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Signal Intelligence Analyst Jobs in California (NOW HIRING)

Muon Space

FPGA RF Signal Processing Engineer

San Jose, CA · On-site

$173K - $196K/yr

... signal intelligence, modulation/demodulation, filtering, channel estimation, equalization ... Experience in systems analysis, troubleshooting and design, with a strong understanding of the ...

Muon Space

FPGA RF Signal Processing Engineer

San Jose, CA · On-site

$173K - $196K/yr

... signal intelligence, modulation/demodulation, filtering, channel estimation, equalization ... Experience in systems analysis, troubleshooting and design, with a strong understanding of the ...

Muon Space

FPGA RF Signal Processing Engineer

San Jose, CA · On-site

$173K - $196K/yr

... signal intelligence, modulation/demodulation, filtering, channel estimation, equalization ... Experience in systems analysis, troubleshooting and design, with a strong understanding of the ...

Socket.dev

FPGA RF Signal Processing Engineer

San Jose, CA · On-site

$173 - $196/hr

... signal intelligence, modulation/demodulation, filtering, channel estimation, equalization ... Experience in systems analysis, troubleshooting and design, with a strong understanding of the ...

New

Synchrony

This role is accountable for translating external and internal threat signals into actionable ... Manage the intelligence lifecycle (collection analysis production dissemination feedback). * Lead ...

Synchrony

VP, Cyber Intelligence Leader

Costa Mesa, CA · On-site

This role is accountable for translating external and internal threat signals into actionable ... Manage the intelligence lifecycle (collection analysis production dissemination feedback). * Lead ...

Phase2 Technology

Cryptology Specialist

San Diego, CA · On-site

$78 - $176/hr

... analysis of sensitive information. We're looking for someone like you to help our clients train on Distributed Signals Intelligence Operations in order to safeguard sensitive information, ensure ...

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All JobsSignal Intelligence Analyst JobsSignal Intelligence Analyst Jobs in California

Signal Intelligence Analyst information

See California salary details

$10.9K

$50.9K

$98.2K

How much do signal intelligence analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for signal intelligence analyst in California is $50,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $69,100.00 per year, depending on experience, location, and employer.

What is a signal intelligence analyst?

Signal Intelligence Analysts are professionals responsible for intercepting, analyzing, and interpreting signals and communications from various sources, often for military or national security purposes. They use specialized equipment and techniques to collect electronic data, such as radio transmissions or digital communications, to identify potential threats and provide valuable intelligence. Their work supports mission planning, threat assessments, and operational decisions. Signal Intelligence Analysts must be skilled in technology, critical thinking, and sometimes foreign languages to effectively carry out their duties.

What are some common challenges signal intelligence analysts face when interpreting complex data?

Signal Intelligence Analysts often encounter large volumes of encrypted or ambiguous data that require advanced technical skills and patience to interpret accurately. One of the main challenges is distinguishing relevant intelligence from background noise, which demands strong analytical abilities and attention to detail. Additionally, analysts must stay updated on rapidly evolving technologies and adversarial tactics, making continuous learning essential. Collaborative teamwork with other intelligence professionals is also crucial to piece together complete, actionable insights.

What are the key skills and qualifications needed to thrive as a signal intelligence analyst, and why are they important?

To thrive as a Signal Intelligence Analyst, you need strong analytical thinking, attention to detail, and a background in electronics or computer science, often supported by relevant military training or certifications. Familiarity with signal analysis software, cryptographic systems, and communication intercept tools is typically required. Outstanding problem-solving abilities, discretion, and effective communication skills help analysts interpret complex data and collaborate securely with teams. These skills and qualifications are crucial for accurately identifying and assessing intelligence threats, ensuring national security, and supporting mission objectives.

What is the difference between Signal Intelligence Analyst vs Cybersecurity Analyst?

AspectSignal Intelligence AnalystCybersecurity Analyst
Required CredentialsBachelor's in Intelligence, Security, or related field; security clearances often requiredBachelor's in Computer Science, Information Security, or related; certifications like CompTIA Security+ or CISSP common
Work EnvironmentIntelligence agencies, military, government agenciesPrivate companies, government agencies, IT firms
Industry UsageNational security, defense, intelligenceCybersecurity, IT security, data protection
Common Search/ComparisonOften compared for their roles in security and intelligence gatheringRelated in security focus but with different technical emphasis

The main difference is that Signal Intelligence Analysts focus on intercepting and analyzing signals for national security, often requiring security clearances. Cybersecurity Analysts primarily protect digital systems from cyber threats, emphasizing technical skills and certifications. Both roles are vital in security but serve different operational environments and objectives.

What cities in California are hiring for Signal Intelligence Analyst jobs?

Cities in California with the most Signal Intelligence Analyst job openings:

Signal Intelligence Analyst jobs near you
Infographic showing various Signal Intelligence Analyst job openings in California as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $50,850 per year, or $24.4 per hour.

Senior Business Intelligence Analyst

Waymo

Mountain View, CA • On-site

$168K - $207K/yr

Full-time

Re-posted yesterday

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Manager of Product Data Science.
You will:
  • Mine, triage, and analyze data from disparate, large-scale sources to extract insights that help evaluate driving scenarios and support onboard release deployment
  • Partner with Product Managers, Engineers, Program Managers to identify the right measurements for product performance and prioritization
  • Design and implement foundational data pipelines, and build the right reports and visualizations to drive insights
  • Develop a deep understanding of various metrics, datasets, and data sources in relation to self-driving vehicle releases and the product roadmap
  • Organize, develop, and contribute to signals and heuristics that capture targeted driving behaviors and scenarios
  • Drive a culture of excellence and help establish best practices within the broader data science team

You have:
  • 5+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of managing stakeholder relationships and prioritizing multiple projects
  • Ability to scope, structure, and solve ambiguous problems from end to end by creating clear analysis plans
  • Strong data intuition and statistical knowledge, with the ability to translate disparate signals from large, diverse datasets into insights on vehicle behavior
  • Coding experience with SQL to design and implement complex data pipelines following best practices
  • Strong attention to detail

We prefer:
  • Experience in the Autonomous Vehicle industry or a strong background in engineering or physics

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$168,000-$207,000 USD

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