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We are growing at a fast pace and we are looking for a Support associate for a part time position (Student position).

In our Support team there is no typical day, and to be successful in the Support Associate role you will need to be self-motivated, creative and have excellent interpersonal and relationship-building skills to be able to support our customers and Partners.

What You'll Be Doing:

Customer Obsessed: At our company, our Support team knows that customer interactions serve a larger purpose than simply fixing problems; our mission is to provide customers with an out-of-this-world and memorable experience, every time.

Team Oriented: Work with a diverse team of fellow Support Associates and liaise with our other Operations and Product team members to communicate any problems, bugs, or other issues that may arise

Communication: Fluidly and fluently communicate with our customers and partners and adjust your tone to your audience

Personal Touch: Were not afraid to play up the playfulness in our interactions, so creativity is a must!

Attitude: Take ownership beyond the obvious

We're looking for a Senior Product Designer to lead complex product challenges from discovery to delivery, partnering closely with Product and Engineering to build exceptional enterprise experiences. This role is ideal for someone who combines deep UX expertise, strong product thinking, and modern AI-powered ways of building products.
We're building AI-first enterprise software used by thousands of IT teams worldwide. We're looking for a Senior Product Designer to lead complex product challenges from discovery to delivery, partnering closely with Product and Engineering to build exceptional enterprise experiences.
What You'll Do:
Own the end-to-end design quality within one or more product pods, small cross-functional teams of Product, Design, and Engineering focused on solving customer problems together.
Lead UX research, discovery, and problem framing.
Design complex workflows and user experiences from concept to production.
Drive excellence across UX research, interaction design, and overall user experience.
Work in AI-first, code-first product development workflows.
Partner closely with Product and Engineering to shape product direction and delivery.
Improve design processes, tools, and team workflows.

We're looking for a Design Technologist to join our Design team. This role sits at the intersection of Product Design, AI, and Product Development. You'll help shape complex product experiences while building workflows and ways of working that enable design and engineering to move faster together.
This is not a software engineering role. We're looking for a product designer with strong technical curiosity, a builder mindset, and a passion for improving how products are designed and built.
What you'll do:
Drive UX and product design for complex workflows and product areas
Partner closely with Product Managers and Engineers throughout the product development process
Help evolve our design system and design infrastructure
Work comfortably with code, component libraries, and engineering environments to bridge design and implementation
Explore, define, and scale AI-powered workflows across the design team
Evaluate new tools and approaches that improve collaboration between design and engineering
Help the team adopt more efficient, flexible, and modern ways of working.

We seek a proactive and relationship-driven Account Executive responsible for spearheading growth initiatives within our SMB client network. Your main duties will include identifying expansion opportunities, nurturing existing relationships, and leveraging these connections to broaden your network, driving account growth.
Key Responsibilities:
Cultivate relationships with existing Mid market clients and innovatively enhance expansion performance through creative strategies.
Create and deliver compelling product and service presentations to existing customers to drive growth.
Identify growth opportunities, engage with existing customers, deliver presentations, and drive closure on business opportunities.
Demonstrate proficiency in technical problem-solving and possess strong technical adaptability skills.
Follow up on marketing & CSM-generated leads to build the expansion sales pipeline.

We're looking for a software engineer who specializes in machine learning - someone whose core strength is writing excellent, production-grade code. You'll own the engineering quality of our ML systems: building, maintaining, and monitoring the services that run our models in production, and helping our data scientists ship code that's readable, maintainable, and built to last.

Responsibilities

Transition ML workloads from research to production - ensuring scalability, efficiency, and reliability.
Design, build, and maintain ML services, their infrastructure, and monitoring across their lifecycle.
Integrate ML into our production systems, working closely with the engineering and devops teams.
Own the data infrastructure and tooling our ML systems rely on, and shape unstructured data into a form ready for analysis.
Help data scientists write readable, maintainable code, and raise software engineering standards across the team.

