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as an Agentic Pentest Director. Leading the development of agentic AI-driven penetration testing capabilities, focused on enabling autonomous security validation across modern software applications and infrastructure.

What Youll Be Doing

Become a company leader in the new product pillars that fall under your scope
Build a high-performing core engineering group by hiring top talent and fostering a culture of excellence, ownership, and collaboration
Drive the planning, execution, and delivery of key projects that impact the foundation of our product
Collaborate closely with product, architecture, security, product marketing, and other engineering teams to align technical vision and execution
Mentor and develop engineers, providing guidance and support for their growth
Help us continuously improve by bringing strategic thinking, hands-on leadership, and an agile mindset

Were seeking a tech-savvy Product Manager to lead one of our cross-functional squads. In this role, you will drive the development and success of our product, shaping solutions that enhance efficiency and automation for IT teams worldwide.

As the Product Manager, you will own the product vision and roadmap, turning complex challenges into intuitive, impactful solutions. Youll collaborate with engineering, design, and business stakeholders to deliver innovative features that empower thousands of global customers and shape the future of AI-powered IT Service Management.



Responsibilities

Lead a cross-functional squad to own and deliver AI-driven product initiatives end-to-end, from discovery to launch and adoption.
Stay at the forefront of AI technology and trends, bringing innovative capabilities into product in a practical, customer-focused way.
Partner closely with Product Design to deliver best-in-class AI experiences that are intuitive, trustworthy, and drive adoption.
Define and prioritize product requirements by combining user feedback, market trends, data insights, and stakeholder input.
Drive data-driven decision making by defining success metrics and using product analytics to evaluate impact, adoption, and customer value.
Monitor and continuously improve AI performance over time, including quality, accuracy, latency, reliability, and user trust, ensuring consistent value at scale.
Collaborate with internal teams (engineering, analytics, customer revenue, and marketing) to ensure successful execution and alignment with business goals.

Our CTO group is looking for an outstanding physical-ai applied researcher to join our team.
the CTO group is a small, elite research unit shaping the next generation of algorithmic foundations behind our autonomous driving systems. the group operates at the core of the decision-making and planning stack, addressing some of the most challenging problems in real-world autonomy. we are seeking a researcher who thrives at the intersection of Machine Learning, decision-making, and algorithmic rigor - someone who is excited about advancing learning-based approaches for safety-critical, large-scale physical systems. in this role, you will develop novel approaches for planning and decision-making in interactive, multi-agent driving environments. you will combine deep & reinforcement learning with classical algorithmic structure and formal reasoning. the problems are open-ended, scientifically challenging, and deployed at unprecedented scale. this is a rare opportunity to conduct high-impact applied research, taking ideas from theory and papers into real-world autonomous systems at scale. if youre excited about pushing the boundaries of learning-based decision-making, wed love you to join us and help shape the future of physical ai.
what will your job look like:
design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
lead research directions from conception to full-scale production.
develop using Python (pytorch or similar frameworks) as well as C ++/gpu/cuda.

in this role, you will manage a team of ai/ ml engineers, lead the innovation and development the different solutions, and collaborate with cross-company teams. we are looking for an experienced, hard working manager who can collaborate effectively and has a deep technical capabilities in both ai/ml and software development.
what you'll be doing:
manage a team of 6-8 engineers
formalize the team work methodologies, collaboration, etc.
provide technical leadership, mentorship, and guidance to foster team growth.
supervise and build ai best in class solutions, including data ingestion, rag, mcps, agents, self service, and more.
be a part of an experienced team with a great atmosphere.
collaborate with cross-functional teams to identify and implement ai opportunities

we are seeking expert ai engineers who are passionate about advancing cybersecurity research to join our team. this is an opportunity to work on groundbreaking projects that involve ai to secure high-performance networking systems.
what you'll be doing:
research novel ai techniques to secure next-generation networks and apply them to existing nvidia products.
investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
collaborate with nvidia researchers to explore innovative ways to improve security in networking products.
contribute to projects that have potential real-world impact on nvidia's product portfolio.

We are seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration,