Job Description

Minimum qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field and 2 years of experience in the job offered or in a Software Engineer-related occupation.
• Position requires 2 years of experience in the following:
  • Utilizing systems programming, high performance computing or distributed systems development;
  • Data structures and algorithms;
  • Python, C++, Java, TypeScript, Kotlin, Rust, Qiskit, Cirq, or JavaScript; and
  • In two of the following: Quantum algorithms, quantum error correction, low-level code optimization, high-performance computing (HPC), GPU programming, real-time computing (RTC), device driver development, embedded programming, kernel development, compiler development, concurrency, Quantum computing, Classical Coding Theory, Graph Algorithms, Linear Algebra, Statistics, Numerical Algorithms, or Generative AI.

• Utilizing systems programming, high performance computing or distributed systems development;
• Data structures and algorithms;
• Python, C++, Java, TypeScript, Kotlin, Rust, Qiskit, Cirq, or JavaScript; and
• In two of the following: Quantum algorithms, quantum error correction, low-level code optimization, high-performance computing (HPC), GPU programming, real-time computing (RTC), device driver development, embedded programming, kernel development, compiler development, concurrency, Quantum computing, Classical Coding Theory, Graph Algorithms, Linear Algebra, Statistics, Numerical Algorithms, or Generative AI.

About the job

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

The US base salary range for this full-time position is $147,000 - $211,000 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

Position reports to the Google Venice, CA office & may allow for a hybrid schedule as per Google policy.

The US base salary range for this full-time position is $147,000 - $211,000 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

Position reports to the Google Venice, CA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Write and test product or system development code and draft designs.
• Participate in and contribute to design reviews with peers or stakeholders to decide amongst available technologies.
• Identify technical problems with requirements and fix them, and address and triage commonly escalated issues. Contribute to data preparation, optimization, and/or performance enhancements.
• Work closely with other research groups on collaborative research efforts. Contribute to existing documentation or educational content, and cross-team collaboration.
• Consistently generate the ideas required to solve ambiguous problems. Collaborate with teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.