Google

Senior Software Engineer, GenAI GCP Security

Google$174K — $252K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • 5 years of programming experience in Python or C.
  • 3 years of experience with machine learning infrastructure, including deployment and evaluation.
  • 1 year of experience with Generative AI techniques and concepts.
  • 1 year of experience in software design and architecture related to machine learning.

Responsibilities

  • Write and test code for product or system development.
  • Collaborate through design and code reviews to ensure adherence to best practices.
  • Contribute to and update documentation and educational content based on feedback.
  • Debug and resolve product or system issues, analyzing their impact on operations.
  • Design and implement Generative AI solutions and evaluate different techniques.

Benefits

  • Health, dental, vision, life, and disability insurance available.
  • 401(k) retirement plan with company matching.
  • 20 days of vacation per year, increasing with tenure.
  • 40 hours of sick time per year, with additional time for Seattle.
  • Generous maternity leave policies and baby bonding leave.
Full Job Description
info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 5 years of experience programming in Python or C .
  • 3 years of experience with machine learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, or debugging).
  • 1 year of experience with Generative AI (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision).
  • 1 year of experience with software design, architecture, and machine learning.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, or a related technical field.
  • 5 years of experience developing cloud-based storage systems.
  • 5 years of experience with data structures and algorithms in a data ML-focused role.
  • 2 years of experience with security engineering, computer and network security.
  • Experience working on Google Cloud Platform (GCP).


The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities
  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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