ZipRecruiter

Log In

1

Director Modeling Simulation Engineer Jobs in Alameda, CA

Archer

BMS Simulation Engineer - (SJ2026SP)

San Jose, CA · On-site

$161K - $169K/yr

Lead and coordinate BMS simulation modeling with individual team members and subject matter experts across Battery Engineering and its teammates/partners. * Work closely with stakeholders to define ...

Form Energy

Staff Thermal Simulation Engineer

Berkeley, CA · On-site

$147K - $221K/yr

Role Description As a Staff Simulation Engineer specializing in Computational Fluid Dynamics (CFD ... You will own the thermal-fluid architectural strategy, physics-based modeling framework, and multi ...

Apple

Electrical Simulation CAE Engineer

San Jose, CA · On-site

$120K - $249K/yr

We are seeking a simulation engineer with a strong electrical background to create innovative end-to-end modeling and simulation solutions with cross-functional team members for simulation users ...

previous page

Showing results 41-60

All JobsModeling Simulation Engineer JobsDirector Modeling Simulation Engineer JobsDirector Modeling Simulation Engineer Jobs in Alameda, CA

Director Modeling Simulation Engineer information

See Alameda, CA salary details

$44.2K

$139.9K

$215.9K

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

As of Sep 4, 2026, the average yearly pay for director modeling simulation engineer in Alameda, CA is $139,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a director modeling simulation engineer?

A Director Modeling Simulation Engineer is a senior-level leader responsible for overseeing the development and implementation of complex models and simulations, often within industries such as aerospace, defense, or engineering. This role involves managing teams of engineers and scientists, setting technical strategy, and ensuring that simulation tools meet organizational goals and project requirements. The director collaborates with other departments, ensures quality control, and often represents the modeling and simulation function to stakeholders. They are also involved in resource planning, budgeting, and mentoring junior staff. The position requires extensive technical expertise and leadership experience.

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

To thrive as a Director Modeling Simulation Engineer, you need advanced expertise in systems engineering, computational modeling, and simulation development, typically supported by a degree in engineering or applied sciences and extensive industry experience. Familiarity with technical tools such as MATLAB, Simulink, C++, and modeling frameworks, as well as certifications like INCOSE CSEP or PMP, is common. Strong leadership, strategic thinking, and excellent communication skills help drive cross-functional teams and effectively present complex technical concepts to stakeholders. These abilities ensure successful project execution, innovation, and alignment of simulation efforts with organizational goals.

How does a director modeling simulation engineer typically collaborate with cross-functional teams to drive project success?

A Director Modeling Simulation Engineer often works closely with teams such as product development, systems engineering, and software engineering to ensure simulation models align with overall project goals. This role involves leading technical discussions, translating complex modeling requirements into actionable tasks, and providing guidance to ensure accuracy and integration of simulations within larger systems. Frequent collaboration may also include presenting findings to stakeholders, mentoring junior engineers, and coordinating with project managers to align timelines and deliverables. Strong communication and organizational skills are essential to facilitate effective teamwork and project outcomes.

What is the difference between Director Modeling Simulation Engineer vs Modeling Simulation Engineer?

AspectDirector Modeling Simulation EngineerModeling Simulation Engineer
CredentialsTypically requires a bachelor's or master's degree in engineering, computer science, or related fields; often with leadership experienceRequires a bachelor's or master's degree in engineering, computer science, or related fields
Work EnvironmentLeads teams, manages projects, and collaborates with senior managementFocuses on developing and running simulations, working within engineering teams
Industry UsageUsed in aerospace, defense, automotive, and technology sectors for high-level simulation oversightCommonly employed in similar industries for technical simulation tasks

The main difference is that the Director Modeling Simulation Engineer oversees teams and strategic projects, while the Modeling Simulation Engineer focuses on technical simulation work. The director role involves leadership, project management, and higher-level decision-making, whereas the engineer role emphasizes hands-on simulation development and analysis.

What cities near Alameda, CA are hiring for Director Modeling Simulation Engineer jobs?

Cities near Alameda, CA with the most Director Modeling Simulation Engineer job openings:

Director Modeling Simulation Engineer jobs near you
Infographic showing various Director Modeling Simulation Engineer job openings in Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $139,856 per year, or $67.2 per hour.

Senior Simulation Engineer

Toyota Research Institute

Los Altos, CA • On-site

$180K - $258K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. 
 
 
The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
 
 
We are seeking a Senior Simulation Engineer to lead the development of sensor and system-level simulation workflows that support both closed-loop validation and synthetic data generation for training. In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions.
 
 
This role is not limited to simulation infrastructure or tooling. Instead, you will focus on functional validation of learned behaviors, scalable synthetic data generation, and the seamless integration of state-of-the-art simulation technologies to support both training and evaluation workflows. You will also play a key role in driving cross-functional alignment between autonomy, platform, ML infrastructure, and integration teams. This work is part of Toyota's global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.
Responsibilities
  • Build a visually realistic simulator to test full end-to-end autonomy stack behavior, from simulating sensors to motion planning, across a range of scenario conditions.
  • Prototype and integrate with internal and third-party simulators to evaluate their ability to support learned system testing.
  • Curate scenarios, system introspection.
  • Build data logging frameworks used during large-scale virtual tests.
  • Collaborate closely with autonomy, ML, and integration teams to define simulation entry points, runtime configs, and closed-loop evaluation metrics.
  • Build diagnostic tooling and analysis pipelines to understand and improve real system behavior in simulation.
  • Lead cross-functional efforts to close the gap between simulation and on-vehicle deployment, increasing the reliability of sim-based validation.
  • Provide technical mentorship and foster a collaborative, high-trust engineering culture across organizational boundaries.
  • Demonstrate excellent design practices; generate technical documentation; lead technical presentations; aligning with stakeholders before, during, and after implementation is essential.
Qualifications
  • Bachelor's or Master's in Computer Science, Robotics, or a related field.
  • 10+ years of experience in robotics, autonomous systems, or simulation.
  • Experience with 3D reconstruction (e.g. Gaussian Splatting, Neural radiance fields, etc).
  • Experience with 3D generation.
  • Experience with Unreal Engine.
  • Strong programming skills in Python and C++, especially for robotics or systems development.
  • Experience with simulation platforms (e.g., CARLA, Applied Intuition, Nvidia DriveSim, etc) and their integration into autonomous system workflows.
  • Knowledge of sensor simulation principles and how perception systems interact with synthetic data.
  • Understanding of end-to-end autonomy pipelines, from raw sensor input to trajectory outputs.
  • Demonstrated ability to design for both users (e.g., autonomy developers) and simulation infrastructure stakeholders.
  • Passion for using simulation to drive real-world progress and system understanding.
Bonus Qualifications
  • Hands-on experience validating machine learning-based autonomy stacks in closed-loop simulation.
  • Knowledge of scenario generation, rare event simulation, or counterfactual testing.
  • Knowledge of one or more cloud compute platforms, such as AWS.
  • Experience with multi-agent simulation or high-fidelity 3D environments.
  • Prior experience in fast-paced R&D environments bridging research and production.
Please include links to any relevant open-source contributions or technical project write-ups with your application.
 
The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
 
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply