Senior Software Engineer, GPU Performance
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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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
(statutory, where applicable); 5 days/event (discretionary)
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; New York, NY, USA; Seattle, WA, USA; Kirkland, WA, USA .
Minimum qualifications: Bachelor’s degree or equivalent practical
experience. 5 years of experience with software development in one
or more programming languages. 3 years of experience testing,
maintaining, or launching software products, and 1 year of
experience with software design and architecture. Experience with
modern GPU architectures (NVIDIA, AMD, or other AI accelerators),
memory hierarchies, and performance bottlenecks. Experience
low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and
performance engineering techniques. Experience with modern LLMs and
their deployment on AI accelerators. Preferred qualifications:
Master's degree or PhD in Computer Science or related technical
field. 5 years of experience with data structures and algorithms. 1
year of experience in a technical leadership role. Experience with
compiler optimization, code generation, and runtime systems for GPU
architectures (OpenXLA, MLIR, Triton, etc.). About the job Google's
software engineers develop the next-generation technologies that
change how billions of users connect, explore, and interact with
information and one another. Our products need to handle
information at massive scale, and extend well beyond web search.
We're looking for engineers who bring fresh ideas from all areas,
including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial
intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer,
you will work on a specific project critical to Google’s needs with
opportunities to switch teams and projects as you and our
fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take
on new problems across the full-stack as we continue to push
technology forward. While known for pioneering work with TPUs, GPUs
are an equally vital and rapidly expanding frontier within Google's
machine learning infrastructure. GPUs are indispensable to Google’s
ever-evolving landscape for strategic, pragmatic, and
performance-driven reasons — ensuring top performance for our ML
models, adapting to ML workloads, achieving results, and
influencing next-gen GPU architectures via strategic partnerships.
In recognition of hardware as a strength, Google’s Core ML
organization is heavily invested in growing a powerhouse team of
GPU experts, and we invite you to be at its vanguard! This is your
opportunity to move beyond incremental improvements and architect
truly transformative solutions, shaping the future of AI and
accelerated computing for Google and the world. The AI and
Infrastructure team is redefining what’s possible. We empower
Google customers with breakthrough capabilities and insights by
delivering AI and Infrastructure at unparalleled scale, efficiency,
reliability and velocity. Our customers include Googlers, Google
Cloud customers, and billions of Google users worldwide. We're the
driving channel behind Google's groundbreaking innovations,
empowering the development of our cutting-edge AI models,
delivering unparalleled computing power to global services, and
providing the essential platforms that enable developers to build
the future. From software to hardware our teams are shaping the
future of world-leading hyperscale computing, with key teams
working on the development of our TPUs, Vertex AI for Google Cloud,
Google Global Networking, Data Center operations, systems research,
and much more. 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 Build optimizations for the latest generation of
GPUs that power Google’s most critical products and services,
impacting billions of users worldwide. Address the most challenging
performance bottlenecks through Google’s unparalleled access to the
latest generation of GPUs, tooling, and a decade of experience
building AI accelerators. Drive optimizations across Google’s GPU
software stack from ML compiler cost model design to optimizing
high performance GPU kernels to cross node model serving
configurations. Influence the technical direction of the GPU
software ecosystem at Google by collaborating with ML, compiler
design, and systems architecture teams. Influence the deployment of
Google’s GPU fleet by working with various product teams across
Google.
Keywords: Google, Carmichael , Senior Software Engineer, GPU Performance, IT / Software / Systems , Sunnyvale, California
