Software Engineer Kubernetes Engine AI Training

2 tygodni temu

Kraków, Lesser Poland Google Pełny etat
About the opportunity

Join Google's talented software engineers team and be part of creating cutting-edge technologies that revolutionizes how billions of users worldwide connect, discover, and engage with information. Our projects involve handling vast amounts of data and go beyond traditional web search. We are seeking innovative engineers with expertise in various domains such as information retrieval, distributed computing, system design, networking, security, AI, natural language processing, UI/UX design, and mobile development; and the list keeps expanding every day. As a software engineer at Google, you will tackle crucial projects that drive our business forward, with the chance to transition between different teams and initiatives as both you and our rapidly evolving business expand. Versatility, leadership skills, and eagerness to tackle new challenges across the entire tech stack are qualities we value as we strive to advance technology.

Your role
  • Design and implement solutions that enhance performance, scalability, and resource availability for complex GenAI training tasks.
  • Ensure the delivery of high-quality code following best software engineering practices.
  • Participate in Agile processes like Scrum.
  • Collaborate with diverse teams (product management, other engineering units, and the open-source community) to make strategic decisions that shape Kubernetes' evolution as a leading platform for AI/ML tasks.
Basic qualifications
  • BS degree in Computer Science, a related field, or equivalent practical experience.
  • Approximately 5 years of experience in data structures, algorithms, and software development in one or more programming languages.
  • Roughly 3 years of experience in testing, maintaining, or launching software products, and about 1 year of exposure to software design and architecture.
  • 2 years of experience in a technical leadership role for projects.
Preferred qualifications
  • Master's or PhD in Engineering, Computer Science, or a related technical field.
  • Hands-on experience in creating accessible technologies.
  • Engagement with open-source projects and community collaborations.
  • Expertise in leading, designing, and implementing large-scale distributed systems.
  • Familiarity with AI frameworks (such as Tensorflow, PyTorch, JAX), algorithms, and tools (like Kubeflow, MLflow).
  • Proven history of generating innovative ideas and implementing technology solutions at scale.

Employee benefits

  • Health and Wellness: Comprehensive medical, dental, and vision insurance for you and your family.
  • Financial Security: Competitive pay, regular bonuses, and equity opportunities.
  • Work-Life Balance: Generous paid time off, including vacation, bereavement, sick leave, parental leave, and holidays.
  • Family Support: Assistance for fertility and growing families, along with parental and bonding leave.
  • Personal Growth: Opportunities for educational reimbursement.
  • Additional Perks: Inspiring work environments for collaboration and recharge among your colleagues.

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