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Your Impact

As a Principal AI Researcher, you will lead research on world models and learning-based approaches for autonomous networks.

Develop world models that learn the state and dynamics of large-scale network environments.

Build models that predict network behavior and the impact of configuration and operational changes.

Develop model-based reinforcement learning approaches for network optimization, troubleshooting, and remediation.

Build simulation environments for training and evaluating models and agents before they operate on production networks.

Explore new approaches to representation learning, planning, and sequential decision-making for network environments.

Develop methods to evaluate the reliability and safety of learned policies before deployment.

Work with networking experts and engineers to evaluate research on real network data and systems. Publish research at leading AI/ML conferences and contribute to open-source projects.

Minimum Qualifications

• Masters in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Autonomous Systems, or a related field, with 8+ years of relevant research experience, or equivalent demonstrated research impact.
• Research experience in one or more of world models, reinforcement learning, model-based RL, representation learning, planning, or sequential decision-making.
• 3+ years of hands-on experience building, training, and optimizing deep learning models using PyTorch, JAX, or comparable frameworks, including at least 2 models trained and evaluated at production or research scale.
• Demonstrated track record of research through publications at leading AI/ML conferences or equivalent research contributions.
• Ability to take a research problem from idea through experimentation and working prototype.

Preferred Qualifications

• Experience building world models, learned simulators, or model-based RL systems.
• Experience with offline or online reinforcement learning, simulation, or learning from large-scale trajectories.
• Experience with graph learning or modeling complex dynamic systems.
• Experience in networking, distributed systems, robotics, autonomous systems, or embodied AI.
• Experience applying research to real-world systems at scale.

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

The starting salary range posted for this position is $296,300.00 to $374,800.00 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:
$296,300.00 - $431,000.00

Non-Metro New York state & Washington state:
$263,700.00 - $383,500.00

* 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.