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Full Time Google Tpu Jobs (NOW HIRING)

Experience with AI Hypercomputer, GPU, or TPU environments * Familiarity with Google Distributed ... Benefits Our comprehensive benefits package for full-time salaried employees is effective ...

Experience with AI Hypercomputer, GPU, or TPU environments * Familiarity with Google Distributed ... Benefits Our comprehensive benefits package for full-time salaried employees is effective ...

Experience with AI Hypercomputer, GPU, or TPU environments * Familiarity with Google Distributed ... Benefits Our comprehensive benefits package for full-time salaried employees is effective ...

Experience with AI Hypercomputer, GPU, or TPU environments * Familiarity with Google Distributed ... Benefits Our comprehensive benefits package for full-time salaried employees is effective ...

Experience with AI Hypercomputer, GPU, or TPU environments * Familiarity with Google Distributed ... Benefits Our comprehensive benefits package for full-time salaried employees is effective ...

Experience with AI Hypercomputer, GPU, or TPU environments * Familiarity with Google Distributed ... Benefits Our comprehensive benefits package for full-time salaried employees is effective ...

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Full Time Google Tpu information

Is Google still using TPU?

Yes, Google continues to use Tensor Processing Units (TPUs) for accelerating machine learning workloads across its services and cloud offerings. TPUs are an integral part of Google's AI infrastructure, and roles involving TPUs often require knowledge of hardware acceleration and TensorFlow frameworks.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, hardware, or machine learning, including roles like machine learning engineers or principal software engineers, can earn $500,000 or more annually, especially with experience, advanced skills, and working at large tech companies or in specialized environments. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires extensive expertise, leadership responsibilities, and a strong track record of impact.

What is the difference between Full Time Google Tpu vs Full Time Google Data Scientist?

AspectFull Time Google TpuFull Time Google Data Scientist
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; experience with machine learning hardwareBachelor's or higher in Data Science, Statistics, Computer Science; experience with data analysis and modeling
Work EnvironmentResearch and development teams focused on hardware acceleration and ML infrastructureData analysis, modeling, and insights generation across various projects
Employer & Industry UsagePrimarily in AI hardware and infrastructure teams at GoogleAcross multiple Google departments including AI, advertising, and cloud services

Full Time Google Tpu roles focus on developing and optimizing hardware for machine learning, requiring technical expertise in hardware and ML frameworks. In contrast, Full Time Google Data Scientist positions involve analyzing data, building models, and deriving insights, often requiring strong statistical and programming skills. Both roles are integral to Google's AI ecosystem but differ in their core responsibilities and skill sets.

What tech jobs pay $400,000 a year?

High-level roles such as senior software engineers, machine learning engineers, and technical executives in technology companies can earn $400,000 or more annually, especially with bonuses and stock options. These positions typically require advanced skills, extensive experience, and often involve leadership or specialized expertise in areas like AI, cloud computing, or data science.

Which 3 jobs will survive AI?

Full Time Google TPU roles related to AI hardware and infrastructure are likely to persist as they require specialized technical skills, deep understanding of machine learning models, and ongoing innovation. Jobs involving complex problem-solving, creative tasks, and human interaction, such as AI research, software engineering, and data science, are also expected to remain in demand despite AI advancements.
More about Full Time Google Tpu jobs
What cities are hiring for Full Time Google Tpu jobs? Cities with the most Full Time Google Tpu job openings:
What are the most commonly searched types of Google Tpu jobs? The most popular types of Google Tpu jobs are:
Infographic showing various Full Time Google Tpu job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Chief Technology Advisor - Global Service Provider

Chief Technology Advisor - Global Service Provider

World Wide Technology

Denver, CO • On-site

$175K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


World Wide Technology rating

7.8

Company rating: 7.8 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

88th of 230 rated it services


Job description

Technical Competencies
  • AI Infrastructure: Deep, current understanding of GPU and accelerator architectures (NVIDIA H100/H200/B200/GB200, AMD MI300, AWS Trainium, Google TPU), AI networking fabrics (InfiniBand, RoCE, NVLink/NVSwitch, Ethernet AI fabrics), parallel storage (Weka, VAST, Lustre, DDN), large-cluster training and inference design, and high-density power and liquid-cooling considerations.
  • Foundation Models & GenAI: Working knowledge of foundation-model pretraining and post-training, fine-tuning, RLHF, retrieval-augmented generation (RAG), agentic AI systems, evaluation tooling, and the trade-offs between proprietary, open-weight, and customer-trained models.
  • AI Inference & Serving: Familiarity with modern inference platforms and frameworks (vLLM, TensorRT-LLM, SGLang, Triton Inference Server) and the architectural trade-offs around latency, throughput, cost, and multi-tenancy at scale.
  • AI-Ready Architectures: Ability to design AI-ready architectures and integrate AI-driven solutions across the customer's estate to enhance decision-making, productivity, and operational efficiency.
  • Hybrid and Multi-Cloud AI: Comfort designing across owned, colocated, hyperscaler, and neocloud (CoreWeave, Lambda, Crusoe, Nebius) environments to balance AI performance, capacity, cost, sovereignty, and compliance.
  • AI Data & Platforms: Strong fluency in modern data architecture for AI - including data engineering and pipelines, lakehouses, vector databases, feature stores, and MLOps/LLMOps tooling.
  • Security & Governance: Advisory experience around the security posture that underpins AI, data, and digital initiatives - including model-weight protection, secure multi-tenancy, supply-chain integrity, responsible-AI guardrails, and the broader controls needed to keep customer environments resilient and compliant.
  • Service Provider and Cloud Provider Context: Solid grounding in the operational realities of Service Provider and Cloud Provider customers - including software-defined infrastructure, automation, and the unique demands these customers place on AI infrastructure and platforms.
  • Modern AI Engineering Practices: Familiar with MLOps/LLMOps, agile delivery, and continuous integration of AI models and pipelines.

