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Wireless Engineer Remote Jobs in Austin, TX (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

You will be working with our engineering and product teams to design, build and productionize ... Willingness to work 4 day in-office, 1 day remote weekly schedule. * PhD or Master's in Computer ...

Senior Consultant - Telecom

Austin, TX · Remote

$115K - $155K/yr

This role is ideal for experienced professionals with deep expertise in wireless communications, 3G ... Remote, US-based * Location: Candidates may be located anywhere in the United States, subject to ...

US (Remote) Job ID: 48860 Do you thrive on building strong customer relationships and driving ... Collaborating with product management and engineering specialists as required. * Working with sales ...

Sr Apps Engr

Austin, TX · On-site +1

$103K - $142K/yr

Company Description We are seeking a Senior Applications Engineer to act as the primary technical ... Provide on-site and remote technical support to internal and external teams, conducting root-cause ...

... to a remote hire. Responsibilities * Partner with our VP of Technology, Operations, Logistics ... programming language. We don't care which one, though Python, TypeScript, Ruby, or Rust are all ...

Senior Engineer (Applied AI / ML)

Austin, TX · Remote

$107K - $146K/yr

Who we're seeking As a Senior Engineer, you enjoy solving problems and thrive in fast-paced ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Senior Engineer (Applied AI / ML)

Austin, TX · On-site +1

$103K - $142K/yr

Who we're seeking As a Senior Engineer, you enjoy solving problems and thrive in fast-paced ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

This position is part of the Service Organization located in Austin, TX and will be fully remote ... Biomedical Engineering experience / Biomedical Equipment Technician experience / Healthcare ...

... wireless data exchange, identification, collection, and management across a broad range of IoT ... management and engineering Working with sales and marketing leadership to plan and execute ...

AI Engineer - (B5)

Austin, TX · On-site +1

$172K - $236K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting ...

Senior Platform Engineer

Austin, TX · On-site +1

$170K - $190K/yr

Platform Engineering Reports to: Senior Director Type: Full-time About the Role We're building a next-generation Healthcare App Platform - a flexible foundation that enables rapid development of high ...

Senior Platform Engineer

Austin, TX · Remote

$103K - $142K/yr

Role Description We are seeking a Senior Platform Engineer to manage multiple critical enterprise applications, including but not limited to Netcracker, Alepo, and Axiros, on GCP. In this high-impact ...

Remote Customer Service Specialist

Austin, TX · On-site +1

$16.75 - $22.25/hr

Remote Customer Service Specialist Company: ForgeFit Location: Remote (U.S. Based) Employment Type: Full-Time About ForgeFit At ForgeFit, we supply premium fitness equipment to gyms, studios, and ...

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

Showing results 41-60

Wireless Engineer Remote information

See Austin, TX salary details

$72.4K

$128.4K

$246.8K

How much do wireless engineer remote jobs pay per year?

As of Aug 8, 2026, the average yearly pay for wireless engineer remote in Austin, TX is $128,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $133,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a wireless engineer remote, and why are they important?

To thrive as a Wireless Engineer (Remote), you need a solid background in wireless networking, RF engineering, and network design, usually supported by a relevant degree and industry certifications like CWNA or Cisco Wireless certifications. Familiarity with tools such as spectrum analyzers, network management systems, and wireless LAN controllers is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for success in this role. These competencies ensure reliable wireless network performance, efficient troubleshooting, and seamless collaboration with distributed teams.

What does a wireless engineer do when working remotely?

A Wireless Engineer working remotely is responsible for designing, implementing, and maintaining wireless communication networks such as Wi-Fi, cellular, or RF systems. Their tasks often include configuring network hardware, optimizing network performance, troubleshooting connectivity issues, and ensuring network security from a remote location. They use specialized software tools to monitor networks, conduct remote diagnostics, and collaborate with onsite teams to resolve technical problems. Remote wireless engineers also stay updated on new wireless technologies to recommend and implement upgrades. Strong communication skills and self-motivation are essential for coordinating with team members and clients remotely.

What is the difference between Wireless Engineer Remote vs Wireless Network Technician?

AspectWireless Engineer RemoteWireless Network Technician
CredentialsBachelor's in Engineering or related field, certifications like CWNA or CCNAAssociate's degree or technical certification, such as CompTIA Network+
Work EnvironmentRemote, often project-based, involving design and planningOn-site or fieldwork, troubleshooting, installation, and maintenance
Industry UsageTelecommunications, wireless service providers, enterprise networksWireless service providers, network installation companies, enterprise IT

Wireless Engineer Remote roles focus on designing and planning wireless networks remotely, requiring advanced certifications and engineering knowledge. Wireless Network Technicians typically perform on-site installation and troubleshooting, with more technical and hands-on responsibilities. Both roles are essential in the wireless industry but differ mainly in work environment and scope.

How does a wireless engineer collaborate with on-site teams and manage network issues without being physically present when working remotely?

As a remote Wireless Engineer, you’ll rely heavily on communication tools and remote access software to collaborate with on-site IT staff and troubleshoot network issues. Regular video meetings, shared documentation, and ticketing systems help ensure alignment with team goals and timely resolution of problems. You may also use remote monitoring tools to analyze network performance, diagnose faults, and guide on-site technicians through hardware adjustments. While you won’t be physically present, strong communication skills and familiarity with a variety of diagnostic platforms are essential for effective remote teamwork.
What are popular job titles related to Wireless Engineer Remote jobs in Austin, TX? For Wireless Engineer Remote jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Wireless Engineer Remote jobs in Austin, TX look for? The top searched job categories for Wireless Engineer Remote jobs in Austin, TX are:
What cities near Austin, TX are hiring for Wireless Engineer Remote jobs? Cities near Austin, TX with the most Wireless Engineer Remote job openings:
Infographic showing various Wireless Engineer Remote job openings in Austin, TX as of August 2026, with employment types broken down into 77% Full Time, 3% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,373 per year, or $61.7 per hour.

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site, Remote

$335K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments

Requirements

  • Willingness to work 4 day in-office, 1 day remote weekly schedule.
  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN

Benefits

  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.