- Extensive experience (typically 10+ years) in software engineering, with a significant focus on architecting and building large-scale, complex systems.
- Deep expertise in Artificial Intelligence and Machine Learning, with heavy, hands-on experience building autonomous agents, multi-agent orchestration systems, and integrating LLMs with external tools/APIs.
- Proven ability to define technical strategy, influence senior leadership, and drive execution across multiple teams in ambiguous and rapidly evolving domains.
- A strong track record of technical leadership, including designing and implementing novel agent-based solutions.
- Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
We prefer
- PhD in Computer Science or a related field, with a specialization in AI/ML or a related area.
- Experience with agentic frameworks, knowledge graphs, and reasoning engines.
- Familiarity with autonomous vehicle simulation, testing, or evaluation domains.
- Proficiency in C++ and experience with building production-grade services.
- Experience working with large-scale data processing and distributed systems.
- Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure.
Disclosure for WA Based & Remote Roles
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 (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year
US Remote Only: Please note that Waymo may not be able to employ remotely in all US locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.