--- title: Hardware/Software Co Design Engineer, Inference description: Google is hiring for the Hardware/Software Co Design Engineer, Inference role in Sunnyvale, CA. See the full description and apply. type: job url: https://www.foundrole.com/jobs/hardware-software-co-design-engineer-inference-at-google-01a1aac8-80db-7e9c-be82-5b9ad486b0ce date: 2026-11-15T01:26:44Z og_description: Join Google as Hardware/Software Co Design Engineer, Inference in Sunnyvale, CA. Pays $192K–$278K per year. og_image: https://www.foundrole.com/og/2hr2go.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) | | **Location** | Sunnyvale, CA | | **Salary** | $192K/yr - $278K/yr | | **Posted** | Nov 05, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Google. ## Pay for similar jobs Most similar jobs pay $213,000 – $270,000 a year (median $235,000). ## Description In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will act as a key technical anchor bridging the gap between model architecture innovation and next-generation hardware design. You will operate cross-functionally across AI research and engineering, help shape the architectural roadmap for future machine learning serving and training capabilities. You will drive the integration of Machine Learning (ML) research such as the training and serving of massive foundation models with advanced silicon architectures to deliver industry-leading, high-performance, and power-efficient accelerators.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 behind Google's groundbreaking innovations, empowering the development of 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/). - Drive the definition and optimization of the hardware/software stack to enable performant training and serving of large ML models. - Collaborate with research and modeling teams to innovate on model architectures, focusing on scaling, quality, and their direct impact on hardware performance. - Lead the development of configurable architectural simulators and cycle-accurate performance models to quantify microarchitectural optimizations and evaluate architectural decisions. - Conduct system-level performance analysis across highly distributed ML systems, innovating new methodologies to balance compute, memory bandwidth, and inter-chip network requirements. - Engage with partners across hardware design, compiler development, and ML research to transition architectural innovations from concept to production. ### Minimum qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - 10 years of experience in computer architecture, chip architecture, or hardware-software co-design. - Experience developing systems for performance modeling, simulation, or system analysis. ### Preferred qualifications: - Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. - Experience architecting hardware solutions or performance optimizations for ML training and inference. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Deep understanding of ML trends, business drivers, and the software ecosystem. - Ability to engage and collaborate with hardware designers, software architects, and ML researchers. - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - 10 years of experience in computer architecture, chip architecture, or hardware-software co-design. - Experience developing systems for performance modeling, simulation, or system analysis. ## Skills - Performance Modeling - Balance Sheet - Computer Architecture - Deep Learning - Performance Analysis - Performance Optimization - Co-Design - Simulations - Computer Engineering - Computer Science - Systems Analysis - Electrical Engineering - Machine Learning - TensorFlow ## Related - [More jobs at Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) - [Engineering jobs](https://www.foundrole.com/careers/engineering?utm_source=ai_markdown)- [Electrical Engineering jobs](https://www.foundrole.com/careers/engineering/electrical-engineering?utm_source=ai_markdown)- [Hardware Engineer jobs](https://www.foundrole.com/careers/engineering/electrical-engineering/hardware-engineer?utm_source=ai_markdown)- [Computer Architecture / Performance Engineer jobs](https://www.foundrole.com/careers/engineering/electrical-engineering/hardware-engineer/computer-architecture-performance-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 11788 jobs - [Sunnyvale, CA](https://www.foundrole.com/locations/us/california/sunnyvale?utm_source=ai_markdown) — 5882 jobs - [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) — 3839 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 11788 jobs - [Sunnyvale, CA](https://www.foundrole.com/locations/us/california/sunnyvale?utm_source=ai_markdown) — 5882 jobs - [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) — 3839 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)