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Fidelity Software Engineer Jobs in Seattle, WA (NOW HIRING)

Socket.dev

AFSIM Modeler/Software Engineer

Redmond, WA · On-site

$120 - $170/hr

Run simulations, debug model behavior, investigate unexpected results, and improve model fidelity ... Collaborate closely with software engineers, systems engineers, and subject-matter experts to ...

Microsoft

Senior Software Engineer

Redmond, WA · On-site

$160K - $261K/yr

As a Senior Software Engineer working on Windows desktop remoting, you will get an amazing ... Design and optimize remote desktop experiences with a focus on high fidelity and ultra-low latency ...

ExtraHop

Sr. Software Engineer, Framework

Seattle, WA · On-site

$139K - $183K/yr

The Senior Software Engineer on the Framework team will take ownership of complex development ... with the high-fidelity context they need to power security and IT AI automation, detect risks ...

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Fidelity Software Engineer information

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How much do fidelity software engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for fidelity software engineer in Seattle, WA is $167,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a Fidelity software engineer?

A Fidelity Software Engineer is responsible for designing, developing, and maintaining software solutions that support Fidelity Investments' financial services and products. They work with modern technologies to build scalable applications, enhance user experiences, and ensure system security. Engineers collaborate with cross-functional teams, including product managers and designers, to develop innovative solutions. The role often requires knowledge of programming languages like Java, Python, or JavaScript, as well as experience with cloud platforms and DevOps practices. Fidelity Software Engineers play a key role in driving technology advancements to improve customer experiences and business processes.

What are the common responsibilities of a Fidelity software engineer?

As a Fidelity Software Engineer, you will often be involved in designing, developing, and maintaining financial systems, trading platforms, or customer-facing web and mobile applications. Your daily work may include writing and reviewing code, collaborating with cross-functional teams such as product managers and QA engineers, and participating in Agile ceremonies like daily standups and sprint planning. You might also work on integrating new technologies to enhance user experience, optimize system performance, or ensure data security and regulatory compliance. These responsibilities provide opportunities to develop expertise in financial technology and make a direct impact on client and business success.

What skills and qualifications are needed to thrive as a Fidelity software engineer?

To thrive as a Fidelity Software Engineer, you need strong programming skills in languages such as Java, Python, or C#, a solid understanding of software development methodologies, and usually a bachelor's degree in computer science or a related field. Familiarity with tools like Git, CI/CD pipelines, cloud platforms (AWS or Azure), and financial systems integration is often required, and certifications in Agile development or relevant cloud technologies can be advantageous. Exceptional problem-solving abilities, effective teamwork, and strong communication skills are important soft skills for this role. These competencies ensure the delivery of high-quality, secure, and reliable software solutions in a collaborative and fast-paced financial services environment.

What are the most commonly searched types of Fidelity Software Engineer jobs in Seattle, WA?

The most popular types of Fidelity Software Engineer jobs in Seattle, WA are:

What are popular job titles related to Fidelity Software Engineer jobs in Seattle, WA?

For Fidelity Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Fidelity Software Engineer jobs in Seattle, WA look for?

The top searched job categories for Fidelity Software Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Fidelity Software Engineer jobs?

Cities near Seattle, WA with the most Fidelity Software Engineer job openings:

Fidelity Software Engineer jobs near you
Infographic showing various Fidelity Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $167,980 per year, or $80.8 per hour.

Autonomous Simulation Software Engineer

Leidos

Lynnwood, WA • On-site

Full-time

Posted 5 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 496 rated business services

Job description

Build the simulated worlds where autonomous UUVs learn, fail, improve, and prove they're ready for the real one.
Leidos is looking for an Autonomous Simulation Software Engineer to build the software and simulation infrastructure behind next-generation uncrewed underwater vehicles and maritime autonomous systems.
Autonomous systems operating underwater face a uniquely unforgiving environment: limited communications, uncertain navigation, imperfect sensors, complex vehicle dynamics, and missions where the software must make good decisions without waiting for help. We need simulation environments capable of reproducing those challenges with enough fidelity to develop, integrate, test, and ultimately trust the autonomy that operates in them.
This is a hands-on software engineering role for someone who enjoys building simulators, modeling complex systems, and creating reusable simulation frameworks. You'll develop software that models vehicles, sensors, environments, interfaces, faults, and behaviors-giving engineers the ability to exercise mission software repeatedly before putting a vehicle in the water.
You'll directly support a growing programwhile also helping evolve and expand our MAGMA-based Simulation Framework, creating simulation capabilities that can be reused across vehicles, missions, and programs.
We already have engineers who know autonomy and engineers who have built simulation capability out of necessity. We're looking for someone who brings simulation engineering as a discipline-and who wants to help us take that capability much further.
Why This Role Is Different
  • You'll build simulations that engineers actually depend on, not visualization demos.
  • You'll model real systems and real failure modes, including vehicles, sensors, environments, interfaces, and mission behaviors.
  • You'll help increase simulation fidelity, closing the gap between what happens in software and what happens when a vehicle enters the water.
  • You'll shape a growing simulation framework, not simply write scenarios against a finished product.
  • You'll work directly with autonomy and vehicle engineers, using simulation to find problems earlier and accelerate development.
  • You'll have room to experiment, developing new approaches for modeling, simulation, test, and analysis that can grow beyond a single program.

