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What youll be doing:
Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.
Work on impactful projects involving state-of-the-art high-performance computing hardware and software.
Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.
Collaborate with our partners and customers.

As a Product Designer , you will play a key role in shaping the product vision and direction. You will work closely with cross-functional teams including product management, engineering, and marketing to create user-centered designs for our technical product.

What Youll Do:

Develop and iterate on wireframes, prototypes, and high-fidelity designs that effectively communicate design concepts to stakeholders and cross-functional teams
Conduct user research and usability testing to inform design decisions
Collaborate with product managers, engineers, and marketing teams to ensure designs meet business and user needs
Maintain design systems and guidelines that ensure consistency across the productCreate and
Stay up to date with design trends and emerging technologies to inform design decisions

We're looking to expand our team with a stellar Product Manager who lives and breathes B2D.

We're seeking for an experienced Product Manager to join our growing team, reporting directly to the VP Of Product.

As a Product Manager, you will play a pivotal role in driving the development and evolution of our next-generation observability solution.



What Youll Do:

Collaborate closely with the VP Of Product and cross-functional teams to define the product vision, strategy, and roadmap for next-generation observability solution.
Conduct thorough market research and competitor analysis to identify key trends, customer needs, and market opportunities.
Define and prioritize product requirements, user stories, and acceptance criteria based on customer feedback, market insights, and business objectives.
Actively engage with customers, internal stakeholders, and development teams to gather feedback, validate assumptions, and ensure alignment throughout the product development lifecycle.
Work closely with the engineering team to guide the product development process, ensuring timely delivery of high-quality features and functionality.
Collaborate with product designers to create intuitive and visually appealing user experiences that meet the needs of our target audience.
Develop and maintain a deep understanding of Kubernetes-based application architectures, DevOps practices, and observability technologies to effectively communicate the value proposition of solution.
Work to improve customer conversion and engagement in PLG funnel.
Monitor product performance and usage metrics, conduct data analysis, and use insights to inform product enhancements and optimizations.
Stay up-to-date with industry trends, emerging technologies, and best practices related to observability, cloud-native applications, and DevOps.

We're building a product for developers that will reinvent the way products look and feel in this domain. We're a strong team of engineers looking for an amazing experienced Frontend Developer to join our growing team. If you want to work on a product that you also use as a developer, then this is the place for you!

What Youll Do:

Our tech stack: Typescript and React
Work closely with talented engineers and designers to build the core product
continually improve out frontend application infrastructure
Build complex yet simple user flows and visual components that will make the product beautiful to use
Work on a products that serve developers like you that use on their day to day
Work with state-of-the-art cloud-native technologies that will challenge you constantly
Grow with the company to build a frontend group that can scale

We are looking for an experienced QA engineer to lead and drive the Quality of our cloud sensor - the industrys most efficient security tool for monitoring application-layer attacks in real time.

we are a fast-growing cybersecurity startup transforming how organizations protect their applications, cloud environments, and AI systems at runtime. Backed by top-tier investors including Greenfield Partners, Red Dot Capital Partners, Lightspeed, Ballistic Ventures, and TLV Partners, were on a mission to make real-time security a reality.

As our Sensor Quality Lead, youll own the quality of the Sensor - how we test it, and how we prove it works accurately and efficiently across the environments our customers run it in. There's no existing playbook for this role; you'll be the one writing it, tackling complex testing challenges in the Linux systems realm and building the automation that lets us ship with confidence.

In particular:

Design and build automated test frameworks and specialized harnesses for the Sensor
Build and maintain test environments across Kubernetes, Docker, and VMs, including test applications written in different languages, so a single build is validated everywhere it runs
Build the test infrastructure that measures accuracy, performance, and resource consumption under high scale
Define quality metrics for the Sensor, build the test infrastructure that measures them along with dashboards and visibility measures to surface them
Collaborate with the Sensor teams, Product Managers, research, and other R&D teams to deliver end-to-end quality

We are looking for a Distinguished Engineer to help shape the future of AI infrastructure. As part of our advanced development and research efforts, you will drive technical vision and innovation across the AI software stack, spanning GPU computing, RDMA, NVLink, storage, and large-scale distributed systems. You will research next-generation system designs, influence product and platform direction, and help define how massive-scale AI environments are built, optimized, and operated through hardware-software co-design.

