ZipRecruiter

Log In

1

Simulation Software Engineer Jobs in Sunnyvale, CA

PlusAI

Software Engineer, Simulation

Santa Clara, CA · On-site

$120K - $150K/yr

Have an opportunity to tackle simulation and autonomy evaluation challenges across various areas of the autonomy system, including motion planning, mapping, Controls. * Create and extend software for ...

Etched

Chip Simulation Software Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... The roles Our chip simulation and tooling role will co-design, develop, and test simulations of our ...

previous page

Showing results 41-60

All JobsSimulation Software Engineer JobsSimulation Software Engineer Jobs in Sunnyvale, CA

Simulation Software Engineer information

See Sunnyvale, CA salary details

$86.8K

$161.8K

$231.2K

How much do simulation software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for simulation software engineer in Sunnyvale, CA is $161,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $190,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Simulation Software Engineer, you need strong skills in computer science, mathematics, and physics, often backed by a degree in engineering or a related field. Experience with simulation frameworks (like MATLAB, Simulink, or ANSYS), programming languages (such as C++, Python), and relevant certifications such as Certified Modeling and Simulation Professional (CMSP) are commonly sought. Effective problem-solving, attention to detail, and clear communication are vital soft skills in this role. These competencies enable the accurate development of complex simulations, efficient collaboration with multidisciplinary teams, and effective translation of real-world processes into reliable software models.

Are simulation software engineers in demand?

Simulation software engineers are in high demand across industries such as aerospace, automotive, and defense, where advanced modeling and simulation are critical. The role often requires proficiency in programming languages like C++ or Python and familiarity with simulation tools, with employment opportunities growing as technology advances and companies seek to optimize design and testing processes.

What does a simulation software engineer do?

A Simulation Software Engineer designs, develops, and maintains software that models real-world systems, allowing for testing and analysis without physical prototypes. They work with mathematical models, algorithms, and programming languages to create accurate simulations for industries like aerospace, automotive, healthcare, and finance. Their responsibilities may include optimizing performance, integrating with hardware, and validating results to ensure accuracy.

What are popular job titles related to Simulation Software Engineer jobs in Sunnyvale, CA? For Simulation Software Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Simulation Software Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Simulation Software Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Simulation Software Engineer jobs? Cities near Sunnyvale, CA with the most Simulation Software Engineer job openings:
Simulation Software Engineer jobs near you
Infographic showing various Simulation Software Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $161,783 per year, or $77.8 per hour.

Software Engineer - Simulation

1X Technologies AS

San Carlos, CA • On-site

$200K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

About 1X
We're building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it's not.
To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you're inspired by this, you'll thrive here. We've been at this since 2014 and we're at the point where the hard problems are behind us and the hard work is in front of us.
NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We're not demoing it - we're shipping it. We're excited to meet you, if this excites you.
If you've spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.
About the Team
The Simulation team builds the virtual environments and infrastructure that let 1X's AI team iterate on robot learning without being bottlenecked by real hardware. We construct physically realistic simulation worlds for NEO, scale synthetic data production, close the sim-to-real gap, and prototype new hardware virtually before it's manufactured. Our work is a force multiplier for every research and development team at 1X: the faster and more faithfully we can simulate NEO's world, the faster the whole company learns.
Your Charter
Build and maintain the simulation environments and real-time infrastructure that accelerate robot learning at 1X, reducing dependence on physical robot evaluations, scaling synthetic data production, and ensuring policies trained in simulation transfer reliably to real hardware. This is critical-path infrastructure: the AI team's iteration speed, the hardware team's ability to prototype, and the quality of training data all depend on simulation environments that are physically realistic, fast, correct, and well-maintained. You will own both the environments themselves and the systems that make them useful at scale.
Key Outcomes
  • Deliver diverse, physically realistic simulation environments for NEO that enable the AI team to develop and evaluate new policies without requiring real robot time for every iteration
  • Measurably narrow the sim-to-real gap through domain randomization, calibration, and environment fidelity improvements, such that policies trained in simulation transfer reliably to deployed hardware
  • Scale synthetic data production to meet the AI team's training needs, with infrastructure that generates diverse, high-quality simulation data efficiently and reproduces environments reliably
  • Enable the hardware team to prototype and virtually test new robot hardware in simulation before manufacturing, reducing design iteration cycles and surfacing issues earlier

Key Competencies
  • Physics simulation depth understanding what makes a simulator physically accurate and computationally tractable; knows how to tune contact dynamics, articulated body models, and rendering fidelity for robot learning applications
  • Sim-to-real instincts having practical experience narrowing the gap between simulated and real behavior; knows which differences matter for policy transfer and which can be addressed through domain randomization
  • Performance-oriented engineer optimizing physics and rendering pipelines to maximize simulation throughput; thinks carefully about the tradeoff between fidelity and speed for different use cases
  • Rigorous infrastructure builder writing tested, maintainable simulation code that other teams can depend on; treats correctness and reliability of the simulation stack as a first-class engineering concern

Minimum Requirements
  • 4+ years of experience programming in Python, C++, or similar languages, with experience building environments or benchmarks using robotics simulators (MuJoCo, PyBullet, Isaac Sim, or equivalent)
  • Experience improving the performance of physics simulators or OpenGL rendering pipelines
  • Strong testing practices for simulation stacks used in robot learning-comfortable writing tests that verify physical correctness and catch regressions
  • Advanced degree (MS or PhD) in Computer Science or a related field

Preferred Skills
  • Knowledge of extrinsic and intrinsic calibration algorithms for robotics, and experience using calibration to improve sim-to-real fidelity
  • Experience with domain randomization, procedural environment generation, or other techniques for scaling diverse simulation data production
  • Familiarity with differentiable simulation or GPU-accelerated physics (Warp, JAX-based simulators) for high-throughput parallel training
  • Background in legged locomotion, dexterous manipulation, or contact-rich robotics where simulation accuracy is most critical

Compensation
$200,000 - $280,000 + Equity
Benefits
  • Comprehensive medical, dental, and vision coverage
  • Generous paid time off, company holidays, and parental leave
  • 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
  • Commuter benefits (transit and parking)
  • Short-term and long-term disability, and life insurance
  • Employee Assistance Program (EAP) for mental health, financial, and personal support
  • Onsite snacks and catered lunches

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.

Apply