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Remote Rf Optimization Engineer Jobs in Huntington Station, NY

Splice

Sr Software Engineer II (Remote- US)

New York, NY · Remote

$134K - $176K/yr

Remote - US THE ROLE: As a Senior Software Engineer II on the Audio Core team, you'll work with ... Expert at software performance optimization * You've built software with JUCE or other plugin ...

Mark43

DevOps Engineer, DevEx

New York, NY · On-site +1

$57.75 - $79/hr

Designing and optimizing pipeline-as-code systems to improve build performance, reliability, and ... We are a remote-friendly company and support candidates working from approved states. Compensation ...

Mark43

DevOps Engineer, DevEx

New York, NY · Remote

$57.75 - $79/hr

Designing and optimizing pipeline-as-code systems to improve build performance, reliability, and ... We are a remote-friendly company and support candidates working from approved states. Compensation ...

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

This involves managing ETL/ELT processes, optimizing database systems for performance and ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

2Bridge Partners

Software Engineer

New York, NY · On-site +1

$100K - $150K/yr

However, they are open to remote work for someone with a depth of experience architecting and ... Extensive expertise in backend development, with a strong emphasis on database design, optimization ...

2Bridge Partners

Software Engineer

New York, NY · On-site +1

However, they are open to remote work for someone with a depth of experience architecting and ... Extensive expertise in backend development, with a strong emphasis on database design, optimization ...

Onco360

Telecommunications Engineer II

New Hyde Park, NY · On-site +1

$85K/yr

Lead the design, configuration, and optimization of voice infrastructure, including PBX, VoIP, SIP ... Engineer office and remote work telecom solutions that support a "work from anywhere" model through ...

ArcSpan

Software Engineer (Remote)

New York, NY · Remote

... revenue optimization platform supporting leading publishers and brands globally. As publishers ... The Engineer will work closely across ArcSpan's engineering, data science and product development ...

OXMAN

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Support the digital design of Nature-centric built environments through optimization, simulation ... Integration of geospatial datasets, GIS data, remote sensing data, and environmental models into ...

Mercor

PyTorch MLOps Engineer - AI Specialist

New York, NY · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Experience writing or optimizing custom GPU kernels using Triton or Pallas . * Demonstrable career ...

Clera

Senior Software Engineer, Platform

New York, NY · Remote

$200K - $350K/yr

... token optimization. * Agentic Data Engineering: Architect AI-centric ETL pipelines for data ... Candidates must be willing and able to work in-office full-time. Fully remote arrangements are not ...

Saransh Inc

EDI Data Engineer (Healthcare Domain)

New York, NY · Remote

$117K - $140K/yr

NYC, NY & Canada (Remote) Job Type: Contract Note: Need minimum 10+ years experience and recent ... This role focuses on data optimization, workflow automation, and ensuring reliable data operations ...

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All JobsRf Optimization Engineer JobsRemote Rf Optimization Engineer JobsRemote Rf Optimization Engineer Jobs in Huntington Station, NY

Remote Rf Optimization Engineer information

See Huntington Station, NY salary details

$39.3K

$125K

$194.4K

How much do remote rf optimization engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote rf optimization engineer in Huntington Station, NY is $125,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $147,700.00 per year, depending on experience, location, and employer.

What is a remote RF optimization engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

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

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by remote RF optimization engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What job categories do people searching Remote Rf Optimization Engineer jobs in Huntington Station, NY look for?

The top searched job categories for Remote Rf Optimization Engineer jobs in Huntington Station, NY are:

What cities near Huntington Station, NY are hiring for Remote Rf Optimization Engineer jobs?

Cities near Huntington Station, NY with the most Remote Rf Optimization Engineer job openings:

Remote Rf Optimization Engineer jobs near you
Infographic showing various Remote Rf Optimization Engineer job openings in Huntington Station, NY as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $125,008 per year, or $60.1 per hour.

Gauntlet - Quantitative Software Engineer

De Circle

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 hours ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.

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