What youll be doing:

Research, define, and drive co-design solutions across AI software stacks involving GPU computing, RDMA networking, NVLink interconnects, storage, and large-scale distributed infrastructure.

Lead deep technical investigations and proof-of-concept development in areas related to distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design.

Work closely with multiple teams across us to advance next-generation AI infrastructure technologies and influence cross-stack co-design decisions.

Analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and storage layers to improve performance, scalability, and efficiency.

Guide the design of environments that support massive-scale AI training and inference workloads in production.

We are hiring a Senior Software Engineer to join the NSV tools group. You will craft high-performing software automation systems used in NVIDIA's Data Center environments. This involves our AI cluster topology generation platform that composes, configures, and validates network infrastructure behind large-scale AI clusters. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, along with architects, network engineers, and developers. We support data growth for the worlds biggest companies. Our worldwide engineers work in a dynamic, meaningful, and fast-paced setting. Are you ready for the challenge?

What you'll be doing:

Build and develop a full-stack automation platform (Python microservices backend, modern web frontend) used to generate, configure, and validate network topologies for AI/HPC data centers.

Implement scalable, reliable, and maintainable services and APIs that turn complex infrastructure requirements into validated, exportable network configurations.

Build and refine intuitive web interfaces that guide users through an interactive, step-by-step topology development workflow.

Collaborate closely with internal and external collaborators to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the generation pipeline through architectural improvements and code optimizations.

Troubleshoot issues in distributed, containerized environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, which would be used to train the most advanced AI models such as GPT and DeepSeek. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

Research various of solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We're looking for a Senior Software Engineer, Infrastructure & Automation to join and play a key role in building the engineering infrastructure behind our AI-powered offensive security platform.

You'll design and build the infrastructure required to automatically validate and improve our platform and agents, including AI-powered agents for testing, evaluating, and automation of our systems that ensure our platform infrastructure and AI agents perform is reliable, repeatable, and effective at scale. Working closely with our AI Research, Security Research, and Engineering teams, among other things, you'll develop the infrastructure that enables rapid experimentation, deterministic validation, and continuous evaluation of autonomous AI attackers.

If you're excited about building developer platforms, testing infrastructure, and complex distributed systems in a fast-moving AI startup, we'd love to meet you.

Responsibilites
Design and build the testing and automation infrastructure that powers Tenzais platform and autonomous security agents. Define and shape the platform architecture for that goal.
Build deterministic and indeterministic validation tools for platform behavior and repeatable, data-driven evaluation for non-deterministic agent behavior.
Help develop continuous evaluation pipelines that measure performance, compare models and releases, detect regressions, and surface actionable results.
Build Python services and automation that orchestrate distributed test runs and manage their environments, inputs, and results.
Create internal tools and agents and CI/CD integrations that improve experimentation speed, developer productivity, and release confidence.
Partner with AI Research and Security Research to define evaluation methodologies, success criteria, and coverage.
Own systems end to end - from architecture and implementation through production reliability and continued evolution.
Contribute to technical design, architecture discussions, and code reviews across the engineering organization.

Were looking for a highly skilled Infrastructure Engineer to join our team and own the scaling, management, and automation of our platforms distributed environments. If youre excited about building high-scale distributed systems and solving deep DevOps and infrastructure challenges, lets talk.

