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Remote Principal Rf Engineer Jobs in Santa Clara, CA

YO AI Labs

GPU Programmer - Remote

San Jose, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM ...

General Motors

Principal AI/ML Engineer

Sunnyvale, CA · On-site +1

$296K - $423K/yr

You will lead a high-performing team of engineers buildingML-driven trajectory generationsystems ... Remote/Hybrid: Thisrole is based remotely but if you live within a 50-mile radius of Austin ...

Roblox

Software Engineer, Creator

San Mateo, CA · Remote

Our surfaces include Remote Configs (targeted, scheduled, and AI-assisted configuration), A/B ... principal engineers on the team. * Partner with PM, design, DSA/Discovery, and Data Platform to ...

Array Labs

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 ...

Array Labs

Space Systems Engineer

Redwood City, CA · On-site +1

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 ...

Infotech Sourcing

Design Engineer V

Sunnyvale, CA · On-site +1

US - Remote Job Title: Core Engineering - Design Engineer V PCB Layout Engineer, AR Product Team As ... and RF signals. Identify project execution risks or slowdowns proactively and collaborate with ...

RFMW

Field Sales Engineer

San Jose, CA · On-site +1

$145K - $185K/yr

RFMW is an electronic component distributor of RF and microwave products. This role is remote ... Comfortable calling on Engineering and Purchasing. * Strong Communication skills: Producing and ...

Cypress HCM

5G Algorithm Engineer

Redwood City, CA · On-site +1

Remote USA Employees : Industry : Wireless services Position Reporting To: Algorithm Engineering Lead Dynamic Bay Area startup is seeking a Principal Engineer to help lead the development of location ...

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Showing results 41-60

All JobsPrincipal Rf Engineer JobsRemote Principal Rf Engineer JobsRemote Principal Rf Engineer Jobs in Santa Clara, CA

Remote Principal Rf Engineer information

See Santa Clara, CA salary details

$86.9K

$172.9K

$249.6K

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

As of Sep 2, 2026, the average yearly pay for remote principal rf engineer in Santa Clara, CA is $172,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,200.00 and $203,200.00 per year, depending on experience, location, and employer.

What is a remote principal RF engineer?

A Remote Principal RF Engineer is a senior-level professional who specializes in designing, developing, and optimizing radio frequency (RF) systems and components, such as antennas, transmitters, and receivers, while working remotely. They often lead teams, oversee complex projects, and provide technical guidance to ensure high performance and compliance with industry standards. Their expertise is critical in industries like telecommunications, aerospace, and defense, where reliable wireless communication is essential.

What are the key skills and qualifications needed to thrive as a remote principal RF engineer?

To thrive as a Remote Principal RF Engineer, you need deep expertise in RF design, electromagnetic theory, and signal processing, usually backed by a degree in electrical engineering and substantial industry experience. Familiarity with RF simulation tools (like ADS, HFSS, or CST), network analyzers, and relevant certifications (such as FCC or IEEE) is often required. Strong problem-solving abilities, effective communication, and project leadership are standout soft skills in this role. These competencies are essential for delivering high-performance RF solutions, ensuring regulatory compliance, and effectively leading cross-functional engineering teams.

How does a remote principal RF engineer typically collaborate with cross-functional teams while working offsite?

As a Remote Principal RF Engineer, collaboration with cross-functional teams—such as hardware designers, software engineers, and project managers—is usually facilitated through regular virtual meetings, collaborative design platforms, and shared documentation tools. Despite being offsite, you’ll often participate in technical reviews, offer guidance on RF design challenges, and coordinate integration efforts to ensure project milestones are met. Successfully managing clear communication and documentation is essential in this remote environment to keep all team members aligned. Many organizations also use project management software and version control systems to streamline collaboration and ensure transparency across different time zones.

What is the difference between Remote Principal Rf Engineer vs Remote Senior Rf Engineer?

AspectRemote Principal Rf EngineerRemote Senior Rf Engineer
CredentialsAdvanced degrees, certifications in RF engineeringRelevant experience, certifications often preferred
Work EnvironmentLeadership roles, strategic planning, cross-team collaborationHands-on design, testing, troubleshooting
Industry UsageUsed in high-level design and architecture roles in telecom and wireless industriesCommon in development and implementation teams

The Remote Principal Rf Engineer typically holds a leadership position with strategic responsibilities, while the Remote Senior Rf Engineer focuses more on technical expertise and hands-on tasks. Both roles require RF engineering credentials, but the principal level emphasizes project oversight and industry influence.

What are popular job titles related to Remote Principal Rf Engineer jobs in Santa Clara, CA?

For Remote Principal Rf Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Principal Rf Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Principal Rf Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Principal Rf Engineer jobs?

Cities near Santa Clara, CA with the most Remote Principal Rf Engineer job openings:

Remote Principal Rf Engineer jobs near you
Infographic showing various Remote Principal Rf Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $172,901 per year, or $83.1 per hour.

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Redwood City, CA • On-site, Remote

$153K - $211K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 9 days ago

Job description

Role: Hybrid in Redwood City, CA. (Will consider Remote for the right candidate)
Must have: Experience building large-scale prediction or optimization systems
PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media across CTV, mobile app, and omnichannel environments.
About the Role:
We are looking for a Senior Principal Machine Learning Engineer to help build the next generation of performance optimization capabilities for PubMatic's Activate platform.
This role is focused on applying machine learning, prediction, ranking, calibration, experimentation, and optimization techniques to improve campaign outcomes across performance advertising goals such as CTR, VCR, CPC, CPA, and ROAS. The ideal candidate has strong ML fundamentals and experience building large-scale production models or optimization systems.
What You'll Do:
  • Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
  • Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
  • Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
  • Design and improve CTR, CVR, VCR, CPA, ROAS, app-install, user-value, and campaign-performance models.
  • Develop bidding, pacing-aware optimization, ranking, exploration, and value-estimation approaches for performance advertising.
  • Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.
  • Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch.
  • Partner with performance advertising signal engineers to define model-ready features, labels, attribution windows, negative examples, training datasets, and online serving requirements.
  • Partner with engineering, product, analytics, and platform teams to translate model outputs into real-time decisioning systems.
  • Help evolve Activate from a media buying execution platform into a performance optimization platform.
  • Provide technical leadership and mentorship to engineers and applied scientists working on performance optimization problems.
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Preferred Experience:
    • Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.
    • Experience with performance advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization.
    • Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising.
    • Experience with exploration/exploitation, counterfactual evaluation, uplift modeling, delayed-feedback modeling, or learning under biased logs.
    • Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or lift measurement.
    • Experience working cross-functionally with product, engineering, analytics, and business stakeholders.

We'd love for you to have:
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Additional Information
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
About PubMatic
PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.
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Compensation Disclosure
In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
Total Compensation Range
$260,000-$330,000 USD

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