Senior Software Engineer - Fleet Analytics (Remote)

Waymo LLC

Mountain View (CA)

Remote

USD 213,000 - 263,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
PTO 20 days/year
Sick time 40 hours/year
Maternity Leave 28-30 weeks
Baby Bonding Leave 18 weeks
13 paid holidays

Job summary

Waymo LLC is seeking a seasoned engineer to enhance Fleet Response efficiency across US operations. You will partner with cross-functional teams to analyze workloads, identify optimization opportunities, and sunset redundant processes, ensuring scalable performance.

The role emphasizes hands-on problem solving, exploring new analytics approaches, and collaborating with non-technical partners across engineering and operations.

Qualifications

  • Bachelor's degree in Computer Science or similar technical field.
  • 5+ years of industry experience navigating complex systems with distributed ownership.
  • Experience with C++ or related structured programming language.
  • Curious, investigative mindset with a bias towards action.
  • Strong ability to dive into new problems and codebases.
  • Experience working with non-technical cross-functional partners.

Responsibilities

  • Design and implement measures to increase efficiency and reduce cost of Fleet Response operations.
  • Partner with other Waymo teams to optimize their operational workload.
  • Generate and research ideas for new optimizations of operator tasks.
  • Collaborate with onboard engineering teams to sunset unnecessary work.
  • Contribute to cross-functional analysis and optimization efforts.
  • Improve regression-detection and culprit-finding for changes affecting metrics.

Skills

C++
Distributed systems
Cross-functional collaboration
Curious mindset
Codebase analysis

Education

Bachelor's degree in Computer Science

Job description

Waymo LLC is seeking a seasoned engineer to enhance Fleet Response efficiency across US operations. You will partner with cross-functional teams to analyze workloads, identify optimization opportunities, and sunset redundant processes, ensuring scalable performance.

The role emphasizes hands-on problem solving, exploring new analytics approaches, and collaborating with non-technical partners across engineering and operations.

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