Leadership & Business Competencies
  • Strong interpersonal, presentation, and negotiating skills.
  • Excellent communication, analytic, and problem-solving skills.
  • Executive communication: Equally comfortable presenting a technical architecture and a strategic business case to a board-level audience.
  • Sound business acumen and executive presence.
  • Proven track record of working with subject matter experts, consultants, professional services, IT, operations, and others over the technology lifecycle to maximize ROI/TCO.
  • Cross-functional leadership: Skilled at aligning internal teams (account executives, practice leaders, professional services, vendor partners) around a shared customer strategy.
  • Strong ability to think creatively and strategically.
  • Experience mediating and negotiating with individuals and groups internally and externally by keeping colleagues updated on activities and forecasting.
  • Proven collaborative approach; openly sharing information and receptive to the ideas of others.
  • Exceptional leadership and team-building skills with the ability to direct, motivate, and empower teams through a persuasive and credible thought process and presentation skills.
  • Foster a culture of continuous skill development and strategic alignment with business goals to address talent retention and skills gaps.
  • Focus on sustainability and green technology, incorporating energy-efficient practices in digital strategies.

Compensation & Benefits
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $175,000 to $225,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
  • Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
  • Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
  • Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!
If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.
If you have any questions or concerns about this posting, please email taposting@wwt.com
World Wide Technology is an Equal Opportunity Employer.
#LI-NO1
Why WWT?
World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.
Founded in 1990, WWT brings together strategy, deep technical expertise and world-class
partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.
With more than 14,000 team members and over 60 locations globally, WWT's culture-grounded in core values and leadership philosophies-has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.
WWT has an industry focus around Global Service Providers. The Global Service Provider (GSP) business represents a broad and evolving ecosystem that extends beyond traditional telecommunications. Today, it encompasses telecommunications providers, cable operators, media and entertainment organizations, sports and gaming platforms, and emerging neo-providers such as cloud and GPU-native platforms.
Collectively, these organizations power how the world connects, creates, and consumes digital experiences at scale. At their core, GSPs operate at a unique intersection of infrastructure, content delivery, and customer engagement, enabling end-to-end digital services across a highly interconnected global landscape.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What Will You Be Doing?
World Wide Technology is seeking a Chief Technical Advisor (CTA) to join our GSP Global CTO leadership team. The role will be responsible for all GSP AI Solutions and serve as the senior technical authority for sales engagements across Service Provider and Cloud Provider accounts. This is an industry and executive-facing, revenue-influencing role that operates at the intersection of deep technical expertise and business strategy.
The CTA for GSP AI Solutions also owns the GSP industry strategy, provides guidance across AI, digital, data, security, and broader technology initiatives - including AI strategy, foundation-model and GenAI adoption, AI-ready infrastructure, agentic AI, modern data platforms, cloud and digital transformation, and the security posture that underpins them - working closely with GSP's Global CTO organization and GSP's customer executive leadership to ensure their technology investments deliver long-term business outcomes, operational impact, and competitive advantage.
The Global Service Provider CTO team has industry AI Solutions experts that support the world's largest carriers, hyperscalers, and cloud-native providers - bringing AI strategy, AI-ready infrastructure, GenAI and agentic platforms, modern data, security, and broader digital transformation together under one team. The CTA plays a pivotal role in fostering relationships by working closely with our customers, key OEMs, hyperscale and neo-provider, AI providers, and silicon partners, as well as WWT's account teams and internal engineering, delivery and service organizations.
You will be the industry AI voice in the room when it matters most - representing Global Service Provider AI Solutions alongside WWT account executives, AI/Data practice leaders, and architects engaging with Chief AI Officers, CDAOs, CTOs, CIOs, and VP-level technology, AI, data, and infrastructure buyers at the largest carriers, hyperscalers, and cloud-native providers in the country. Your credibility is the differentiator, ultimately leading to the deployment of transformative AI, digital, data, security, and broader technology solutions in support of our customers' business strategies.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
Responsibilities:
  • Lead Executive/Sr. level meetings with customers to gain a detailed understanding of their technical and business needs.
  • Develop transformational GSP industry specific solutions and roadmaps across AI, digital, data, security, and broader technology initiatives that enable our customers to achieve best-in-class performance, reliability, security, and responsible-use posture, while adhering to industry-standard architectural principles.
  • Conduct architecture and technical workshops - including enablement sessions, strategy sessions, and Proof of Value engagements - working with WWT experts across AI, digital, data, security, and broader technology disciplines, including GPU and accelerator platforms, AI networking and storage, data platforms, GenAI and agentic AI, security and governance, and modern application development.
  • Demonstrate WWT's AI value proposition and differentiation effectively to technical and business audiences - including the AI Proving Ground, ATC AI labs, and WWT's end-to-end AI services portfolio.
  • Develop a thorough understanding of WWT's Advanced Technology Center (ATC), AI Proving Ground, and North American Integration Center (NAIC) - building effective working relationships with leaders in these areas to represent the full WWT AI value proposition to customers.
  • Work closely with the AI/Data practice, Management Consulting, implementation, and project teams to ensure smooth transitions from AI strategy and sales into delivery.
  • Participate in industry, product, sales, and procedural training as needed to maintain the knowledge and certifications necessary to be effective.
  • Provide accurate and timely management information such as activity reports, bid reviews, and project forecasts that adhere to WWT's quality and business processes.

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