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From Home Ran Optimization Engineer Jobs in Arizona

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

MST FULL-TIME WORKING REMOTELY (from home): Yes REMOTE WORK COMMENTS: Must be available during ... The hire will be responsible for expanding and optimizing our data and data pipeline architecture ...

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

MST FULL-TIME WORKING REMOTELY (from home): Yes REMOTE WORK COMMENTS: Must be available during ... The hire will be responsible for expanding and optimizing our data and data pipeline architecture ...

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From Home Ran Optimization Engineer information

What are the key skills and qualifications needed to thrive as a From Home RAN Optimization Engineer, and why are they important?

To thrive as a From Home RAN Optimization Engineer, you need a solid background in wireless communication principles, radio access network (RAN) technologies, and a degree in telecommunications or a related field. Familiarity with tools such as TEMS, Atoll, Actix, and network management systems, as well as relevant certifications like CCNA or vendor-specific credentials, is highly beneficial. Strong analytical skills, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These competencies ensure optimal network performance, efficient troubleshooting, and seamless collaboration with distributed teams.

What are some common challenges faced by a From Home RAN Optimization Engineer, and how can they be addressed?

Working as a From Home RAN Optimization Engineer often involves challenges such as remote collaboration with field teams, troubleshooting network issues without on-site access, and managing time effectively across different projects. To address these, it's important to establish strong communication channels with colleagues, make use of remote access tools for network monitoring, and maintain a disciplined daily routine. Participating in regular virtual meetings and staying updated on the latest network optimization technologies can also help in overcoming these challenges.

What is a From Home Ran Optimization Engineer?

A From Home RAN Optimization Engineer is a telecommunications professional who works remotely to monitor, analyze, and improve the performance of Radio Access Networks (RAN). Their responsibilities include optimizing network coverage, capacity, and quality to ensure reliable mobile communication services. They use specialized tools to analyze network parameters, troubleshoot issues, and implement solutions to enhance user experience. By working from home, these engineers collaborate with team members and clients online, leveraging remote access to network systems and data.

What is the difference between From Home Ran Optimization Engineer vs From Home Radio Network Optimization Engineer?

AspectFrom Home Ran Optimization EngineerFrom Home Radio Network Optimization Engineer
CredentialsBachelor's in Telecommunications, Networking, or related field; certifications like Cisco CCNA or RF certificationsBachelor's in Electrical Engineering, Telecommunications, or related; similar RF and network certifications
Work EnvironmentRemote, primarily analyzing and optimizing LTE/5G RAN networksRemote, focusing on radio access network performance and coverage
Industry UsageTelecom companies, network service providersTelecom industry, network operators
Search & ComparisonOften compared with Radio Network Optimization Engineers due to similar roles

Both roles involve optimizing radio access networks, but the From Home Ran Optimization Engineer focuses more on LTE/5G RAN systems, while the Radio Network Optimization Engineer may include broader radio coverage and signal quality tasks. Both positions require similar technical credentials and are used within telecom companies for network performance enhancement.

What are the most commonly searched types of Ran Optimization Engineer jobs in Arizona? The most popular types of Ran Optimization Engineer jobs in Arizona are:
What are popular job titles related to From Home Ran Optimization Engineer jobs in Arizona? For From Home Ran Optimization Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching From Home Ran Optimization Engineer jobs in Arizona look for? The top searched job categories for From Home Ran Optimization Engineer jobs in Arizona are:
What cities in Arizona are hiring for From Home Ran Optimization Engineer jobs? Cities in Arizona with the most From Home Ran Optimization Engineer job openings:
From Home Ran Optimization Engineer jobs near you
Infographic showing various From Home Ran Optimization Engineer job openings in Arizona as of May 2026, with employment types broken down into 6% Internship, 19% Full Time, 24% Part Time, 5% Temporary, and 46% Contract. Highlights an 82% Physical, and 18% Remote job distribution.

Senior / Staff ML Training Optimization Engineer

Waabi

Phoenix, AZ • On-site, Remote

$141K - $249K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
- Identify and evaluate emerging technologies that can be adopted into Waabi's training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.
- Work with researchers and ML engineers on best-practices for optimal resource usage.
- Create and improve tooling and dashboards to ensure broad adoption of your work.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch or Jax.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.
- Experience with Kubernetes-based training platforms.
 
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi's yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve! 

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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