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Sim Jobs in California (NOW HIRING)

OpenAI

Simulation Applications Engineer

San Francisco, CA · On-site

$230K - $385K/yr

About the Role We are hiring a Sim Application Engineer to turn simulation systems into reliable, automated, production-quality pipelines that power model training, evaluation, and hardware-in-the ...

ThinkTank

Lifeline Enrollment Expert

Los Angeles, CA · On-site

Lifeline Enrollment Expert Lifeline SIM partners with the nation's largest Lifeline service providers to help local communities access free and low-cost wireless service. Our role as a bridge between ...

ThinkTank

Lifeline Enrollment Expert

San Francisco, CA · On-site

Lifeline Enrollment Expert Lifeline SIM partners with the nation's largest Lifeline service providers to help local communities access free and low-cost wireless service. Our role as a bridge between ...

Skild AI

Physics Simulation Scientist

San Mateo, CA

You'll partner closely with engineers scaling simulation scene generation and with ML researchers pushing the limits of sim-to-real transfer. The ideal candidate brings deep physics-simulation ...

Hartnell Community College

$129K - $157K/yr

CLASS CHARACTERISTICS This is a management classification that is the strategic architect of the Sim Center; specifically focused on simulation technology and interprofessional pedagogy as well as ...

E-Space

Software Integration Lead - 5G CORE

Saratoga, CA · Remote

$114K - $154K/yr

SIM/eSIM provisioning, CRM, billing and online/offline charging, and device management. * Define and implement the integration between SIM and eSIM provisioning infrastructure and core subscriber ...

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Sim information

See California salary details

$10.9K

$128K

$195.4K

How much do sim jobs pay per year?

As of Jul 5, 2026, the average yearly pay for sim in California is $127,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $136,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Simulation Specialist, and why are they important?

To thrive as a Simulation Specialist, you typically need a background in healthcare or education, strong understanding of simulation methodologies, and relevant experience or a degree in a related field. Proficiency with simulation software (such as Laerdal, SimMan, or Gaumard), audiovisual systems, and scenario development tools is important. Excellent communication, problem-solving, and organizational skills help Simulation Specialists effectively coordinate training sessions and adapt to changing needs. These competencies ensure realistic, efficient simulation experiences that improve learner outcomes and support institutional goals.

What is a SIM job?

A SIM job typically refers to a role involving Subscriber Identity Module (SIM) cards, such as managing, testing, or installing SIM cards in telecommunications or technology settings. It may require technical skills, knowledge of mobile networks, and familiarity with related tools or software.

Which SIM job makes the most money?

In the telecommunications industry, senior SIM card technicians or specialists often earn the highest salaries, especially those with extensive experience or certifications. Management roles overseeing SIM card operations or network infrastructure can also command higher pay. Compensation varies based on location, experience, and employer size.

What is a SIM career?

A SIM career typically refers to a role involving simulation technology, such as training simulations, virtual environments, or modeling. These jobs often require skills in software development, engineering, or design, and may involve working with specialized simulation tools or platforms.

What are 'Sim' jobs?

A 'Sim' job typically refers to roles related to simulation, including simulation engineers, simulation technicians, or professionals who create and manage simulations for training, research, or testing purposes. These jobs are found in industries such as aerospace, healthcare, automotive, and defense. Simulation professionals use specialized software and models to replicate real-world scenarios, allowing organizations to analyze outcomes, improve designs, or train personnel safely and cost-effectively.

What jobs can you go to with your SIM?

A SIM card is used in mobile devices to access cellular networks, enabling jobs that require mobile communication, such as sales, delivery, or field service roles. It is not a job itself but a tool that supports communication for various jobs, often requiring a compatible device and network plan.

What are the main responsibilities of a Simulation Engineer in a typical workweek?

Simulation Engineers are responsible for designing, developing, and analyzing simulation models to test products, processes, or systems in a virtual environment. Throughout a typical week, they collaborate closely with design, engineering, and testing teams to gather requirements, implement simulation scenarios, and interpret results to guide decision-making. They often troubleshoot model issues, optimize performance, and document findings to ensure accuracy and effectiveness. This role frequently involves using specialized software and requires strong communication skills to translate technical results to stakeholders.