Required AI Engineer & Architect
The Role:
As AI Architect in the ACoE, you are the technical backbone of our internal agentic transformation. You will design and build the reference architectures, standards, and shared infrastructure that enable hundreds of AI agents to run reliably, safely, and at scale - across R&D, Sales, Customer Revenue, HR, Finance, and Marketing.
This is a hands-on, highly visible role. You will split your time between deep technical work (designing agent orchestration patterns, building cross-company automations, evaluating platforms) and enabling others (code reviews, technical mentorship of citizen developers, setting standards). You will report directly to the ACoE Lead and work closely with the CTO, BI, and Platform teams.
Key Responsibilities
Architecture & Standards:
Define and maintain our reference architectures for agent orchestration, tool permissions, memory models, inter-agent communication, and data boundaries
Establish technical standards for agentic development - prompt engineering patterns, evaluation harnesses, testing frameworks, and shared agent templates
Drive tooling standardization across in partnership with the CTO and CFO, and lead the annual vendor/platform review
Build & Enable:
Develop and maintain selected cross-company agentic solutions and automation workflows
Build and maintain the shared infrastructure: monitoring integrations, KPI dashboards, the agent registry, and the ACoE knowledge base
Conduct technical reviews and code reviews for agents before production deployment
Serve as technical SME for citizen developers across all business units - unblocking, guiding, and reviewing their work
Governance Support:
Define and implement the pre-deployment evaluation harness and model card standards
Support the AI Governance Officer (initially the ACoE Lead) with technical input on risk classification, incident response, and rollback planning
Contribute to quarterly ethics audits for high-risk agents
Innovation:
Track the rapidly evolving agentic AI ecosystem and bring relevant insights and tools back
Co-author external technical content (whitepapers, conference presentations) to establish our technical thought leadership.

We are now seeking a highly motivated Infrastructure, Tools & AI Engineering Manager to join our Ethernet Switching group, working on SONiC Network OS. In this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and CI pipelines through regression, code coverage, and test efficiency. You will apply cutting-edge AI and LLM capabilities to transform how we analyze failures, generate test coverage, and accelerate product quality.

What youll be doing:

Lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities.

Design, build, and maintain scalable infrastructure for development, integration, and test environments supporting SONiC OS.

Architect and deliver LLM-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and test flakiness prediction.

Lead efforts to reduce regression runtime through parallelization, smart test selection, and dependency-aware scheduling.

Develop deep technical knowledge of SONiC Network OS internals, including its subsystem architecture, SAI/ASIC abstraction layer, and management plane.

We are looking for a Full-Chip verification & Integration Engineer to join our FullChip Switch Silicon team. As part of NVIDIAs Networking business unit, you will work alongside passionate and highly skilled engineers building the next generation of state-of-the-art switch silicon chips. This is a unique opportunity to grow in a technically rich environment and gain broad system-level exposure, and contribute to cutting-edge devices that deliver world-class bandwidth, throughput, and latency.

In this role, you will help integrate and validate complex full-chip flows at the system level, working across multiple engineering domains and learning how advanced silicon products come together from architecture to execution.

What you'll be doing:

Work in a Full Chip verification team that is responsible to integrate and verify our Switch products at system level.

Work closely with multiple teams within the organizations such as Architecture, u-arch, Firmware and all switch units and Ips.

Play a key role in validating the most complex end-to-end chip flows, gaining hands-on experience with system behavior, cross-block interactions, and real product-level scenarios.

Use modern AI-powered engineering tools and automation techniques as part of your day-to-day development and debug workflow.

Learn from experienced engineers in a collaborative environment that encourages technical growth, ownership, and continuous improvement.

