see:

• 5+ years in a high-tech electronics or semiconductor industry with a focus on program/project management. BS/MS Engineering or Computer Science.

• Experience and therefore deep customer savvy born of running significant and complex server engagement programs, especially with strategic customers with large datacenter deployments.

• Strong technical savvy, including server development and datacenterqualification/deployment.

• Supreme leadership skills across broad and diverse functional teams.

• Graphics, AI/deep learning, high performance computing, and/or cloud datacenterdevelopment/deploymentexperience desirable.

• Validated history of 5+ years of Project/Program Management of server and software product solutions

• Strong technical background and experience working with customers in a clouddevelopment/deploymentand/or OEM environment.

• Experience leading global.

Ways to stand out from the crowd:

• Team player, loves to work in a team environment.

• Native Mandarin, Fluent English.

What you will be doing:

• Coordinate among requesting teams to plan test resources, track progress to ensure test resource availability

• Oversee test execution team, understand test requirements. Guide execution to provide quality test results.

• Lead the fleet efficiency across car, garage, people and execution. Drive it to the Speed of light. Own/ Raise and drive major gaps and failures through systemic improvements.

• Ensure that the driving quality of the fleet engineering remains optimized by making go/no-go decisions on major technical changes, defining the tests/frameworks required to guard against regressions, andidentifying/addressingregressions.

• Lead, manage, train, and/or provide guidance to other team members and contractors

• Scale out this iterative development process by developing more automation and leveraging from current operational teams/resources.

What we need to see:

• Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field

• 8+ overall years of experience in a similar or related role

• Practical experience working in Linux, using version control systems, and debugging

• Well-rounded knowledge of how an autonomous vehicle stack works, and practical experience dealing with the challenges in this area

• Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

• Background with autonomous vehicle and/or machine learning development

• Experience with data analysistools/languages

• Experience with start-ups and/or early-stage products

What you'll be doing:

• Lead and manage a high-performing team of software engineers and SRE engineers, guiding their professional growth and project execution while fostering a culture of innovation and excellence.

• Oversee factory automation initiatives that streamline the development, deployment, and management of inference microservices across distributed environments.

• Coordinate the development of infrastructure that ensures consistency, quality, and security for inference workload deployments at scale.

• Collaborate with cross-functional teams to integrate the infrastructure into CI/CD pipelines, enabling seamless and efficient microservices delivery.

• Build foundational distributed computing systems supporting the full lifecycle of inference microservices for NVIDIA's AI strategy.

• Establish and enforce standards for infrastructure and application deployment, eliminating manual, ad-hoc processes through automation.

• Work closely with security teams to ensure the platform's design and implementation are robust and secure, with a focus on authentication, authorization, and data protection.

• Drive recruitment and mentorship efforts to build and maintain a top-tier engineering team.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).

• 8+ overall years of software engineering experience with a focus on distributed systems, cloud infrastructure, or large-scale platform development.

• 3+ years of experience leading and managing high-performing engineering teams of software engineers and SRE engineers.

• Proven expertise with distributed computing technologies including Kubernetes, container orchestration, and experience with multi-cloud or hybrid-cloud environments.

• Strong understanding of microservices architecture** and experience building scalable, fault-tolerant distributed systems.

• Experience with factory automation andinfrastructure-as-codeprinciples, including Temporal and automated deployment pipelines.

• Excellent communication, leadership, and problem-solving skills with the ability to operate in a fast-paced, collaborative environment.

• Proven ability to work effectively in remote and cross-functional teams.

Ways to stand out from the crowd:

• Experience building platforms that support the full lifecycle of AI inference applications and microservices.

• Deep understanding of inference workloads and their unique infrastructure requirements for low-latency, high-throughput processing.

• Experience with NVIDIA hardware including GPUs, DPUs, and networking technologies for AI workloads.

• Background in AI/ML infrastructure and understanding of model serving, inference optimization, and GPU utilization.

• Experience in a large-scale, high-growth technology company with proven track record of delivering software products.

What you’ll be doing:

• Guide, mentor, and develop SOC analysts in China, encouraging a high‑performance, inclusive culture.