What is the difference between Sim vs Data Analyst?

AspectSimData Analyst
Required CredentialsTypically a degree in simulation, engineering, or related fieldsBachelor's degree in statistics, data science, or related fields
Work EnvironmentSimulation labs, engineering firms, or software companiesBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUsed in engineering, manufacturing, and software developmentUsed across various industries for data interpretation and reporting

Sim professionals focus on creating and analyzing simulations, often requiring engineering or technical degrees. Data Analysts interpret data sets to inform business decisions, usually with backgrounds in statistics or data science. While both roles involve data and analysis, Sim is more technical and engineering-oriented, whereas Data Analysts focus on business insights from data.

What are popular job titles related to Sim jobs in California? For Sim jobs in California, the most frequently searched job titles are:
What job categories do people searching Sim jobs in California look for? The top searched job categories for Sim jobs in California are:
What cities in California are hiring for Sim jobs? Cities in California with the most Sim job openings:
Sim jobs near you
Infographic showing various Sim job openings in California as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $127,968 per year, or $61.5 per hour.
Simulation Applications Engineer

Simulation Applications Engineer

OpenAI

San Francisco, CA • On-site

$230K - $385K/yr

Full-time

Posted 15 days ago

Job description

About the Team
Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives.
About the Role
We are hiring a Sim Application Engineer to turn simulation systems into reliable, automated, production-quality pipelines that power model training, evaluation, and hardware-in-the-loop validation. This role owns the automation, orchestration, and tool integration that apply simulation to concrete robotics tasks: building CI/CD for SIL/HIL, presubmit checks, automatic model evaluation, metric computation and reporting, and the runtime infrastructure to run simulations at scale. You will collaborate closely with Sim Realism, Sim Environments, Research, and Ops to make simulation an integrated, reproducible, and measurable part of our ML and robotics workflows.
This role is based in San Francisco, CA, and requires in-person 4 days a week.
In this role, you will:
  • Build and maintain presubmit checks, continuous integration and deployment pipelines for simulation code, environments, and tasks so simulation artifacts are testable, versioned, and reproducible.
  • Implement end-to-end automation to run model evaluation in sim (SIL) and orchestrate HIL runs; compute realism and task metrics, generate dashboards and alerts, and ensure evaluation is repeatable and auditable.
  • Create robust APIs and connectors so research, training, and data-collection systems can schedule, seed, and evaluate batches of simulations; support RL rollouts, imitation-data collection, and presubmit model checks.
  • Build scheduling, batching and orchestration for running very large numbers of concurrent rollouts (target tens of thousands of rollouts / large RL workloads), solve engine-level scaling (parallelization, batching multiple runs per engine), and optimize cloud/GPU runtime reliability.
  • Produce metrics and tooling for measuring simulation health, throughput, fidelity regressions, and cost; create presubmit / canary tests that catch sim regressions early.
  • Implement artifact versioning, environment immutability (images / asset versions), experiment provenance, and policies for resource quotas and cost control across the sim farm.
  • Work closely with Sim Environments, Sim Realism, research, and ops to close the loop-ensuring simulation improvements directly translate into better model evaluation and training results.

You might thrive in this role if you:
  • Have deep software engineering & infra experience: you've built CI/CD at scale, authored reliable pipelines, and shipped production services that coordinate many moving parts.
  • Are comfortable with distributed compute and cloud GPU workloads: you know how to get many sims running concurrently (scheduling, batching, GPU orchestration) and optimize throughput/cost.
  • Have built or maintained HIL/SIL workflows or other sim↔hardware integrations and understand the operational challenges of bridging software and hardware testbeds.
  • Are strong with automation, observability and metrics: you enjoy instrumenting systems, defining meaningful KPIs, and surfacing regressions early.
  • Can design APIs and developer ergonomics so research and SWE teams can easily submit jobs, reproduce experiments, and interpret results.
  • Have experience with Python/C++/Rust, container orchestration (Kubernetes), distributed task queues, and CI systems; bonus if you've worked with RL tooling, task generators, or large-scale data pipelines.
  • Enjoy collaborating across teams to turn experimental simulation work into dependable production tooling.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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