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Support creation of and review sequence of operations
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Senior Network Developer
Oracle
Nashville, TN
- $91,400 to $187,000 USD / year
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Added 5 mins ago
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Site Reliability Engineer 2
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Nashville, TN
- $69,800 to $148,300 USD / year
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Principal Network Developer
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Seattle, WA · Santa Clara, CA · Reston, VA · Austin, TX · Nashville, TN
- $102,300 to $209,500 USD / year
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Added 5 mins ago
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Senior Network Developer
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Reston, VA · Seattle, WA · Santa Clara, CA · Austin, TX · Nashville, TN
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Senior Network Developer
Oracle
Seattle, WA · Nashville, TN · Santa Clara, CA · Redwood City, CA · Reston, VA
- $91,400 to $187,000 USD / year
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Senior Network Developer - Network Region Build (NRB)
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Added 5 mins ago
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Senior Network Developer – Network Region Build (NRB)
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- $91,400 to $187,000 USD / year
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Added 5 mins ago
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Added 7 mins ago
Staff Software Engineer, ML Compiler Performance Engineer Co-Design
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Google

Staff Software Engineer, ML Compiler Performance Engineer Co-Design

Mountain View, CA, United States

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Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++ or Python.
5 years of experience testing, and launching software products.
5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
3 years of experience with software design and architecture.

Preferred qualifications:

Experience architecting, validating, or extending high-performance simulation tools, emulation frameworks, or analytical performance modeling pipelines (e.g., roofline models, cycle-accurate, or compiler-aware simulators).
Technical proficiency ML workload performance modeling on pre-silicon systems, familiarity with high level compiler intermediate representations (e.g., MLIR dialects, XLA, HLO), ML execution frameworks (JAX, PyTorch, PyTorch/XLA), or accelerator kernel programming (Pallas, Triton, CUDA).
Ability to lead complex, multi-quarter technical initiatives across distinct organizational boundaries (e.g., hardware design, compilers, AI research, and cloud infrastructure).

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The MARC (Model Architecture and Realizable-performance Co-design) team is Google’s proactive, ahead-of-silicon co-design engine. We operate at the critical intersection of frontier ML workloads and multi-year TPU silicon roadmaps. Given rapid 6-month model breakthroughs and complex Compound AI Systems, our mandate is to focus on the 12+ month time window between Hardware Architecture Freeze and Physical Silicon Pilot.

In this role, you will define and own the strategy for enabling open-source ML models to achieve TPU performance with internal models at launch. You will establish a principled, scalable methodology to analyze mapping gaps across open-source model families. 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 force 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Deliver certified performance benchmarks six months pre-pilot as primary targets for pricing, capacity planning, and kernel optimization.
Adapt emerging open-source models into TPU-native paired variants, including sparsity optimization, to demonstrate differentiated TPU performance.
Ingest and optimize multi-turn agentic workflows, reasoning loops, and prompt and decode topologies prior to silicon tape-out.
Author robust reference implementations using PyTorch, JAX, or Pallas that meet pre-pilot goals under compiler constraints.
Partner with director and executive technical leadership across TPU Hardware, XLA Compiler, and Cloud AI Systems to steer multi-year roadmaps.

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More about this job

Skills

ML
C++
Python
Data analysis
Debugging
PyTorch
Design hardware
Research
Distributed computing
Data storage
Natural language processing
UI design
Leadership
Open source model
Google Cloud

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