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We are seeking a dynamic and experienced Threat Hunter to lead proactive cybersecurity efforts by uncovering hidden threats across our environment. In this role, you will drive hypothesis-based hunting, perform deep analysis and validation of security telemetry, investigate suspicious network activity, and continuously improve threat detection and response. You will also assess CVE relevance and exploitability to prioritize real-world risk, and leverage threat intelligence feeds and enrichment pipelines to enhance hunting context, detection accuracy, and response effectiveness.

If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.


Responsibilities:
Apply data analytics to analyze security-related network data, uncover actionable threat intelligence, detect anomalies and malicious behavior, and automate findings into an enhanced detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Work closely with Product and Engineering to translate threat intelligence into product strategy, prioritized features, and defensive enhancements.
Monitor and analyze the latest vulnerabilities, CVEs, exploits, and threat actor TTPs, with a focus on techniques relevant to microsegmentation, identity security, lateral movement, and internal reconnaissance.
Integrate external threat feeds and intelligence sources into our product - including normalization, enrichment, classification, and validation of feed relevance.
Contribute to detection logic, threat models, and internal tooling that turn intelligence into prevention and protection.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.

own the responsibility for delivering networking features and their verification aspects.
define, develop and maintain verification infrastructure and regression tests suites - make TEST suites robust, maintainable and easy portable.
work with continuous integration system, regression tools, automate builds, run TEST suites and analyzing results.
innovate!

physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
be exposed and work on a variety of challenging designs (including high cell count and hs blocks). resolving complex timing and congestion problems.
daily work involves all aspects of physical design chip development (rtl2gds) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
taking part in flows development.

we are seeking a networking software engineer to join our rdma transport software team, driving the development of next-generation rdma solutions for ai, cloud, hpc, and Storage. you will research and develop innovative transport algorithms that push the limits of performance and scalability. you will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises 
what you'll be doing:
take part in research, design, and development of advanced rdma transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io We’re looking for an R&D Backend Team Lead to join our growing R&D department. As the Content Discovery Team Lead , you’ll lead a high-profile team working on one of Artlist’s most strategic products. Your team will own core backend services powering Search, Recommendations, and Discovery experiences, working closely with our AI team to turn models and data into scalable, production-grade solutions. You’ll guide a group of talented professionals backend engineers, foster a culture of creativity, technical excellence and ownership, and play a key role in shaping how content is surfaced across the our platform. Wake up for this
* Lead the Content Discovery Backend team, responsible for Search, Recommendation, and discovery-related services at massive scale.
* Own and evolve backend systems that power highly visible, business-critical user experiences used by millions of creators worldwide.
* Design, build, and maintain scalable, high-performance distributed systems that serve low-latency, data-intensive workloads.
* Collaborate closely with the AI team to productionize machine-learning models and recommendation logic into robust backend services.
* Partner with product, data, frontend, and AI teams to deliver impactful, data-driven discovery features.
* Provide technical leadership, mentorship, and career growth for backend engineers.
* Drive architectural decisions around scalability, reliability, performance, and observability.
* Ensure high engineering standards, clean APIs, and long-term maintainability of core systems.
* Foster a culture of ownership, quality, speed, and continuous improvement.
* Continuously improve team velocity, delivery predictability, and operational excellence.

we are seeking a highly motivated senior architect for high speed optical systems to join our team of experts and help build the future of high-performance computing. our next-generation infiniband, nvl and ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used in vast industries. you will work on some of the most groundbreaking technology as an architect for high-speed optical networks at nvidia. you will help develop next-generation switches and optic engine. the products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers, and you'll be part of a team with a strong track record of success.
what you'll be doing:
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing rack-to-rack connectivity and fiber routing.
crafting and architecting advanced ultra-fast fiber optic connectivity solutions for nvidia systems.
leading the development and implementation of optic systems to ensure world-class performance and reliability.
analyzing and determining the best approaches for integrating complex optic systems within our infrastructure.
define the optics engine architecture with taking into consideration the system requirement and limitation influencing on the optical engine feature set and technology.
successfully implementing and managing projects to meet ambitious deadlines and performance targets.

we seek a versatile senior software engineer who is passionate about performance optimization and generative ai. our team builds software solutions that enable efficient inference on the latest and greatest generative ai models. we tackle problems on all levels of the stack-from server-level request batching to gpu Kernel fusion-and collaborate with teams across diverse disciplines to push nvidia's hardware to its full potential.
what youll be doing:
cooperate with research teams to onboard new llms and vlms into nvidia's opensource ai runtimes
optimize inference workloads using sophisticated profiling and simulation tools
build solid, extendable inference software systems, and refine robust apis
implement and debug low-level gpu code to harness the latest hw features
own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products