If you enjoy building software that recreates complicated real-world systems-and seeing that software make an engineering team faster and a deployed system more reliable-this is the role.
Primary Responsibilities
  • Build high-fidelity simulation software using modern C++, Java, and Python on Linux-based systems to model autonomous vehicles, sensors, environments, interfaces, and mission behavior.
  • Expand and evolve our MAGMA-based Simulation Framework, developing reusable simulation components, interfaces, models, tooling, and architectural patterns that can support multiple vehicles and programs.
  • Increase simulation fidelity by working with autonomy, systems, hardware, and test engineers to identify the behaviors and interactions that matter most and represent them effectively in software.
  • Model complex systems and behaviors, translating vehicle characteristics, sensor behavior, environmental effects, system interfaces, and operational constraints into useful software models.
  • Enable autonomy development and test, creating simulation environments where mission software can be exercised repeatedly across nominal, edge-case, degraded, and failure scenarios before deployment to real hardware.
  • Architect scalable simulation infrastructure, emphasizing modularity, extensibility, deterministic behavior where appropriate, performance, and reuse across different platforms and levels of simulation fidelity.
  • Connect simulation to production software, integrating simulated components with real autonomy and mission software through representative interfaces and protocols.
  • Build tools that accelerate engineering, including scenario generation, instrumentation, data collection, playback, debugging, visualization, and automated simulation execution.
  • Validate simulation against reality, using test data, system behavior, and engineering analysis to understand where models are representative-and where they are not.
  • Ship real capabilities, developing, integrating, testing, and maintaining production-quality simulation software with ownership from architecture through implementation and use.
  • Collaborate across disciplines, contributing to technical debates, design reviews, and trade studies involving autonomy, systems engineering, vehicle software, hardware, modeling, and test.
  • Continuously improve how we simulate and test, helping establish simulation engineering practices that increase development velocity without sacrificing technical rigor.

Basic Qualifications
  • Education & Experience - Bachelor's degree in Computer Science, Software Engineering, Robotics, Engineering, or a related field with 8-12 years of experience, or a Master's degree with 6-10 years of experience.
  • Security Eligibility - Must have a current, active Secret clearance.
  • Serious C++ Skills - Demonstrated experience developing modern C++ software on Linux, with strong fundamentals in software architecture, performance, memory management, debugging, and code quality.
  • Simulation Software Experience - Experience developing software used to simulate, model, emulate, or test complex physical or cyber-physical systems.
  • Systems Thinking - Ability to understand how software components interact with sensors, hardware, networks, physical systems, and their operating environment-and translate those interactions into useful simulation abstractions.
  • Engineering Judgment - Ability to choose the right level of fidelity for the engineering problem rather than simply maximizing model complexity.
  • Software Architecture - Experience designing modular, extensible software systems with well-defined interfaces that can evolve as requirements and modeled systems change.
  • Modern Development Environments - Experience developing and deploying software in Linux and virtualized or containerized environments such as VMware or Docker.
  • Test & Analysis Mindset - Ability to design simulations and tests that expose meaningful system behavior, investigate unexpected results, and distinguish software defects from modeling limitations.
  • Clear Communication - Ability to explain complex technical ideas and modeling assumptions to software, systems, hardware, test, and program stakeholders.
  • Professional Integrity - Ownership, accountability, intellectual curiosity, and respect for teammates and mission outcomes.

Preferred Qualifications
  • Robotics & Autonomy - Hands-on experience with autonomous systems, robotics, decision-making, planning, navigation, controls, or mission-management software.
  • Vehicle Simulation - Experience modeling robotic vehicles, dynamics, sensors, actuators, navigation systems, communications, or environmental interactions.
  • SIL/HIL Experience - Experience developing or integrating Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), or other simulation and test environments.
  • Simulation Architecture - Experience developing reusable simulation frameworks rather than only creating individual models or scenarios.
  • Model Validation - Experience comparing simulated behavior against real-world data and identifying appropriate fidelity, assumptions, uncertainty, and limitations.
  • Scenario & Monte Carlo Testing - Experience creating automated scenarios, parameter sweeps, Monte Carlo analysis, fault injection, or large-scale simulation campaigns.
  • Distributed Simulation - Experience with simulation systems composed of multiple processes, nodes, services, or federated components operating through realistic interfaces.
  • Polyglot Engineering - Experience across multiple languages such as C#, Java, Python, or Rust and comfort adapting to new stacks quickly.
  • Embedded or Low-Level Experience - Exposure to embedded systems, resource-constrained environments, real-time systems, or software interacting directly with vehicle hardware.
  • Legacy-to-Modern Skill - Experience diagnosing, refactoring, and improving large or aging codebases while preserving working capabilities.
  • Maritime or Undersea Experience - Background with autonomous, remotely operated, or mission-critical platforms, particularly UUVs, AUVs, ROVs, or other maritime systems.
  • Systems Engineering Familiarity - Familiarity with MBSE concepts and tools such as Cameo or MagicDraw and the relationship between system models, software architecture, simulation, verification, and validation.
  • Toolchain Familiarity - Experience with ROS, Protocol Buffers, SCons, VS Code, CI/CD systems, and cross-platform build environments is a strong plus.

SUBSEAMSS
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
August 19, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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