Senior Security Engineer, AI/ML, National Security, Public Sector

Candidate must work 5 days per week on-site in Fort Meade, Maryland

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Washington D.C., DC, USA.

Remote location(s): Maryland, USA.

### Minimum qualifications:

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience.
• 5 years of experience in AI/ML development, AI infrastructure engineering, or software development.
• 5 years of experience with containerization (Docker) and orchestration (Kubernetes).
• 5 years of experience with Python and with libraries like PyTorch, TensorFlow, or Hugging Face Transformers.
• Ability to travel up to 25% of the time as needed.
• Must possess an active Top Secret/SCI security clearance with current polygraph.

### Preferred qualifications:

• 5 years of experience in AI/ML research or software development.
• Experience with LLM deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development.
• Knowledge of open worldwide application security project (OWASP) for LLMs or similar security frameworks.
• Familiarity with cl...