AI Security Research Engineer

$174K - $292K Research Triangle Park, NC, US Mid Level Research Engineer

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Skills & Technologies

ClaudePythonRagRust

About This Role

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The application window is expected to close on: 07/24/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Plans, leads, and shares applied security research that defines how AI is built and used securely across Cisco, spanning AI\-assisted development, AI features in products, and AI in internal operations.

Sets technical direction at the intersection of AI/ML security and hands\-on engineering: leads AI\-specific threat modeling, red\-team and evaluation strategy, and secure architecture patterns that make AI\-developed and AI\-assisted software at least as secure as traditionally developed software. Serves as a research and security strategy liaison to engineers, product managers, and partners across Cisco's Security and Trust Organization (S). Partners with teams in the systems and workflows they already use, and influences leadership decisions with evidence. The role enables teams rather than gating them: it defines what secure AI looks like, validates that Cisco meets it, and helps teams get there faster, including by using AI for security itself.

What You'll Do:

  • Leads strategic AI security initiatives and roadmaps with manageable\-to\-significant complexity (e.g., six\-month to one\-year plans) across the team's three pillars: securing AI\-assisted development, securing AI in products, and securing AI in how we run the business.
  • Influences product organizations and partners across S, setting the security bar while partners build and run.
  • Applies deep expertise in AI/ML security and research methods (adversarial machine learning, prompt injection, model extraction/inversion, membership inference, data poisoning, and excessive agency) while weighing ethical and responsible\-AI considerations.
  • Sets AI red\-team methodology and evaluation strategy; advances eval harnesses, LLM\-as\-a\-judge approaches, and ground\-truth/silver\-dataset generation so conformance and agent behavior are measured with evidence rather than described manually.
  • Owns secure AI architecture patterns and prohibited design patterns for AI\-native features (RAG, tool use, multi\-agent workflows, MCP (Model Context Protocol) integrations), including prompts, context, retrieval, model selection, and output handling.
  • Authors and shepherds AI security standards and security requirements; defines clear release criteria for AI systems.
  • Drives the model and data supply\-chain security strategy, including model provenance and data protection requirements such as classification, minimization, residency, and sensitive data handling.
  • Defines agent identity, human review, approval, and accountability controls so autonomous agents and AI\-assisted outcomes are authenticated, bounded, and accountable.
  • Owns reusable platform contributions and architecture (security tooling and agentic workflows) that scale enablement across engineering rather than blocking it.
  • Monitors and evaluates emerging AI technologies, attacker techniques, and adversarial research; develops hypotheses, designs experiments and prototypes, and turns discovery into shipped controls.
  • Synthesizes findings into triangulated insights and meta\-analyses that impact product and security decisions across multiple teams and AI initiatives.
  • Independently develops and delivers presentations; leads cross\-functional working sessions with diverse audiences and creates clear ownership models with partner teams.
  • Leads creation of research artifacts (threat research, patterns, proposals, patents) of scientific quality and rigor; shares in company and industry forums.
  • Serves as the AI security technical authority within the team; mentors peers and security champions across engineering through reusable patterns, training, and office hours.

Minimum Qualifications:

  • Bachelor's \+ 7 years of related experience, or Master's \+ 4 years of related experience, or PhD \+ 1 year of related experience.
  • Demonstrated depth in AI/ML security and hands\-on security engineering, with a track record of leading initiatives and influencing cross\-functional teams.
  • Proficiency in Python; ability to read and review code fluently across multiple languages.

Preferred Qualifications:

  • Proven leadership of AI red\-team engagements and evaluation programs; familiarity with Cisco AI Defense (Cisco's AI security solution) or an open\-source framework such as NVIDIA's Garak.
  • Deep command of LLM and agentic\-system security: prompt injection (direct and indirect), jailbreaking, insecure output handling, RAG hardening, tool\-call governance, and multi\-agent trust boundaries.
  • Experience authoring security standards or baselines and embedding them into a secure SDLC and CI/CD.
  • Authority with OWASP LLM/Agentic Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act, with the judgment to apply them proportionately by risk tier.
  • Experience shipping or integrating agentic and MCP (Model Context Protocol) systems and AI development tooling (Cursor, Claude Code, Copilot).
  • Experience with Go, Rust, or C/C\+\+ is a plus, with C/C\+\+ valuable for Cisco's embedded and networking products.
  • Recognized external contributions, such as published threat research, conference talks, open\-source security tooling, or patents.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $167,000\.00 to $211,400\.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation\*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job\-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long\-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non\-exempt employees
  • 1 paid day off for employee’s birthday, paid year\-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
  • Non\-exempt employees\*\* receive 16 days of paid vacation time per full calendar year, accrued at rate of 4\.92 hours per pay period for full\-time employees
  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Additional paid time away may be requested to deal with critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer

