NVIDIA Corporation

Senior Security Engineer, Detection Engineering

NVIDIA Corporation$168K — $310K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in detection engineering or related fields
  • Degree in Computer Science, Cybersecurity, Engineering, or equivalent experience
  • Hands-on experience building and tuning detections in a SIEM or security platform
  • Strong scripting skills in SPL, KQL, SQL, Python, or similar
  • Practical understanding of attacker behavior across various platforms
  • Ability to translate raw logs into production-ready detections
  • Comfortable with Git, code review, CI/CD, and operational content ownership
  • Clear communication skills and sound judgment in detection relevance

Responsibilities

  • Build and tune high-confidence detections across multiple platforms
  • Translate incidents and findings into effective detection logic
  • Investigate telemetry thoroughly before triggering alerts
  • Drive the entire detection lifecycle from design to retirement
  • Strengthen detection-as-code workflows and quality assurance
  • Collaborate with responders to enhance context and reduce noise
  • Shape requirements for logging and telemetry usage

Benefits

  • Equity options
  • Comprehensive health benefits
  • Flexible working hours
  • Opportunities for professional development
  • Access to cutting-edge technology
Full Job Description
NVIDIA Security is seeking a Senior Detection Engineer to join the Detection and Automation Engineering team. On this team, we build reliable detection coverage that helps responders identify real threats quickly, reduce unnecessary noise, and protect NVIDIA's enterprise, cloud, developer, AI, and production environments. Do you enjoy turning sophisticated security signals into detections responders can trust? Can you read an incident write-up, a red-team result, or an unusual authentication pattern and decide what is worth alerting on? We want someone who can move from hypothesis to tested production content and explain the tradeoffs clearly.

We work closely with incident response, threat intelligence, security operations, cloud security, and engineering teams. We protect enterprise, cloud, identity, endpoint, collaboration, developer, AI, and production environments. We care about detections that are explainable, measured, maintainable, and useful during real investigations.

What You'll Be Doing:
  • Build and tune high-confidence detections across platforms such as Splunk, Microsoft Sentinel / Defender, CrowdStrike, cloud-native logs, identity telemetry, endpoint data, SaaS platforms, and developer systems.
  • Translate incidents, hunts, threat intelligence, red-team findings, and vulnerability context into detection logic we can test and operate.
  • Investigate real telemetry before we alert on it, including field behavior, timing, joins, baselines, and the false positives a responder will actually see.
  • Drive the full detection lifecycle: design, query development, validation, peer review, documentation, deployment, tuning, monitoring, and retirement.
  • Strengthen detection-as-code workflows, including test data, quality checks, metadata, rollout safety, coverage tracking, and detection health reporting.
  • Partner with responders to cut noise, add useful context, improve severity decisions, and build follow-up detections after investigations.
  • Shape logging, normalization, enrichment, and retention requirements when the telemetry we need is missing or hard to use.
  • Coach analysts and engineers through design reviews, query reviews, and clear guidance on what makes a detection credible.


What We Need to See:
  • 8+ years of experience in detection engineering, security engineering, threat hunting, incident response, SOC engineering, or information security monitoring.
  • A degree in Computer Science, Cybersecurity, Engineering, or equivalent experience
  • Hands-on experience building and tuning detections in a major SIEM or security analytics platform.
  • Strong query and scripting skills, especially SPL, KQL, SQL, Python, or similar languages used to analyze security telemetry and automate repetitive work.
  • Practical understanding of attacker behavior across identity, endpoint, cloud, network, email, collaboration tools, developer infrastructure, secrets, and data theft.
  • Ability to move from raw logs to a production-ready detection, including field semantics, thresholds, joins, baselines, false positives, missing data, and triage context.
  • Comfortable working with Git, code review, automated checks, CI/CD, documentation, and operational ownership of the content you ship.
  • Clear communication and sound judgment. You should be able to explain why a detection matters, what it misses, what we should do next, and when we should choose not to alert.


Ways to Stand Out From the Crowd:
  • You have led or materially improved a detection-as-code program across more than one security platform.
  • Background in cloud, identity, Kubernetes, CI/CD, supply-chain, or AI-tooling attack paths well enough to design detections without waiting for a complete recipe.
  • Detected abuse in developer systems, package ecosystems, secrets workflows, AI coding tools, agents, bots, or model-serving infrastructure.
  • Worked closely with incident response, threat hunting, red team, purple team, malware analysis, or forensics teams.
  • Built validation methods such as replay tests, synthetic telemetry, attack emulation, detection unit tests, or coverage reporting.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

Similar Jobs

More Jobs at NVIDIA Corporation

More Information Technology Jobs

Find similar Senior Security Engineer, Detection Engineering jobs: