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We are looking for a highly skilled and motivated Software Team Lead to drive the technical direction of our development team while maintaining a substantial hands-on contribution. This role involves leading the team, hiring top talent, and ensuring the successful delivery of high-quality software solutions.
Responsibilities:
Technical Leadership: Guide the team in designing, developing, and maintaining robust cybersecurity solutions using Golang, C#, and Python.
Hands-On Development: Write high-quality, scalable, and secure code (50% of the time).
Team Management & Growth: Hire, mentor, and grow a team of talented engineers to build innovative cybersecurity products.
Code Reviews & Best Practices: Ensure high code quality through reviews, technical mentorship, and the enforcement of best practices.
Collaboration: Work closely with product managers, security researchers, and other stakeholders to define and deliver features.
Technical Roadmap: Contribute to architectural decisions and shape the future of the company's technology stack.

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams - your place is with us!

What Youll Be Doing:
Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services).
Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement.
Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs.
Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability.
Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management.
Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible.
Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response.
Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and application layers.

We are looking for an experienced Software QA Engineer to join us.
This position will be part of the sofrware QA team while the main goal is to test the physical layer area, which enables our products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will be responsible for developing and implementing automation solutions that will drive efficiency and productivity across our engineering efforts. Your work will directly contribute to the flawless execution of our projects and help us maintain its position as a world-class technology leader. You will also engage in creating tests for many industry-leading features and be able to learn new technologies, features, and develop automated tests.

What you'll be doing:

Reviewing arch design and requirements for new features introduced in the SoC software.

Collaborating with diverse teams to identify automation requirements and devise creative solutions.

Designing, developing, and implementing automation tests, frameworks, and tools to streamline engineering processes.

Assisting with issues reproduction and debugging to understand the root cause and reporting new bugs.

Maintaining and executing automated tests to ensure the quality and reliability of our products.

Resolving automation issues and optimizing operations for seamless functionality and minimal interruptions.

Providing technical guidance and mentoring to junior engineers to foster their growth and development.

We are looking for an excellent Software Director for the Switch management SW Group. You will join the NVIDIA switch Management team and take our product to next level, working closely with various SW teams and verification teams and gain deep understanding of NVIDIAs products and technologies. NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

What you'll be doing:

Be responsible for the integration of SW components to switch operating system.

Define, develop and design a process for integration and customer issues.

lead customer success activities, including feature development and customer engagement.

Work with a continuous integration system, regression tools.

Be responsible for NVIDIA NVL, IB Customer engagement with R&D.

Innovate! Bring NVIDIA's networking products to shine in customer's view.

We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs. This simulation platform enables our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.

What Youll Be Doing:

Develop and maintain simulation infrastructure components for different simulation teams (GPUs, switches, NVLink, Ethernet, PHY) of our high-performance networking chips.

Define, implement, and validate simulations of core infra features, improve performance, maintain multi processes and multi-threaded IPC mechanisms (sockets, queues etc.), define architecture and the building blocks of the simulation.

Own, extend and optimize all the CI/CD of the simulation team, starting from servers installation to adding and maintaining various Jenkins jobs that help developer and improve their life.

Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex behaviour in software.

Support internal users by debugging simulation flows and collaborating on bug resolution.

Take part in future-facing innovation by enabling simulation for next-generation devices and features.

Join a dynamic and innovative team driving the development of state-of-the-art EDA/CAD tools and scalable design automation infrastructure to empower advanced integrated circuit (IC) design. You will design, develop, and maintain next-generation design robust software tools and workflows across all domains in integrated circuit design, while ensuring compatibility with legacy software solutions.
Roles and responsibilities
Build, maintain, and optimize CAD tools supporting both commercial and in-house layout and verification tools (Cadence Virtuoso, Synopsys ICC, Mentor Calibre, etc.).
Develop and automate design flows spanning frontend RTL-to-GDSII, digital backend implementation, and physical/verification signoff, ensuring scalability and tapeout readiness.
Collaborate with layout, circuit, and verification teams to capture requirements and deploy efficient automation workflows.
Apply advanced software engineering and CAD methodologies to address technical challenges, evaluate architectural and hardware constraints, and deliver scalable automation solutions.
Design and implement testing frameworks, regression suites, code review practices, and CI/CD pipelines to validate CAD flows, ensure correctness, and improve reliability.
Define, document, and enforce best practices, standards, and procedures; provide technical guidance, training, and support to engineering teams.

Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:

Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation.

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

we are looking for a Senior Full-Stack Engineer.
What You'll Be Doing:
Design and develop a highly reliable, available, and scalable architecture for our core services in a new promising product
Take strong ownership over production systems, ensuring they run smoothly and reliably at all times
Deploy code to production on a daily basis using advanced CI/CD pipelines
Take technical ownership over complex, cross-domain problems and drive them from design through production
Play an active role in shaping the team roadmap and influencing product and technical direction
Collaborate closely with other engineering teams and product managers on cross-department initiatives

we are looking for a Senior DevOps Engineer.
As a DevOps Engineer, youll join a high-impact R&D team and own the infrastructure that powers real-time decisions. Youll tackle challenges of architecture, scale, and reliability by designing, building, and operating cloud-native systems, and by extending the tooling that enables fast, safe delivery at scale.
What You'll Be Doing:
Design, build and manage our development and production cloud-native infrastructure in AWS
Establish and evolve standards for microservices (IaC modules, Helm charts, policies)
Build and maintain our product release workflow and continuous integration/delivery systems
Continuously improve visibility into its systems and applications with advanced monitoring, metrics, and log analytics, analysis
Understand, implement, and automate security controls, governance processes, and compliance validation
Play a key role in product planning and execution
Develop internal tools that remove friction and boost developer productivity.
Continuously evaluate and introduce new technologies to improve performance, reliability, and developer velocity

we are seeking a strong Software Engineer to join our Dev-Ex group. Youll work with a team of passionate developers and DevOps engineers that drive the adoption of modern technologies across the company. The team builds internal portal and platforms, CI/CD pipelines, and AI-based that optimize and improve developer productivity at scale.
Key Responsibilities
Build scalable Dev-Ex services, and internal tooling.
Improve CI/CD, build performance, environment provisioning, and developer workflows.
Own systems end-to-end from design to deployment and monitoring.
Collaborate across DevOps, SRE, backend, and security teams.
Contribute to architecture decisions and engineering best practices.