Staff Software Engineer, ML Systems Co-Design

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google’s software engineers develop the next-generation technologies that power billions of users. The MARC team focuses on open-source ML models to achieve TPU performance with internal models at launch, aligning with TPU roadmaps and compiler constraints.

This role requires leadership across hardware, compilers, AI research, and cloud AI systems. As part of Google's AI and Infrastructure teams, you will shape multi-year roadmaps, design high-performance software, and collaborate with

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.

Responsibilities

• Deliver certified performance ladders 6 months pre-pilot as the definitive goals for pricing, capacity planning, and XLA/kernel optimization.
• Adapt emerging open-source models into TPU-native paired variants (e.g., sparsity optimization) to prove asymmetric TPU superiority.
• Ingest and optimize multi-turn agentic workflows, reasoning loops, and prompt/decode disaggregated topologies ahead of silicon.
• Author high-signal reference implementations (PyTorch/JAX/Pallas) that guarantee reachability of pre-pilot goals under real-world compiler constraints.
• Partner with director and executive technical leadership across TPU Hardware, XLA Compiler, and Cloud AI Systems to steer multi-year roadmaps.

Skills

C++

Python

Software testing

Product launch

Performance analysis

Software architecture

Education

Bachelor's degree or equivalent practical experience

Tools

MLIR

XLA

HLO

JAX

PyTorch

PyTorch/XLA

CUDA

Triton

Pallas

Job description

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:

Sunnyvale, CA, USA; Kirkland, WA, USA; Mountain View, CA, USA

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:

• Deep 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).
• Demonstrated track record of 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).
• Proven L6-level ability to lead complex, multi-quarter technical initiatives across distinct organizational boundaries (e.g., hardware design, compilers, AI research, and cloud infrastructure).

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. 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.

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

Responsibilities

Learn more about benefits at Google.

• Deliver certified performance ladders 6 months pre-pilot as the definitive goals for pricing, capacity planning, and XLA/kernel optimization.
• Adapt emerging open-source models into TPU-native paired variants (e.g., sparsity optimization) to prove asymmetric TPU superiority.
• Ingest and optimize multi-turn agentic workflows, reasoning loops, and prompt/decode disaggregated topologies ahead of silicon.
• Author high-signal reference implementations (PyTorch/JAX/Pallas) that guarantee reachability of pre-pilot goals under real-world compiler constraints.
• Partner with director and executive technical leadership across TPU Hardware, XLA Compiler, and Cloud AI Systems to steer multi-year roadmaps.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.