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Before School Software Engineer Training Jobs (NOW HIRING)

YMCA

Before School Program Leader

San Francisco, CA · On-site

$20.25 - $22/hr

Position Summary The Before School Program Leader provides meaningful opportunities for youth in ... Training & Development * Complete required safety and program training before the first shift and ...

Flatiron School

Software Developer Trainee Program

$15/hr

About Flatiron School As a leader in the tech industry, Flatiron School believes that education is ... Complete Flatiron School's Software Engineering (full-time) and AI & Data Science (part-time) ...

Orvix Engineering

Software Engineer

Los Angeles, CA

... before release. * Continuously evaluate software performance, identify bottlenecks, and optimize ... training, and certifications. * Stay up-to-date with the latest developments in software ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We offer a full suite of IT solutions and services, from custom software development to staffing ... We are offering online training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for ...

Agap Technologies

Data Engineer Training

Mesa, AZ · On-site

We offer a full suite of IT solutions and services, from custom software development to staffing ... training on Data Engineer. . Provide OPT Stem Ext.: Guidance and support for applying for the 24 ...

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How much do before school software engineer training jobs pay per year?

As of Jun 10, 2026, the average yearly pay for before school software engineer training in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Software Engineer Training jobs? The most popular types of Software Engineer Training jobs are:
Before School Software Engineer Training jobs near you
Senior Software Engineer, Training Efficiency

Senior Software Engineer, Training Efficiency

Waymo

Mountain View, CA • On-site

$238K - $302K/yr

Full-time

Posted 14 hours ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving. You will improve the runtime efficiency of input data pipelines for large-scale training workloads. This is a unique opportunity to work on ML systems and improve on our model training processes.
You Will:
  • Design, and improve distributed input data pipelines for large-scale ML training workloads.
  • Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance.
  • Improve runtime goodput of ML training workload, including optimizing input data processing systems, ensuring scalability and reliability across distributed environments.
  • Implement and maintain advanced ML infrastructure tools, including ML Pathways, Grain, JAX, and TensorFlow.
  • Evaluate and integrate modern technologies to enhance the performance and scalability of ML systems.
  • Promote best practices for distributed systems architecture and contribute to technical leadership within the team.

You Have:
  • B.S. in Computer Science, Math, or 5+ years equivalent real-world experience.
  • Proficient in distributed systems design with an understanding of ML data pipeline optimization.
  • Experience with ML frameworks, including TensorFlow and JAX.
  • Hands-on experience libraries like Grain or tf.data service.
  • Solid programming skills in Python and C++.
  • Practical familiarity with profiling tools to uncover performance bottlenecks.

We Prefer:
  • MS in Computer Science, Math
  • Familiarity with distributed dataflow frameworks like ML Pathways

#LI-Hybrid
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.
Salary Range
$238,000-$302,000 USD

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