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Battery Modeling Simulation Engineer Jobs in Seattle, WA

Implement simulation models for Meta's Accelerator ASICs, develop and analyze various scenarios to ... Collaborate with architects and engineers to integrate simulation results into system design ...

As the Battery Cell Engineer, you are responsible for the cell-level aspects of the battery design ... Extract parameters from cell data to support model creation and validation.Apply different ...

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Test Engineer to support the testing and verification of X-BAT's battery energy storage. This ...

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Test Engineer to support the testing and verification of X-BAT's battery energy storage. This ...

Showing results 41-60

Battery Modeling Simulation Engineer information

See Seattle, WA salary details

$44.4K

$140.4K

$216.8K

How much do battery modeling simulation engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for battery modeling simulation engineer in Seattle, WA is $140,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $166,700.00 per year, depending on experience, location, and employer.

What is a battery modeling simulation engineer?

A Battery Modeling Simulation Engineer develops and implements mathematical models to simulate battery performance, behavior, and lifespan. They use software tools and simulations to analyze battery efficiency, thermal management, and electrochemical properties. Their work helps optimize battery designs for applications like electric vehicles, renewable energy storage, and consumer electronics. This role requires expertise in physics, electrochemistry, and computational modeling to improve battery reliability and performance.

What are the key skills and qualifications needed to thrive as a battery modeling simulation engineer?

To thrive as a Battery Modeling Simulation Engineer, you should have a solid background in electrochemistry, physics, and computational modeling, typically supported by a degree in engineering or a related field. Proficiency in simulation tools such as COMSOL, MATLAB, or ANSYS, and familiarity with battery management systems and data analysis software, is essential. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities are highly valued in this role. These competencies are crucial for accurately modeling battery behaviors, identifying performance improvements, and working efficiently with multidisciplinary teams.

What are some common challenges faced by battery modeling simulation engineers, and how are they addressed?

Battery Modeling Simulation Engineers often work with complex, evolving battery technologies and must accurately simulate real-world behaviors—challenges that require staying up-to-date with the latest research and adapting models accordingly. They may encounter difficulties with unavailable or incomplete data, thermal management, and integrating simulation results into practical applications. To overcome these challenges, engineers collaborate closely with chemists, experimentalists, and software developers, regularly validate models with lab results, and participate in continuous learning through workshops or trainings. This dynamic environment encourages innovative problem-solving and provides valuable professional growth opportunities.

What are popular job titles related to Battery Modeling Simulation Engineer jobs in Seattle, WA?

For Battery Modeling Simulation Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Battery Modeling Simulation Engineer jobs in Seattle, WA look for?

The top searched job categories for Battery Modeling Simulation Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Battery Modeling Simulation Engineer jobs?

Cities near Seattle, WA with the most Battery Modeling Simulation Engineer job openings:

Infographic showing various Battery Modeling Simulation Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $140,432 per year, or $67.5 per hour.

Software Engineer, Simulation

Bellevue, WA

Meta
Internet and IT • 10K+ employees

$154K/yr

Full-time

Posted 6 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

We are seeking an experienced software engineer to join the MTIA (Meta Training and Inference Accelerator) software team, to work on simulators and other early software development platforms. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. This is an opportunity to work with a dedicated engineering team, collaborating with a large set of cross-functional partners. The program carries top-level executive visibility as a key AI infrastructure initiative, and the team values deep technical contributions with extensive knowledge-sharing.
Software Engineer, Simulation Responsibilities:
  • Contribute to our developer infrastructure, including simulation and HW emulation platforms, to enable performance measurement and optimization for Meta’s in-house accelerator programs
  • Support networking and compute hardware acceleration techniques to improve ML inference and training model performance
  • Implement simulation models for Meta’s Accelerator ASICs, develop and analyze various scenarios to evaluate data center performance and identify potential improvements
  • Perform an architectural analysis to ensure that system designs meet performance, scalability, and reliability requirements
  • Collaborate with architects and engineers to integrate simulation results into system design processes
  • Use instruction set simulators to define performant firmware for Meta's training/inference accelerators
  • Collaborate with hardware teams to ensure accurate modeling and simulation of accelerator functionalities

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Masters or PhD in Computer Science, Computer Engineering, or any other relevant technical field
  • 5+ years of experience in developing C++ codebase
  • 5+ years experience in developing Python codebase
  • Understanding of performance and benchmarking measurement and optimization on collective communications and distributed at-scale model training and inference

Preferred Qualifications:
  • Experience with SystemC, Qemu, Virtual Platform
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in one or more of the following machine learning/deep learning domains: hardware accelerators, AI Infrastructure, and/or high performance computing (HPC), particularly pertaining to interconnect and collective
  • Full-stack experience and understanding of AI/HPC systems, from HW/infrastructure through the application layer, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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