We are looking for a Senior Brand Designer who can take a brand direction and make it tangible, at scale, at quality, across every channel. Someone who ships polished static and motion assets, and who cares as much about the system behind the work as the work itself. The gap between our brand ambition and what actually goes to market is a craft and consistency problem. That's the problem this role exists to solve.
The right person has an eye for detail that others don't. They get satisfaction from building things that are both beautiful and reusable. And they bring enough ownership to raise the visual bar without being asked.
About the role:
We compete in a market where every vendor looks and sounds the same. Standing out takes a brand that's visually distinctive, consistent across every touchpoint, and built to scale. That's the bar this role is built to meet.
You'll own the execution of our brand: static and motion assets across paid, organic, events, decks, and product marketing. You'll also own the design system that makes it all work: building it, maintaining it, and making sure it's the kind of system other teams actually use. AI is part of how you work, accelerating production without sacrificing craft.
You'll sit inside the marketing team and work closely with product marketing, demand gen, and brand. The briefs will range from paid social to event materials, from product launch visuals to brand system components. What stays constant is the expectation: every asset you ship must be on-brand, crafted, and built to last.
What you'll do:
Execute static brand assets across all channels: ads, social, decks, event materials, product marketing collateral.
Design and produce motion assets: social video, animated ads, brand motion, presentation animations.
Build and maintain the brand design system in Figma: components, tokens, guidelines, and documentation.
Ensure every asset that leaves the marketing team is on-brand and meets the visual standard you help set.
Work from briefs provided by PMM and brand, and consistently deliver work that's better than what was asked for.
Maintain high output quality under tight timelines. Pace and craft are not a trade-off here.
Collaborate with PMM, demand gen, and growth to understand the context behind each asset, not just the spec.
Operationalize AI to accelerate production without compromising the work.
Keep the design system current as the brand evolves: versioning, component updates, and usage documentation.
Flag inconsistencies before anyone else notices them.

The CPU team is a world-class, global organization united by a mission to push the boundaries of whats possible and shape the future of computing. We are looking for a talented, fast-learning and highly motivated Logic Design Engineer to join our team. As part of the core design team, youll take ownership of parts of the design and work closely with architecture, verification, and physical design teams, contributing to a fast-moving, technology-focused environment and helping shape future products.

What you'll be doing:

As part of the CPU core team, youll take ownership of a unit.

Contributing to the micro-architecture, writing RTL and documentation.

Working closely with verification and implementation teams to meet timing, area, performance, and power goals.

You will join the Platform Automation group, the central engine driving the next generation of security operations. Our team owns the foundational automation
layer of the Cortex Platform. We are responsible for the Automated Remediation capabilities that unify detection, investigation, and response across the entire Cortex suite, including XSIAM, XDR, and XSOAR, and Cortex Cloud.
As a Senior Software Engineer, you will be a high-impact technical contributor responsible for developing and scaling our automation ecosystems. This role requires an engineer who can translate emerging LLM capabilities into production-grade reliability. You will work on the technical foundations that enable autonomous security workflows, ensuring our platform is robust and compatible with the evolving Agentic AI landscape.
Your Impact
As a Senior Software Engineer, you will create simple solutions to complex problems and drive technical excellence.
End-to-End Ownership: Take full responsibility for features from inception to production, including negotiating requirements and scope with Product Managers and performing comprehensive QA/validation for your own deliverables.
Scalable Engineering Standards: Implement high-quality technical standards for the platforms automation ecosystem, utilizing advanced CI/CD governance and robust telemetry to track execution health.
Codebase Adaptability: Demonstrate the ability to quickly gain proficiency in unfamiliar, complex codebases and contribute high-quality code across different repositories and tech stacks.
AI Production Fluency: Architect end-to-end AI pipelines and design, tune, and orchestrate autonomous agentic models, keeping in mind limitations like atency, hallucinations, and determinism, seamlessly embedding advanced cognitive capabilities into scalable production systems.
Prototyping & Integration: Proactively take on new product areas, building prototypes and integrating new functionality into existing systems with minimal guidance.
Cross-Team Collaboration: Act as a technical bridge between diverse R&D teams to drive unified, complex initiatives.

