2

Remote Rf Optimization Engineer Jobs in San Francisco, CA

Electrical Engineering & RF/Circuit Design Expert Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ...

SEO Specialist

San Francisco, CA · On-site +1

$135K - $180K/yr

... developers and AI builders searching for what we do. As search itself changes and AI-driven ... San Francisco, CA or Remote (Americas, UTC-3 to UTC-10) Job Type: Full-Time Experience: 3+ years in ...

Space Systems Engineer

Redwood City, CA · On-site +1

$150K - $250K/yr

Shape and own interfaces across mechanical, electrical, RF, and data domains * Lead system design ... S. commercial remote sensing regulations (NOAA), FCC spectrum licensing processes, and export ...

next page

Showing results 1-20

Remote Rf Optimization Engineer information

See San Francisco, CA salary details

$43.6K

$138.6K

$215.6K

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

As of Aug 2, 2026, the average yearly pay for remote rf optimization engineer in San Francisco, CA is $138,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $163,800.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Rf Optimization Engineer jobs in San Francisco, CA? For Remote Rf Optimization Engineer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in San Francisco, CA look for? The top searched job categories for Remote Rf Optimization Engineer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote Rf Optimization Engineer jobs? Cities near San Francisco, CA with the most Remote Rf Optimization Engineer job openings:
Infographic showing various Remote Rf Optimization Engineer job openings in San Francisco, CA as of July 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,648 per year, or $66.7 per hour.

Director of Optimization Engineering

Adapture Renewables

Oakland, CA • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Opportunity

Adapture Renewables, Inc. is on a mission to be a leader in this new era of sustainable energy. Drawing upon an extensive knowledge base, we develop, finance, engineer, build, own, and operate high quality utility-scale photovoltaic projects and battery energy storage projects. Our Engineering team is looking for a talented Director of Optimization Engineering to help support the efforts of our fast-growing company. Adapture Renewables is owned by KIRKBI - the private holding and investment company of the Kirk Kristiansen family founded to build a sustainable future for the LEGO brand through generations.

Overview

This position will work in our Engineering team and report to the Sr. Director of Engineering. The Director of Optimization Engineering owns the technical strategy for optimizing our hybrid and collocated utility-scale solar and battery energy storage (BESS) systems - driving energy production, capture, storage efficiency, and load-matching across Adapture Renewable's multi-GW development pipeline. This is a builder's seat: the role sets the optimization vision, defines success criteria, and grows a team of engineers to execute against it, partnering closely with Development, Interconnection & Transmission, Asset Management, and Power Marketing. The candidate will ideally be based in the San Francisco Bay Area (hybrid); remote considered for exceptional candidates.

Core Responsibilities

  • Own the engineering roadmap for hybrid solar-plus-storage optimization - from system sizing and configuration through dispatch strategy - and define the KPIs and initiatives that connect design choices to energy yield and financial return.
  • Govern PV performance modeling standards (PVSyst), including P50/P90 production estimates, degradation profiles, and loss/availability frameworks.
  • Model and optimize combined PV and BESS output to serve large-load customers such as data centers, through both front-of-meter and co-located behind-the-meter designs.
  • Set the engineering basis for battery dispatch and energy-arbitrage strategy using linear-programming methods, in coordination with Power Marketing.
  • Establish standards for solar/BESS sizing, EMS configuration, DC/AC ratios, ground coverage ratios, state-of-charge limits, and round-trip efficiency.
  • Ensure designs meet utility and interconnection requirements and SCADA/EMS protocols; partner with Interconnection & Transmission and IT on the underlying data path.
  • Direct root-cause analysis of operating-fleet underperformance (soiling, availability, equipment faults, clipping, degradation, capacity fade) and feed findings back into design and procurement.
  • Hire, develop, and lead the optimization engineering team, including the Manager of Optimization Engineering.
  • Deliver design and performance recommendations to Engineering leadership and, as needed, to ownership.

Qualifications and Experience

  • Bachelor's degree in electrical, mechanical, energy, or systems engineering, or an equivalent quantitative discipline; advanced degree a plus.
  • 8+ years in renewable energy, with hands-on experience designing and optimizing utility-scale solar and demonstrated BESS experience (sizing, dispatch optimization, degradation, or performance modeling).
  • 3+ years leading and developing technical teams, with a track record of setting vision and delivering results.
  • Deep fluency in PV performance modeling (PVSyst or equivalent), including P50/P90 yield estimation and loss/availability analysis.
  • Strong PV and BESS electrical engineering foundation: inverters and DC/AC conversion, EMS configuration, state-of-charge limits, and round-trip efficiency.
  • Working command of dispatch/arbitrage optimization (linear programming or comparable methods) and the data analytics behind battery control strategies.
  • Proven ability to translate models and data into prioritized, economically grounded recommendations for engineers, executives, and owners.
  • Preferred: Python (SciPy or similar solvers), MATLAB, and SQL; SCADA/EMS and OT data architecture experience; familiarity with BESS warranty and capacity-guarantee structures; working knowledge of interconnection and market context (PPA structures, curtailment, ancillary services); PE license a plus.
  • Ability to travel occasionally to project sites and the Bay Area office.

Benefits Package

  • 401(k) plan with company matching contribution
  • Competitive health, vision, and dental benefits
  • Attractive personal time off and company holiday package
  • Work-from-home policy
  • Salary commensurate with experience

Note

Qualified candidates only. No search firms. Adapture Renewables, Inc. is committed to equal employment opportunity.