Назад
1 день назад

Software Engineer, Evaluation, Planner Vehicle Dynamics Senior Software Engineer, Planner Machine Learning Engineer, Prediction & Planning

204 000 - 259 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Evaluation, Planner Vehicle Dynamics Senior Software Engineer, Planner Machine Learning Engineer, Prediction & Planning (Autonomous Driving/ML): Designing and deploying algorithms to evaluate autonomous-driving behavior across weather and degraded conditions with an accent on safety, dynamic feasibility, reliability, and comfort. Focus on building ML-based evaluation systems, analyzing large datasets, and combining robotics with modern machine learning for motion-planning and vehicle-model challenges.

Location: Onsite in Mountain View, California; San Francisco, California; or Pittsburgh, Pennsylvania

Salary: $204,000–$259,000 USD base salary per year, plus eligibility for an annual bonus, equity incentive plan, and company benefits.

Company

Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service through the Waymo Driver.

What you will do

  • Design and deploy algorithms for evaluating autonomous-driving technology across cities, scenarios, weather, and degraded conditions.
  • Measure vehicle behavior for safety, dynamic feasibility, reliability, and passenger comfort.
  • Build, integrate, debug, and evaluate machine-learning-based systems.
  • Work on problems at the intersection of traditional robotics and modern machine learning.
  • Collaborate with a distributed team on noisy, uncertain, or incomplete inputs.

Requirements

  • BS, MS, PhD in Computer Science, Robotics, or a similar technical field, or equivalent practical experience.
  • Strong experience with Python for data analysis and SQL for working with large datasets.
  • Strong C++ programming skills focused on robust and efficient code.
  • Experience with software architecture.
  • Experience building, integrating, debugging, and evaluating ML-based systems.
  • Ability to work effectively on a distributed team.

Nice to have

  • Experience applying machine learning to vehicle models, motion planning, or related robotics problems.

Culture & Benefits

  • Work with a creative team developing autonomous-driving systems.
  • Contribute to technology designed to improve mobility access and reduce traffic-related fatalities.
  • Eligibility for a discretionary annual bonus program.
  • Equity incentive plan and company benefits program, subject to eligibility requirements.

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