Mô tả công việc
Responsibilities
Optimize large-scale models for single- and multi-host inference.
Explore optimizations such as quantization and shardings.
Add features to process long contexts in large language models (LLMs).
Collaborate with the machine learning (ML) research, ML performance, model optimization tooling, and other optimization teams.
Maintain the open-sourced vLLM-based inference stack for Tensor Processing Units (TPUs).
Yêu cầu
info_outline
XIn 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: Sunnyvale, CA, USA; Kirkland, WA, USA.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience programming in Python or C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with large language model (LLM) concepts, algorithms, and experience designing NLP solutions.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, and debugging).
Preferred qualifications:
Experience with modern deep learning toolkits (e.g., JAX).
Experience developing and optimizing LLMs.
Experience working on GPUs or TPUs.
Experience with latency, memory, compute, and quality tradeoffs as they apply to ML model architectures.
Experience with low-level ML model optimization, new architectures, and tools.
Thông tin khác
About the job
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help
developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. In this role you will be a key engineer contributing towards feature development and performance optimizations for LLM inference on TPUs.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
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.
Thông tin chung
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 28/05/2026
