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Triage Engineer Jobs in California (NOW HIRING)

We are looking for Network Engineers at various levels: mid-career, senior, technical expert, and ... Provide triage oversight during shifts when a supervisor is unavailable, ensuring incidents are ...

Triage Automation Engineer

Sunnyvale, CA · On-site

$144K - $183K/yr

The role As a Triage Automation Engineer at Wayve , you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with ...

Triage Automation Engineer

Sunnyvale, CA · On-site +1

$144K - $183K/yr

The role As a Triage Automation Engineer at Wayve , you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with ...

You'll work in close coordination with our Eval, Teleop, Fleet Ops and Engineering teams to catch ... Support intake and triage across the fleet, applying a structured taxonomy to route issues to the ...

Showing results 21-40

Triage Engineer information

See California salary details

$13

$31

$51

How much do triage engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for triage engineer in California is $31.19, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $35.58 per hour, depending on experience, location, and employer.

What is a triage engineer?

A Triage Engineer is responsible for investigating, diagnosing, and prioritizing technical issues reported by customers or internal teams. They act as the first line of defense in identifying whether an issue is a bug, a configuration problem, or a known limitation. Triage Engineers collaborate with support, development, and QA teams to ensure critical issues are addressed efficiently. Their goal is to streamline the troubleshooting process and improve response times for resolving technical problems.

What are the key skills and qualifications needed to thrive as a triage engineer?

To thrive as a Triage Engineer, you need strong analytical abilities, deep technical troubleshooting skills, and experience in software engineering or IT support, often backed by a degree in computer science or related fields. Familiarity with ticketing systems, diagnostic tools, and industry certifications such as ITIL or CompTIA A+ is beneficial. Excellent communication, prioritization, and teamwork skills enable you to interact effectively with support teams and customers under pressure. These capabilities are crucial to swiftly identify, assess, and prioritize technical issues, ensuring minimal disruption and efficient problem resolution.

What are the typical challenges faced by triage engineers in their daily work?

Triage Engineers often handle a high volume of technical issues that vary in complexity and urgency, making prioritization a key challenge. They must quickly assess and diagnose problems based on limited information and sometimes incomplete data before routing them to the right teams for resolution. This role frequently involves collaborating with engineers, product teams, and customer support, requiring clear communication under pressure. Additionally, adapting to evolving technologies and processes is essential to stay effective. Despite these challenges, the position offers valuable exposure to a wide array of technical problems, which can accelerate professional growth.

What are the most commonly searched types of Triage Engineer jobs in California?

The most popular types of Triage Engineer jobs in California are:

What cities in California are hiring for Triage Engineer jobs?

Cities in California with the most Triage Engineer job openings:

Infographic showing various Triage Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $64,872 per year, or $31.2 per hour.

Staff Software Engineer, DUE Experience

Waymo

Mountain View, CA • On-site

Full-time

Re-posted 9 days ago


Job description

The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as  context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. 

You will:

  • Lead the architectural design and hands-on development of advanced Agentic AI systems, focusing on multi-agent orchestration, tool execution, and complex reasoning loops for event triage.
  • Engineer scalable agentic workflows using modern LLM orchestration frameworks to fully automate and augment triage capabilities for Engineering and SWQOps.
  • Design and deploy stateful agentic infrastructure, including long-term memory management (RAG, vector databases), semantic routing, and custom internal tool integrations.
  • Collaborate with cross-functional partner teams to embed autonomous agents directly into the Waymo Driver evaluation lifecycle.
  • Mentor engineers within DUE Experience on agentic development patterns, and prompt engineering
  • Tackle broad, ambiguous automation problems by breaking them down into actionable multi-agent projects and leading the technical execution of the roadmap.

You have:

  • Significant experience (typically 8+ years) in software engineering, with a focus on designing and building large-scale, complex distributed systems.
  • Deep expertise in applied LLMs and Agentic AI development, with a proven track record of building multi-agent systems, reasoning engines, and autonomous workflows.
  • Strong proficiency with agent orchestration frameworks and advanced prompt engineering.
  • Proven ability to execute technical strategy, influence partner teams, and drive end-to-end development of AI-native applications in ambiguous domains.
  • Excellent communication and collaboration skills, with the ability to align cross-functional stakeholders on agentic concepts and system limitations.
  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

We prefer:

  • Master's or PhD in Computer Science or a related field, with a specialization in AI/ML or a related area.
  • Experience developing custom tools/plugins for agents, semantic routers, and implementing complex multi-agent collaborative patterns.
  • Familiarity with autonomous vehicle simulation, testing, or evaluation domains.
  • Proficiency in C++ and Python, with experience building production-grade microservices and pipelines.
  • Experience working with large-scale data processing, knowledge graphs, and distributed systems.
  • Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure.