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Software Integrity Engineer Jobs in California (NOW HIRING)

... software intelligence with physical hardware. That includes Midnight, Archer's all-electric air ... About the Role As the Design Data Integrity Engineer, you will ensure the accuracy, completeness ...

It provides end-to-end visibility, policy enforcement, and real-time risk detection to help engineering teams ensure software integrity, prevent tampering, and comply with evolving supply chain ...

Signal Integrity Architect

Santa Clara, CA · On-site +1

$196K/yr

Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm Data Center ... software, reference designs, user guides, SDKs, and more. Position: Signal Integrity Architect We ...

It provides end-to-end visibility, policy enforcement, and real-time risk detection to help engineering teams ensure software integrity, prevent tampering, and comply with evolving supply chain ...

Showing results 41-60

Software Integrity Engineer information

See California salary details

$62.7K

$145.6K

$202.8K

How much do software integrity engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for software integrity engineer in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a software integrity engineer?

Software Integrity Engineers are professionals responsible for ensuring the security, quality, and compliance of software systems throughout the development lifecycle. They focus on identifying vulnerabilities, enforcing coding standards, and integrating tools that detect issues such as bugs, security flaws, and license violations. Their work helps organizations deliver reliable and trustworthy software by implementing best practices and automated checks. This role often involves collaboration with developers, quality assurance teams, and IT security specialists.

What are some common challenges faced by software integrity engineers in ensuring code quality and security across multiple development teams?

Software Integrity Engineers often work with diverse development teams, which can lead to challenges such as aligning teams on secure coding standards, managing code reviews at scale, and integrating automated testing tools into various workflows. Balancing rapid software delivery with thorough security checks requires effective communication and robust processes. Additionally, staying updated with evolving security threats and ensuring consistent compliance across projects are ongoing tasks that demand adaptability and proactive problem-solving.

What are the key skills and qualifications needed to thrive as a software integrity engineer, and why are they important?

To thrive as a Software Integrity Engineer, you need expertise in software development, secure coding practices, and vulnerability assessment, often supported by a degree in computer science or a related field. Familiarity with tools like static and dynamic code analysis software, CI/CD systems, and security certifications such as CISSP or CEH is common. Strong analytical thinking, attention to detail, and effective communication help you identify risks and collaborate with development teams. These skills are vital to ensure the reliability, security, and compliance of software products in today's digital landscape.

What is the difference between Software Integrity Engineer vs Software Quality Assurance Engineer?

AspectSoftware Integrity EngineerSoftware Quality Assurance Engineer
Primary FocusEnsuring software security, compliance, and integrity throughout developmentTesting and verifying software quality and functionality
Skills & CertificationsSecurity certifications (e.g., CISSP), coding, and security toolsTesting tools, QA methodologies, and certifications like ISTQB
Work EnvironmentDevelopment teams, security teams, and DevOpsQA teams, development teams, and testing labs
Industry UsageTech, finance, healthcare, where security is criticalSoftware development companies, app testing firms

While both roles focus on software quality, the Software Integrity Engineer emphasizes security, compliance, and software integrity, whereas the Software Quality Assurance Engineer concentrates on testing, functionality, and user experience. Understanding these differences helps organizations assign the right responsibilities and find suitable candidates.

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

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

Infographic showing various Software Integrity Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.

Computational Electromagnetics Engineer - Signal Integrity

Palo Alto, CA • On-site

$180K - $210K/yr

Full-time

Posted 26 days ago


Key responsibilities

  • Design and implement frequency-domain and time-domain full-wave EM solvers for high-speed interconnect structures.

  • Develop S-parameter port extraction workflows and build signal integrity analysis capabilities such as transmission line characterization and crosstalk analysis.

  • Implement EM-to-thermal coupling by computing volumetric Ohmic dissipation from EM field solutions and integrating it into the thermal solver.


Job description

About Us
At Vinci4D, we are building the next generation of multi-physics simulation software for semiconductor and electronics applications - tools that let engineers model thermal, fluid, electromagnetic, and structural phenomena in the same framework, from first principles to final answer. We are a small, technically deep team that moves fast, ships real software, and takes on problems that the established players have not solved well. If you want your work to be foundational to a platform that changes how the electronics industry designs its most demanding products, this is the place.
The Role
We are looking for a computational electromagnetics engineer with deep expertise in signal integrity simulation for the semiconductor and electronics industry. You understand Maxwell's equations well enough to derive discretisations from scratch, and you have shipped production EM solvers or SI analysis tools that real engineers have relied on to qualify packages, characterise high-speed channels, or sign off interfaces at multi-gigabit data rates.
You will design and implement EM solver capabilities within Vinci4D's multi-physics platform - spanning signal integrity analysis, frequency-domain and time-domain full-wave methods, and quasi-static extraction. You will bring the domain depth needed to make those tools genuinely useful for signal integrity, power integrity, and EM-thermal coupling workflows in semiconductor packaging and PCB design.
This is not a "run simulations for customers" role. You will be building the solvers themselves: formulating the problems mathematically, implementing the discretisations, validating against reference solutions, and integrating the results into a coupled multi-physics framework.
What You Will Work On
  • Design and implement frequency-domain and time-domain full-wave EM solvers targeting IC package, via, connector, and PCB interconnect structures at GHz frequencies
  • Develop S-parameter port extraction workflows - implementing waveport and lumped port excitations, Fourier-transforming time-domain responses, and producing touchstone-format output compatible with industry channel simulators
  • Build signal integrity analysis capabilities: transmission line characterisation, via resonance prediction, crosstalk analysis, and eye diagram generation from simulated channel responses
  • Implement time-domain methods (FDTD) with PML absorbing boundary conditions for broadband signal integrity and EMI analysis, including Gaussian pulse excitation and wideband S-parameter extraction in a single simulation run
  • Develop quasi-static field solvers for parasitic extraction - resistive, capacitive, and inductive - with frequency-dependent skin-effect corrections, producing RLGC outputs for SPICE and channel simulation workflows
  • Build the EM-to-thermal coupling layer: computing volumetric Ohmic dissipation from EM field solutions and passing it as a source term to Vinci4D's thermal solver, with support for iterative coupling under temperature-dependent material properties
  • Develop and maintain validation infrastructure: convergence tests, golden-output comparisons against commercial reference tools (HFSS, CST, SIwave), and SI-specific benchmarks covering via S-parameters, transmission line impedance, and crosstalk
  • Collaborate with the team to integrate EM capabilities into the Vinci app, delivering outputs in formats familiar to SI engineers: S-parameters, eye diagrams, impedance profiles, and RLGC matrices

What We Are Looking For
Technical Skills - Must Have
  • Deep working knowledge of computational electromagnetics: FDTD, FDFD, and quasi-static methods, with a clear understanding of when each is appropriate and what their failure modes are
  • Hands-on experience with signal integrity simulation for the semiconductor industry - high-speed channel analysis, package and via characterisation, transmission line extraction, crosstalk, or PDN impedance - with an understanding of the numerics behind the tools, not just their outputs
  • Solid understanding of the full SI simulation workflow: from 3D EM field solutions through S-parameter extraction, through channel simulation, to eye diagram and margin analysis
  • Experience implementing FDTD solvers including the Yee cell staggered update, CFL stability, PML or absorbing boundary conditions, and port-based S-parameter extraction via Fourier analysis of time-domain responses
  • Experience with frequency-domain EM (FDFD or equivalent) including complex material properties, frequency sweeps, and direct or iterative solution of the resulting sparse complex linear systems
  • Experience with quasi-static field solvers for resistive, capacitive, and inductive parasitic extraction, including frequency-dependent skin-effect modelling
  • Proficiency in C++ and/or Python in a performance-critical scientific computing context
  • Strong software engineering practices: Git, code review, automated testing, CI/CD pipelines, and regression testing against reference solutions
Technical Skills - Desired
  • Working knowledge of high-speed interface standards relevant to semiconductor packaging: PCIe, DDR5/6, HBM, LPDDR, or equivalent SerDes interfaces at data rates above 10 Gbps
  • Experience with S-parameter characterisation and touchstone file workflows - generating, validating, and consuming multi-port S-parameter models in a production SI context
  • Solid understanding of the scale hierarchy in SI simulation: what quasi-static extraction covers, where full-wave treatment is required, and how the two are combined in a complete channel model
  • Familiarity with the EM-thermal coupling path in high-speed packaging or power electronics: deriving Ohmic heating from EM field solutions and using it as a thermal source term
Experience
  • 4-8 years of industry or research experience in computational electromagnetics applied to semiconductor packaging, PCB design, or high-speed electronics
  • Experience working within or closely alongside EDA-adjacent workflows - understanding how EM simulation outputs connect to circuit simulators, layout tools, and SI sign-off flows
  • A track record of delivering validated, production-quality solver code or extraction tools - not just academic prototypes
Soft Skills
  • Able to communicate EM concepts clearly to a multi-disciplinary team that includes thermal engineers, CFD specialists, and software engineers without a CEM background
  • Collaborative and generous with knowledge: you document your formulations, write readable code, and help teammates understand the physics
  • Comfortable with ambiguity: requirements evolve, benchmarks are sometimes wrong, and the right numerical formulation is not always obvious upfront
  • Self-directed and ownership-oriented: you drive your work from mathematical formulation through implementation through validation to integration

Nice to Have
  • Experience with GPU acceleration of EM solvers - FDTD on CUDA, batched sparse solvers for frequency-domain systems, or matrix-free Krylov methods
  • Familiarity with domain decomposition methods for EM problems - Schwarz iterations, Robin transmission conditions, or Schur complement approaches applied to quasi-static or full-wave solvers
  • Background in Method of Moments (MoM) or boundary integral formulations, particularly for PCB power plane or EMC applications
  • Experience with model order reduction for EM: rational fitting (vector fitting), passivity enforcement, or PRIMA-type approaches for compact S-parameter models
  • Familiarity with power integrity - PDN impedance, simultaneous switching noise, decoupling capacitor placement - as a complement to signal integrity work
  • Experience with co-packaged optics or photonic integration and the associated RF-photonic SI challenges at the package level
  • Graduate degree (M.S. or Ph.D.) in electrical engineering, applied mathematics, computational physics, or a related field with a CEM or SI focus

Why Vinci4D
  • Work on genuinely hard technical problems at the intersection of EM, thermal, and multi-physics simulation - problems the established EDA vendors have not fully solved
  • Join a small team where your contributions are visible, your formulations end up in the product, and your technical judgment shapes the architecture
  • Competitive compensation with equity participation
  • Flexible work environment
  • The satisfaction of building something from scratch - and the opportunity to define what the next generation of electronics simulation looks like

Vinci4D is an equal opportunity employer. We believe diverse teams build better software and welcome applicants from all backgrounds.