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Key Responsibilities
Required Qualifications
Advantages
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit

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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Senior Technical Research Auditor for Cortex Research, you will be honing and communicating high-quality, groundbreaking cybersecurity and threat intelligence research for Palo Alto Networks XDR & XSIAM Cortex Research Department. This is a highly technical role, and a strong research/technical background is a key qualification. Your goal is to work closely with Cortex researchers and the Unit 42 publishing team to ensure our research is clearly communicated in well-produced research articles and other written, recorded and visual materials. You will also engage in communication with external vendors and industry partners. Constant collaboration with various research groups, Corporate Communications, Legal, and Content Marketing teams is essential to help raise the profile of our research and improve our brand visibility.
Your Impact
Work with researchers to ensure high-quality, accurate, well-written pieces that are ready for publication through our Threat Research Center, social media and other properties.
Assist researchers with understanding how to translate complex technical research into clear storytelling that resonates with media and other non-technical audiences.
Review and fact-check the data and claims in our threat research publications.
Weigh in on technical research topics, such as: threat intelligence, malware analysis, reverse engineering, threat hunting, threat actor attribution, cloud and identity related attacks, endpoint security, and more.
Make necessary corrections and/or coordinate with other teams to identify who can resolve outstanding issues in a piece.
Maintain awareness of when additional notification and coordination is necessary in order to responsibly disclose our findings, including vulnerabilities.
Work with the publishing team in our ongoing effort to improve our guidelines, processes and scheduling.
Your Experience
Proven experience writing and/or reviewing cybersecurity research content, including topics, such as: malware, APT, vulnerabilities, incident response, penetration testing, cloud security, threat intelligence briefings.
Deep familiarity with cybersecurity-related technical terms, and common frameworks such as the MITRE ATT&CK framework and demonstrate a good understanding of attack lifecycles.
Familiarity with key concepts and terms in endpoint security, network security, identity and cloud security.
Able to understand highly technical cybersecurity content and improve how it is communicated to a broad audience.
Strong communicator with extraordinary writing, communication and editing skills.
Strong attention to detail.
Experience in online content production.
Proven ability to manage communications and meet deadlines across complex, global stakeholder groups, with experience working in a multicultural environment and coordinating across different time zones.
Native English speaker or English level equivalent to CEFR’s C2 level requirements.
Advantages
Proven experience or relevant certifications in any of the following disciplines: penetration testing, threat intelligence, threat hunting, incident response, malware analysis, SOC analysis, cloud security.
Experience in technical writing or editing in a research publication environment (academic, nonprofit or corporate).
Reasonable command of Python, SQL or other coding languages.
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit

Share
Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Senior Technical Research Auditor for Cortex Research, you will be honing and communicating high-quality, groundbreaking cybersecurity and threat intelligence research for Palo Alto Networks XDR & XSIAM Cortex Research Department. This is a highly technical role, and a strong research/technical background is a key qualification. Your goal is to work closely with Cortex researchers and the Unit 42 publishing team to ensure our research is clearly communicated in well-produced research articles and other written, recorded and visual materials. You will also engage in communication with external vendors and industry partners. Constant collaboration with various research groups, Corporate Communications, Legal, and Content Marketing teams is essential to help raise the profile of our research and improve our brand visibility.
Your Impact
Work with researchers to ensure high-quality, accurate, well-written pieces that are ready for publication through our Threat Research Center, social media and other properties.
Assist researchers with understanding how to translate complex technical research into clear storytelling that resonates with media and other non-technical audiences.
Review and fact-check the data and claims in our threat research publications.
Weigh in on technical research topics, such as: threat intelligence, malware analysis, reverse engineering, threat hunting, threat actor attribution, cloud and identity related attacks, endpoint security, and more.
Make necessary corrections and/or coordinate with other teams to identify who can resolve outstanding issues in a piece.
Maintain awareness of when additional notification and coordination is necessary in order to responsibly disclose our findings, including vulnerabilities.
Work with the publishing team in our ongoing effort to improve our guidelines, processes and scheduling.
Your Experience
Proven experience writing and/or reviewing cybersecurity research content, including topics, such as: malware, APT, vulnerabilities, incident response, penetration testing, cloud security, threat intelligence briefings.
Deep familiarity with cybersecurity-related technical terms, and common frameworks such as the MITRE ATT&CK framework and demonstrate a good understanding of attack lifecycles.
Familiarity with key concepts and terms in endpoint security, network security, identity and cloud security.
Able to understand highly technical cybersecurity content and improve how it is communicated to a broad audience.
Strong communicator with extraordinary writing, communication and editing skills.
Strong attention to detail.
Experience in online content production.
Proven ability to manage communications and meet deadlines across complex, global stakeholder groups, with experience working in a multicultural environment and coordinating across different time zones.
Native English speaker or English level equivalent to CEFR’s C2 level requirements.
Advantages
Proven experience or relevant certifications in any of the following disciplines: penetration testing, threat intelligence, threat hunting, incident response, malware analysis, SOC analysis, cloud security.
Experience in technical writing or editing in a research publication environment (academic, nonprofit or corporate).
Reasonable command of Python, SQL or other coding languages.
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit

Share
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
These jobs might be a good fit

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computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
Be Doing:
Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies.
Design, simulate, and validate new systems using novel, scalable network simulator NSX.
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.
Publish patents and present research at leading conferences.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
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What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).
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Responsibilities:
Requirements:
These jobs might be a good fit