Required Director of Product Marketing & Brand
Description
This is a senior marketing leadership role with real breadth. You'll own our market narrative, brand identity, and the full content engine behind it, leading a team of seven across product marketing, content, creative, design, communications, partner marketing, and field marketing.
The right person has lived at the intersection of PMM and brand long enough to have opinions about how they should work together. They lead by creating clarity. They think in systems. And they're genuinely curious about what AI means for how a marketing team operates, not as a trend to follow, but as infrastructure to build on purpose.
About the role:
You'll own how we show up in the market. That means the messaging that lands in a sales conversation, the brand identity on a campaign, the content that earns category authority over time, and the story that reaches analysts, press, and partners. All of it runs through you.
Your team covers a lot of ground: product marketing, content, creative, design, communications, partner marketing, and field marketing. That's a diverse set of disciplines, each with its own cadence and craft. The leadership challenge here isn't managing up; it's creating the conditions for seven specialists to pull in the same direction, at the same pace, without losing coherence.
You'll report to the CMO and sit at the table with Growth, Sales, and Product. You're expected to show up with a point of view on the message, on the market, on what we should be saying, and what we should stop saying.
The person we're looking for has probably led a repositioning. Has built a messaging framework that held up under pressure from Sales and Product. Has grown people who went on to lead their own functions. And is already thinking about how AI changes what a content team can produce, and what it takes to make that output trustworthy.
One thing worth knowing: this team owns the content infrastructure that feeds our AI-powered marketing engine. In a world where AI generates content at scale, the quality of the inputs determines the quality of everything downstream. That's not a technical problem; it's a leadership and editorial one. And it sits with you.
What you'll do:
Own our messaging framework, which is the single source of truth for how the company talks about what it does and why it matters.
Build and maintain persona-level, product-level, and industry-level positioning that holds up in the field, including in a sales conversation, an analyst briefing, a paid campaign, or a press interview.
Translate product releases, market shifts, and competitive moves into messaging updates that reach every function fast.
Own our brand identity: visual standards, tone of voice, brand book, asset templates, and 10x our creative output.
Own the communications and PR strategy, specifically how we show up in press, analyst relations, and industry conversations.
Activate these narratives across every channel, in collaboration with Growth, to drive pipeline and brand awareness.

We seek for team lead to join our Ethernet Switch SONiC Network OS. As a SONiC design team lead, you will have to work closely with our development and architecture teams responsible for SONiC Network OS and gain a deep understanding of our products and technologies.

What you'll be doing:

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

Participate in an international team of software engineers working on products for testing our products.

Manage, mentor, and guide a team of SONiC eth switch NOS.

Design and implement SONiC feature under linux environment upstream to SONiC open source project.

Promote a culture of innovation, quality, and accountability. Bring SONiC NOS to shine in customer's view.

Are you passionate about dissecting the intersection of Identity, SAAS, and Cloud infrastructure? We are looking for a visionary Security Researcher to join our team and redefine how organizations understand and mitigate risks across their SaaS and Cloud ecosystems. In this role, you will be investigating the fundamental ways services are utilized and how their configurations can be exploited by modern adversaries. You will bridge the gap between abstract SaaS & cloud architecture and real-world attack execution, transforming complex research into actionable guidance. If you thrive on deconstructing TTPs and building the blueprints for resilient service usage, this is your opportunity to lead the charge in a world-leading cybersecurity company.
Key Responsibilities
Lead ongoing investigations into the risks associated with SaaS, Identity and Cloud platforms, focusing on how these services are integrated within broader environments.
Analyze the functional 'how-to' of cloud services to identify inherent risks and develop robust strategies for secure implementation and usage.
Stay ahead of the curve by researching real-world attacker methodologies and translating these behaviors into practical mitigation strategies.
Design and execute high-fidelity attack simulations in lab settings to observe adversarial behavior firsthand, specifically focusing on identity-based and SaaS.
Create comprehensive research outcomes that guide customers on how to use services securely from the ground up.
Foster a culture of excellence within a diverse team of experts, sharing insights that influence the next generation of cloud and identity security products.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.