ZipRecruiter

Log In

2

Signal Integrity Engineer Remote Jobs in California

Figma

Security Engineer

San Francisco, CA · Remote

This is a remote first role. You will partner closely with teams across the company and focus on ... Develop new signals and improve the use of existing signals to detect abusive behavior. * Help ...

Axiad

GTM Engineer

San Jose, CA · Remote

$121K - $150K/yr

Remote, US (or hybrid HQ San Jose) Job Type: Full-time Axiad is the identity security company ... Design, build, and maintain the programmatic outbound engine - signal-based prospecting, multi ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · Remote

$139K - $145K/yr

... feedback and market signals into design specifications to inform new sensor and platform ... remote access, and video management software (VMS) operation. • Working with cross-functional ...

talentpluto

Go-to-Market Engineer

San Francisco, CA · Remote

Remote (United States) Work Model: Remote Industry: Security technology (enterprise SaaS ... Think targeting the right accounts at the right moment, surfacing intent signals to the sales team ...

talentpluto

Go-to-Market Engineer

San Francisco, CA · Remote

Remote (United States) Work Model: Remote Industry: Security technology (enterprise SaaS ... Think targeting the right accounts at the right moment, surfacing intent signals to the sales team ...

previous page

Showing results 41-60

All JobsSignal Integrity Engineer JobsSignal Integrity Engineer Remote JobsSignal Integrity Engineer Remote Jobs in California

Signal Integrity Engineer Remote information

What are some common challenges signal integrity engineers face when working remotely, and how can they be addressed?

Signal Integrity Engineers working remotely often face challenges such as coordinating with cross-functional teams across different locations, accessing specialized lab equipment, and troubleshooting complex hardware issues without in-person collaboration. To address these, engineers typically rely on advanced simulation tools, regular virtual meetings, and detailed documentation to ensure clear communication. Establishing strong lines of communication with on-site team members and leveraging remote access to lab setups can also help mitigate these challenges and maintain productivity.

How much do signal integrity engineers make?

Signal integrity engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior roles or those with specialized skills in high-speed digital design or RF may offer higher compensation, especially with certifications and advanced knowledge of simulation tools.

What are the key skills and qualifications needed to thrive as a signal integrity engineer remote?

To thrive as a Signal Integrity Engineer working remotely, you need a solid background in electrical engineering, expertise in signal and power integrity analysis, and experience with high-speed digital design, usually supported by a relevant degree. Familiarity with technical tools such as simulation software (e.g., Ansys HFSS, Cadence Sigrity), PCB layout tools, and measurement equipment is essential. Strong problem-solving abilities, clear communication, and self-motivation are standout soft skills for remote collaboration and troubleshooting. These competencies ensure accurate analysis, effective remote teamwork, and the reliable performance of electronic systems.

What is a signal integrity engineer?

A Signal Integrity Engineer is a professional who specializes in ensuring the quality and reliability of electrical signals in high-speed digital circuits and systems. They analyze and address issues such as noise, interference, crosstalk, and electromagnetic compatibility to prevent signal degradation. Their work often involves modeling, simulation, testing, and troubleshooting to optimize the performance of printed circuit boards (PCBs) and interconnects. Signal Integrity Engineers play a crucial role in industries like telecommunications, consumer electronics, and automotive systems, especially as data rates and system complexity increase.

What are the most commonly searched types of Signal Integrity Engineer jobs in California?

The most popular types of Signal Integrity Engineer jobs in California are:

What are popular job titles related to Signal Integrity Engineer Remote jobs in California?

For Signal Integrity Engineer Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Signal Integrity Engineer Remote jobs in California look for?

The top searched job categories for Signal Integrity Engineer Remote jobs in California are:

What cities in California are hiring for Signal Integrity Engineer Remote jobs?

Cities in California with the most Signal Integrity Engineer Remote job openings:

Signal Integrity Engineer Remote jobs near you
Infographic showing various Signal Integrity Engineer Remote job openings in California as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, 2% Part Time, and 6% Contract. Highlights an 10% In-person, and 90% Remote job distribution.

Staff Software Engineer- Growth Performance Marketing

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Pinterest's performance marketing engineering team owns the end-to-end systems that turn marketing dollars into measured user growth spanning attribution, bidding, budget optimization, and campaign management across major advertising platforms. This role is responsible for designing systems that scale across channels and adapt as privacy landscapes shift.

What you'll do: 

  • Lead the technical roadmap for the performance marketing platform, defining the highest-impact investments across attribution, bidding, budget optimization, and campaign management
  • Drive hands-on engineering across ad platform integrations, event pipelines, and production systems that deploy and measure marketing spend
  • Design and evolve the measurement stack - attribution models, conversion signal collection, incrementality methodology, and privacy-resilient approaches as platform signals degrade
  • Develop systems that automate and optimize bidding strategies and campaign experimentation at scale
  • Drive cross-team technical initiatives with ads platform, data warehouse, and mobile teams - authoring design documents and building alignment across engineering orgs
  • Own system reliability and operational health for spend-critical systems where downtime or bugs have direct financial impact
  • Collaborate with marketing, data science, and product partners to identify growth opportunities and turn them into engineered solutions
  • Mentor and develop engineers on the team, establishing technical best practices and raising the bar on system design
  • Use AI to accelerate your own work-across exploration, drafting, analysis, and synthesis-while maintaining strong judgment, rigorous validation, and accountability for outcomes

What we're looking for:

  • 7+ years of experience building and shipping backend systems, with hands-on experience supporting performance marketing
  • Strong understanding of paid media platforms - Google Ads, Meta, TikTok, Snap, or similar - and the operational realities of integrating with their APIs at scale
  • Deep understanding of attribution methodologies (last click, multi-touch, SKAN, probabilistic vs. deterministic), incrementality testing, and conversion optimization, with hands-on experience integrating mobile measurement partners (AppsFlyer, Adjust, Singular, or similar) across mobile clients and server-side APIs
  • Experience with near real-time systems for bidding, budget optimization, and conversion event delivery - you understand the mechanics well enough to evolve existing systems and propose improvements
  • Strong proficiency building and operating data pipelines and services using Python or Java/Scala, plus SQL; experience with modern big data ecosystems is a plus
  • Strong systems design skills across distributed systems, event-driven architectures, and service-oriented backends
  • Familiarity with ML infrastructure concepts and ability to build systems that support ML workloads
  • Demonstrated ability to use AI to accelerate your workflow while maintaining high standards for verification, data integrity, and ownership of final outputs
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement: 

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

 #LI-REMOTE

#LI-AG8

Apply