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AI Security Engineer, Simulation & Adversarial Validation - Physical Team

Lenovo Tel Aviv, Tel-Aviv District, Israel

IT Services and IT Consulting · 10,001+ employees

6 h ago
security Senior (5-10 yrs) Full-time Israel
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About the role

You will investigate adversarial manipulation of AI-driven robotic systems and develop runtime defenses to detect and mitigate compromised inputs. The role involves implementing real-time controls and conducting adversarial testing to ensure the security and reliability of autonomous systems.

What they look for

C++ Python Linux ROS 2 Cybersecurity Adversarial machine learning PyTorch TensorRT CUDA Robot dynamics Feedback control MPC State estimation Reinforcement learning VLA/VLM models Policy shielding

Requirements

Candidates must have advanced proficiency in C++, Python, and ROS 2, along with hands-on experience in cybersecurity or adversarial machine learning for autonomous systems. A strong background in robot dynamics, reinforcement learning, and model evaluation is required, with a preference for advanced academic degrees.

Benefits

Disability Insurance Health Insurance Pension Fund Retirement Fund Study Fund Meal Allowance Employee Referral Bonus Employee Assistance Program 10% discount on Lenovo products Internal e-learning platform

Full description

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Join Lenovo’s Physical AI Security team to develop security technologies that protect how robots and autonomous systems perceive, decide, and act. You will investigate how attackers can manipulate AI-driven behavior and build runtime defenses that detect compromised inputs, constrain unauthorized actions, and support controlled recovery.

This role combines security research with robotics, controls, multimodal AI, predictive modeling, and reinforcement learning.

Candidate must be willing to work onsite three days a week in our Tel-Aviv, Israel office.

Job Responsibilities:

  • Investigate adversarial manipulation of VLA/VLM models, learned policies, and world models, including malicious instructions, manipulated observations, forged robot state, and compromised decision context.
  • Analyze attack surfaces and trust boundaries across perception, planning, control, and actuation. Reproduce attacks in simulation and controlled robot experiments to evaluate their impact.
  • Build learned dynamics and world models that evaluate proposed actions, anticipate harmful physical outcomes, and estimate whether intervention or recovery remains feasible.
  • Combine analytical dynamics, neural residual models, and state estimation to identify physically inconsistent observations, unexpected motion, and deviations from authorized behavior.
  • Implement deterministic, real-time C++ and ROS 2 controls that validate AI-generated commands, enforce action permissions and physical limits, and block or constrain commands that violate policy.
  • Apply model-based, offline, and constrained reinforcement learning to action evaluation, policy shielding, and recovery under manipulated observations or degraded operating conditions.
  • Use uncertainty calibration, distribution-shift detection, and adversarial testing to characterize detection coverage, false positives, bypass conditions, and intervention latency.
  • Collaborate with university laboratories and graduate researchers, supervise research projects, and contribute to publications in robotics, AI security, and Physical AI cybersecurity.

Minimum Requirements:

  • Advanced C++, Python, Linux, and ROS/ROS 2, with hands-on experience integrating AI and control software with physical robots.
  • Experience in cybersecurity, adversarial machine learning, or security research involving autonomous, embedded, or cyber-physical systems.
  • Ability to translate threat models into reproducible attacks, measurable security requirements, and practical defenses.
  • Strong PyTorch experience, including training and evaluating multimodal, transformer, diffusion-policy, or sequence models, with hands-on TensorRT/CUDA experience for inference optimization and deployment.
  • Strong knowledge of robot dynamics, feedback control, MPC, system identification, and state estimation, with an understanding of how corrupted inputs and timing disruptions affect control behavior.
  • Experience with VLA/VLM action representations, learned policies, world models, or imitation learning.
  • Experience with model-based, offline, or constrained reinforcement learning, policy shielding, or recovery estimation.
  • Strong understanding of uncertainty calibration, OOD detection, and model evaluation, including the limitations of using these methods to identify adversarial behavior.

Preferred Requirements:

  • M.Sc. or Ph.D. in a relevant field, with research experience in robotics, AI, controls, or cybersecurity, is strongly preferred.

What we offer:

  • Disability Insurance
  • Health Insurance
  • Pension Fund
  • Retirement Fund
  • Study Fund
  • Meal Allowance
  • Employee Referral Bonus
  • Employee Assistance Program
  • 10% discount on Lenovo products
  • Internal e-learning platform

Please note that the office is located at 121 Menachem Begin Road, Tel Aviv, 61st floor, in the POINT office complex. As per our office policy, you will be required to visit the site at least 3 times a week.

#DTL

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations:

* Israel

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.

General Information

Req #

WD00106661

Career area:

Research/Development

Country/Region:

Israel

State:

Tel Aviv District

City:

Tel Aviv-Yafo

Date:

Monday, October 12, 2026

Working time:

Full-time

Additional Locations:

* Israel

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