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Contract Google Rf Engineer Jobs in Dallas, TX (NOW HIRING)

Newt Global

Google Cloud Platform Data Engineer

Dallas, TX · Hybrid

$113K - $136K/yr

Google Cloud Platform Cloud Data Engineer Irving, TX / Tampa, FL / Basking Ridge, NJ ( Hybrid Mode ) Long Term Contract W2 Contract / S Corp You'''''ll need to have: * Bachelor's degree or four or ...

CED Systems

Sr. Manager, Deployment

Dallas, TX · Remote

Collaborate closely with RF engineering teams to ensure network design integrity, coverage ... Negotiate contracts, monitor vendor performance, and enforce service-level agreements Budget ...

CED Systems

Sr. Manager, Deployment

Dallas, TX

Collaborate closely with RF engineering teams to ensure network design integrity, coverage ... Negotiate contracts, monitor vendor performance, and enforce service-level agreements Budget ...

SysMind Tech

Cloud DevOps Engineer

Richardson, TX · On-site

$47.50 - $65/hr

Contract We are seeking a highly skilled Cloud DevOps Engineer with strong expertise in Google Cloud Platform (GCP), Kubernetes, and Infrastructure as Code (IaC). The ideal candidate will support ...

Echo IT Solutions

AI/ML Platform Engineer

Plano, TX · On-site

Sub Contract Location: PLANO, Texas, United States, 75094 Experience - 8 + year We are seeking a ... Key Responsibilities • Strong hands on experience on MLOps and AIOps using Google stack • Good ...

Qorvo, Inc.

Staff MMIC Design Engineer

Richardson, TX · On-site

This will involve design and development of MMIC-based RF/Microwave products using advanced GaN and ... This position requires work on US Government contracts. Applicants must be a US Person (US citizen ...

Qorvo, Inc.

Staff MMIC Design Engineer

Richardson, TX · On-site

This will involve design and development of MMIC-based RF/Microwave products using advanced GaN and ... This position requires work on US Government contracts. Applicants must be a US Person (US citizen ...

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Showing results 1-20

All JobsContract Google Rf Engineer JobsContract Google Rf Engineer Jobs in Dallas, TX

Contract Google Rf Engineer information

See Dallas, TX salary details

$36.6K

$116.4K

$181K

How much do contract google rf engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for contract google rf engineer in Dallas, TX is $116,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Contract Google Rf Engineer vs Contract Wireless Network Engineer?

AspectContract Google Rf EngineerContract Wireless Network Engineer
CredentialsBachelor's in Electrical Engineering, RF or Wireless certificationsBachelor's in Telecommunications, RF certifications
Work EnvironmentTech company, R&D labs, product developmentTelecom providers, network deployment sites
Industry UsagePrimarily in tech and internet companiesTelecommunications and wireless service providers
Job FocusDesign and optimize RF systems for Google productsDeploy and maintain wireless networks

Contract Google Rf Engineers focus on designing and optimizing RF systems for Google's products, often working in R&D environments. In contrast, Contract Wireless Network Engineers typically deploy and maintain wireless networks for telecom providers. While both roles require RF expertise and certifications, their work settings and objectives differ significantly.

What cities near Dallas, TX are hiring for Contract Google Rf Engineer jobs? Cities near Dallas, TX with the most Contract Google Rf Engineer job openings:
Contract Google Rf Engineer jobs near you
Google Cloud ML Engineer- Vertex AI

Google Cloud ML Engineer- Vertex AI

AceStack LLC

Dallas, TX

$55.50 - $74/hr

Other

Posted 5 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI
Location: Dallas, TX (Onsite)
Contract & FTE Both
Must have: Vertex AI & CCAI Chat Virtual Agent Expert
Requirements:
• Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK).
• Hands-on experience in developing NLP and GenAI Models on Vertex AI
• Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.
Required Qualifications:
• 5-7 years in software development (4+ in NLP/NLU for chat).
• Good to have an understanding on other GCP services and cloud-native architectures
Preferred Qualifications:
• Master's/PhD in Computer Science, AI/ML, or related field
• Must have GCP Certification- Google Cloud Certified Professional Machine Learning Engineer
• Experience with GenAI frameworks (PaLM, Gemini)
• Integration with CRM, knowledge bases, and live agent systems
AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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