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We are looking for a dedicated SoC Clocks Design Automation Engineer to join our Networking Silicon team. In this role, youll focus on developing and supporting clock-related design flows and methodologies for SoC and networking chips, ensuring efficient and high-quality design implementation. Youll also chip in to SoC top-level automation and integration activities, building on existing flow infrastructure to improve efficiency and consistency across projects. Introduction

What you'll be doing:

Develop and maintain design automation and methodologies for SoC and networking clock flows.

Collaborate with design, STA, and project teams to ensure timely and high-quality design closure.

Develop and improve SoC top-level automation scripts and flows built upon existing infrastructure and tools.

Support SoC integration and construction flow activities across multiple projects.

Assist in timing, power, and noise analysis to ensure efficient performance.

The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a top physical design engineer with a curiosity about SOC design optimization, physical integration, chip build and assembly and verification. You should have real passion for methodologies and clock distribution solutions that enable SOC creation in the most optimized way. In this position, you will get the opportunity to build complex networking chips and directly contact unit-level owners, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Designing and implementing SOC level clock requirements.

Daily work involves aspects of chip level design, including partitioning, CDC, trial synthesis, design quality checks.

Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, resolve design quality issues.

What you'll be doing:
Develop, model, and validate groundbreaking power and performance optimization techniques for network fabrics, components (NICs, Switches), and systems. Collaborate closely with cross-functional teams including silicon design, system architects, software/firmware engineers, performance analysts, thermal engineers, and AI researchers to ensure end-to-end power and performance optimization. You will determine strategies that successfully implement flawless performance and power efficiency in our ambitious projects!

We are now looking for a best-in-class Chip Design Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays semiconductor industry - our GPU Super-Chip.

What youll be doing:

Work in a DV (Design Verification) team that has a global responsibility over deliverable units and clusters to the silicon GPU.

Integrations and Full-Chip models.

Verification of chip blocks/entities according to specifications under challenging constraints.

Your daily work will involve all aspects of Design Verification : Planning, Coding, Coverage and Integration.

We are looking for a Host and Systems Performance Manager to join ur Networking Performance team!

In this role, you will lead a team of engineers who measure, analyze, and improve NIC, host, DOCA networking stack, and system-level performance across our networking products and platforms. We work across the full product lifecycle, from early architecture and pre-silicon modeling through post-silicon bring-up, validation, characterization, and GA readiness.

We are looking for someone who enjoys building teams, turning complex performance data into clear direction, and partnering across engineering groups to improve products that support AI, HPC, cloud, and accelerated networking workloads.

What Youll Be Doing:
Lead, coach, and develop a team focused on NIC, host, DOCA networking stack, and system-level performance. You will define performance test plans, methodologies, metrics, and success criteria for our new networking technologies.
Guide pre-silicon and post-silicon performance planning, analysis, reporting, and readiness reviews. Your team will benchmark and profile workloads across RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL, DOCA, storage, security, and host networking stacks.
Identify bottlenecks across NIC, DPU, CPU, memory, PCIe, firmware, drivers, Linux networking, DOCA, and full-system architecture. We will look to you to lead root-cause analysis, coordinate mitigation plans, and help hardware, firmware, software, architecture, validation, and product teams align on performance goals.

Were looking for a Technical Support Engineer to support customers through technical POCs, onboarding, and ongoing use of our autonomous security platform. Based in Israel and working closely with R&D and DevOps, youll provide real-time support to North American customers. This is a hands-on role for a cybersecurity technical expert comfortable troubleshooting and resolving issues directly with customer teams.

Responsibilites
Serve as the primary technical point of contact during customer POCs - supporting deployment, configuration, and troubleshooting so prospects see value fast.
Own technical onboarding for new clients, guiding them through setup, integrations, and initial configuration of the platform.
Provide ongoing technical support to live customers, diagnosing and resolving issues across the product and its integrations.
Run live technical calls with customers over Zoom, Meet, or Teams, and support them asynchronously via email, Slack, and our ticketing system.
Triage, reproduce, and document bugs and feature requests, and escalate to R&D and DevOps with the technical context they need to act quickly.
Work closely with Israel-based R&D and DevOps teams as the connective layer between customer environments and the engineering roadmap.
Build and maintain internal and customer-facing documentation, runbooks, and troubleshooting guides.
Track support activity and flag trends or recurring issues that point to product or process improvements.
Contribute to the development of our global support framework and team, while establishing operational procedures and evaluating technical tooling.

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.

We're looking for a Technical Customer Success Manager to own customer relationships and help customers maximize the value of our platform throughout their entire journey - from onboarding and adoption to renewal and expansion.
In this role, you'll combine deep technical expertise with outstanding customer-facing skills, acting as a trusted advisor to both security practitioners and executive stakeholders. You'll work closely with Product, Engineering, Sales, and Support to ensure customers successfully adopt our platform while driving long-term retention and growth.

Responsibilities
Own the end-to-end customer lifecycle, including onboarding, implementation, adoption, renewal, and expansion.
Build trusted relationships with customer stakeholders, from security engineers to executive leadership.
Guide customers in adopting and optimizing Cloud Runtime Security platform.
Lead technical onboarding sessions, product training, and best-practice workshops.
Act as the primary technical advisor for customers, helping them investigate issues, solve technical challenges, and achieve their security goals.
Proactively monitor customer health, identify risks, and drive successful renewals and expansion opportunities.
Collaborate closely with Product, Engineering, and Support to advocate for customer needs and improve the platform.
Manage technical escalations and coordinate internal resources to ensure timely resolution.
Develop Success Plans with customers, define measurable goals, and track progress over time.

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

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

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 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

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 are looking for a highly skilled and experienced software engineer to join our R&D department. As an engineer, you will be responsible for developing innovative, scalable, and high-quality features in our product. This role involves tackling complex technical challenges in a high-scale, performance-sensitive environment.

You will:

Design and implement engineering solutions, ensuring high-quality and scalable code.
Tackle complex technical challenges, identifying root causes, and delivering timely, effective solutions for customers requests and problems.
Collaborate closely with cross-functional teams.

we are looking for a Drone flight test team member to help test and improve our current and future products.

Responsibilities:

The role includes field test operations.
Performing software QA testing.
Preparation of test cases and execution.
Performing QA flight and integration tests for drone systems.
Documentation, investigation, and recording of test results to gather data and hand it over to the R&D team for further analysis.
Collaborate with the Product Development team to ensure consistent project execution