For non\-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance\-based incentive pay on top of their base salary, which is split between quota and non\-quota components, subject to the applicable Cisco plan. For quota\-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
  • 1\.5% of incentive target for each 1% of attainment between 50% and 75%;
  • 1% of incentive target for each 1% of attainment between 75% and 100%; and
  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non\-quota\-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$199,700\.00 \- $292,800\.00

Non\-Metro New York state\& Washington state:

$174,500\.00 \- $260,500\.00

  • For quota\-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

\*\* Employees in Illinois, whether exempt or non\-exempt, will participate in a unique time off program to meet local requirements.

Salary Context

This $174K-$292K range is above the 75th percentile for Research Engineer roles in our dataset (median: $188K across 44 roles with salary data).

View full Research Engineer salary data →

Role Details

Company Cisco
Title AI Security Research Engineer
Location Research Triangle Park, NC, US
Experience Mid Level
Salary $174K - $292K
Remote No

About This Role

Research Engineers bridge the gap between research and production. They implement papers, build experiment infrastructure, optimize training pipelines, and make research prototypes production-ready. They're the engineers who make research work at scale.

The role sits at a unique intersection. You need to understand the math well enough to implement novel architectures correctly, and you need the engineering chops to make them run efficiently on distributed systems. When a research scientist has a breakthrough idea, you're the person who turns it from a notebook prototype into a training pipeline that runs on 256 GPUs.

Across the 3,708 AI roles we're tracking, Research Engineer positions make up 2% of the market. At Cisco, this role fits into their broader AI and engineering organization.

Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.

What the Work Looks Like

A typical week involves: implementing a new attention mechanism from a recent paper, profiling and optimizing a training pipeline that's bottlenecked on data loading, building evaluation infrastructure for a new benchmark, debugging distributed training issues across a GPU cluster, and pair-programming with a research scientist on their latest experiment. The work is deeply technical.

Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.

Skills Required

Claude (13% of roles) Python (51% of roles) Rag (23% of roles) Rust (1% of roles)

Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.

Experience with large-scale training infrastructure (FSDP, DeepSpeed, Megatron), GPU programming (CUDA, Triton), and the internals of ML frameworks (PyTorch internals, custom autograd functions) is what makes candidates stand out. The best research engineers can debug issues that span the full stack from GPU memory management to numerical precision to algorithmic correctness.

Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.

Compensation Benchmarks

Research Engineer roles pay a median of $280,000 based on 147 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($233K) sits 17% below the category median. Disclosed range: $174K to $292K.

Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and AI Architect ($254,798). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.

Cisco AI Hiring

Cisco has 11 open AI roles right now. They're hiring across AI Software Engineer, Research Engineer, AI/ML Engineer. Positions span Research Triangle Park, NC, US, Milpitas, CA, US, San Francisco, CA, US. Compensation range: $200K - $505K.

Location Context

Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).

Career Path

Common paths into Research Engineer roles include Software Engineer, ML Engineer, Research Intern.

From here, career progression typically leads toward Senior Research Engineer, Research Scientist, ML Architect.

This is one of the best entry points into AI research without a PhD. Build a strong engineering portfolio with ML projects, contribute to open-source ML frameworks, and demonstrate that you can implement complex ideas correctly and efficiently. The transition to Research Scientist is possible with published first-author work, which some research engineer roles support.

What to Expect in Interviews

Technical screens test both engineering skill and research understanding. Expect coding rounds with performance-critical implementations (GPU optimization, efficient data loading). Be prepared to discuss papers relevant to the team's research area and explain how you'd implement key ideas. System design questions focus on training infrastructure: distributed training, experiment tracking, and compute resource management.

When evaluating opportunities: Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.

AI Hiring Overview

The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.

The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).

Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.

The AI Job Market Today

The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 147 roles with disclosed compensation, the median salary for Research Engineer positions is $280,000. Actual compensation varies by seniority, location, and company stage.
Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.
About 14% of the 3,708 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Cisco is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from Research Engineer positions include Senior Research Engineer, Research Scientist, ML Architect. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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