What Youll Do:

Own and scale infrastructure - Design, build, and optimize the backbone of our observability platform, ensuring seamless deployment across hundreds of distributed environments.
Solve complex scalability challenges - Tackle unique problems in multi-cluster Kubernetes environments, multi-cloud setups, and high-ingestion observability pipelines.
Manage data at scale - Build and optimize configurable data pipelines, ensuring efficient ingestion, storage, and querying of large volumes of observability data with resilience, consistency, and analytical capabilities.
Automate everything - Develop infrastructure as code, improve CI/CD processes, and automate environment provisioning for reliability and efficiency.
Enhance system reliability - Design robust monitoring, alerting, and self-healing mechanisms for a high-scale production environment.
Collaborate cross-functionally - Work closely with backend engineers, product teams, and customers to design scalable, developer-friendly infrastructure.
Adopt and implement cutting-edge technologies - Continuously evaluate and introduce new tools and frameworks to improve scalability, performance, and cost efficiency.
Improve deployment efficiency - Optimize Helm charts, Kubernetes operators, and Terraform configurations to streamline environment creation and lifecycle management.

We are looking for a Software Engineer. You will work with highly experienced engineers to provide the world's outstanding SmartNIC products for cloud-computing, research, medical, automotive, finance, weather, telco, and more.
We also take significant part in the Linux-foundation DPDK (dpdk.org) project, and expand the NVIDIA-Mellanox PMD in particular, providing the framework and common API for fast packet processing in user space. Our goal is to enable breakthrough network performance, using NVIDIA SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.

What you'll be doing:

You will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.

Engage with customers and architects to understand the requirements and derive the software design accordingly.

Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW.

As a Senior Low-level Software in our Sensor team, you will design, implement, and optimize cutting-edge software that runs within our clients' environments and monitors their applications accurately and efficiently. Youll have the opportunity to tackle complex technological challenges, research new technologies and build innovative solutions in the Linux system realm. In particular:

Design, Plan and implement efficient and reusable code that drives complex applications
Research innovative solutions that set our Application Security approach apart
Optimize performance and resource consumption in challenging environments
Lead complex projects in close collaboration with Product Managers and other Software Engineers
Interface and collaborate with other R&D teams to deliver end-to-end solutions

we care deeply about performance, clarity, and building tools that feel right. Were a small team of engineers who enjoy solving hard backend problems and working close to the data. If you're into Go, value clean architecture, and love building for other developers - this might be a great fit.

What Youll Do

Build high-performance backend systems in Go
Work on real-time data pipelines and large-scale telemetry infrastructure
Tackle tough challenges in distributed systems, scale, and performance
Collaborate with infrastructure, frontend, and product teams to ship features end to end

Were looking for a Low-Level Developer to join the team - someone who loves working close to the kernel, cares deeply about performance, and wants their code measured in nanoseconds and bytes.

What You'll Do:

Design and build the in-cluster sensor that powers observability platform
Write low-overhead, high-performance instrumentation using eBPF and Go
Tackle hard problems in Linux internals, networking, and protocol parsing
Push the boundaries of what can be observed without modifying customer code
Ensure the sensor runs reliably across a huge variety of kernels, distros, and Kubernetes setups
Collaborate with backend, infrastructure, and product teams to ship features end to end

We are looking for driven, commercially minded professionals with native-level German, a proven track record in outbound sales development and the disposition to thrive in a high-growth, pre-revenue environment. This is an opportunity to contribute meaningfully to the architecture of a sales function - not to execute within one that already exists.

For candidates looking to accelerate their career in cybersecurity sales, offers a genuinely rare platform - early access to a high-calibre leadership team, direct exposure to enterprise-level deals and the kind of professional development that only comes from building something significant from the ground up.

Responsibilites
Own outbound prospecting into the DACH market - identifying, researching and engaging security leaders at target accounts
Managing Inbound lead flow and convert them into pipeline for sales team.
Meeting or exceeding SDR sourced Sales Accepted Opportunities (SAO) volume targets
Collaborating with teammates to develop targeted lists, call strategies, and messaging; developing opportunities using predictive tools.
Utilizing industry knowledge to research accounts, identify key players, generate interest, create compelling events, and develop accounts.
Working to have a variety of touches (call, email, social, etc) on leads in your territory to ensure KPI attainment.
Managing, tracking, reporting on all activities and results.
Attending and supporting in-person events, to drive on booth conversations and build strategic pipelines.