• Architect and continuously improve monitoring, detection, and response across on‑prem, hybrid, and multi‑cloud environments and protect GPU‑accelerated AI/ML pipelines.

• Run the team in Scrum: facilitate planning, stand‑ups, reviews, and retrospectives; maintain a transparent backlog ordered by risk reduction and customer value.

• Embed PIPL and other relevant Chinese cybersecurity regulations into day‑to‑day SOC processes, partnering with Legal and Compliance teams while supporting global collaboration where permissible.

• Define, track, and act on metrics (MTTD, MTTR, sprint velocity) and operate staffing/on‑call schedules that balance 24 × 7 coverage with follow‑the‑sun hand‑offs.

• Evaluate and integrate China‑compliant security tooling and automation, sharing threat intelligence and capabilities with the wider NVIDIA SOC as regulations allow.
  

What we need to see:

• Bachelor’s or higher degree (or equivalent experience), or a related field.

• 8+ overall years in cybersecurity, including 3 + years managing people and budgets within a SOC or incident‑response function.

• Deep technical expertise in at least one SOC‑relevant area—cloud security engineering, log analytics, detection engineering, malware analysis, or security automation.

• Hands‑on experience defending workloads in mainland‑China cloud platforms and securing Kubernetes, containers, or GPU‑based AI workloads.

• Proven success leading teams with Agile/Scrum practices, owning backlog prioritization and sprint metrics in an operational setting.

• Proficiency in Mandarin and English, with outstanding ability to convey sophisticated security concepts to engineers, executives, and Legal & Compliance partners.

• Expert knowledge of cybersecurity regulations within Chinese, with practical experience embedding these mandates into SOC operations and breach‑notification workflows.
  

Ways to stand out from the crowd:

• Calm, decisive leadership during high‑severity incidents—directing teams and containing threats under pressure.

• Track record of deploying security automation, orchestration, or analytics that measurably reduce false positives or response times.

• Experience crafting detections and response playbooks for AI/ML pipelines—protecting training data, models, and inference endpoints.

• Success integrating or migrating SIEM/EDR stacks in hybrid multi‑cloud environments within China, including native CSP log APIs.

• Recognized builder of team culture—cultivating psychological safety, championing continuous learning, and celebrating wins while holding standards high.

What you’ll be doing:

• Develop comprehensive operational plans and de-risking strategies to ensure flawless technical execution of technical training events.

• Provide expert, hands-on technical leadership during live training events, managing deployments and rapidly resolving emergent issues for an optimal user experience.

• Oversee the stability, scalability, and reliability of the DLI learning platform, implementing SRE principles and leading incident response for optimal performance and reliability.

• Lead cross-functional coordination, establish and enforce operational best practices, and drive continuous improvement initiatives to enhance platform services.

What we need to see:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience

• Over 5+ years of DevOps experience optimizing, deploying and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, including hands-on work with EKS, AKS, and GKE.

• Proficient in Python and Linux shell scripting for automation, application development, system administration, and problem resolution.

• Validated experience architecting, implementing, and managing cloud infrastructure using Terraform.

• Demonstrated ability as a meticulous problem-solver with strong analytical skills, capable of diagnosing and resolving complex technical challenges under pressure.

• Excellent communication, teamwork, and collaboration skills, with an ability to articulate technical concepts clearly to diverse audiences and lead technical responses during incidents.

Ways to stand out from the crowd:

• Proven experience designing and implementing event-driven architectures using pub/sub patterns with platforms like AWS SNS / SQS, Google Pub / Sub, or Azure Service Bus.

• Knowledge of generative AI architectures (LLMs, diffusion models) and concepts such as Retrieval Augmented Generation (RAG) and vector databases.

• Hands-on experience with the NVIDIA AI stack (NeMo, Triton Inference Server, TensorRT) for model development, serving, and optimization. Production experience with NVIDIA NIM is a strong plus.

• Experienced in building and running CI/CD pipelines (Jenkins, GitLab CI) and managed software development environments, applying SRE principles to automate, enhance reliability, and improve performance.

• Familiarity with Python-based Learning Management Systems (LMS) such as Open edX.