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Simulation Phd Jobs in California (NOW HIRING)

Freeform

Senior Simulation Engineer

Los Angeles, CA · On-site

MS or PhD in applied mathematics, physics, computer science, mechanical engineering, or a related field * Experience with real-time or near-real-time simulations on GPU or parallel computing ...

Freeform

Senior Simulation Engineer

Los Angeles, CA · On-site

MS or PhD in applied mathematics, physics, computer science, mechanical engineering, or a related field * Experience with real-time or near-real-time simulations on GPU or parallel computing ...

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics. * Problem Solver ... simulation and reality. What We Offer * Competitive salary, bonus, 401(k) plan and equity in a ...

HammerheadAI

Simulation Engineer

Redwood City, CA · On-site

MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics. * Problem Solver ... simulation and reality. What We Offer * Competitive salary, bonus, 401(k) plan and equity in a ...

1X

Software Engineer - Simulation

San Carlos, CA · On-site

... MS or PhD) in Computer Science or a related field Preferred : • Knowledge of extrinsic and ... diverse simulation data production • Familiarity with differentiable simulation or GPU ...

Freeform

Simulation Engineer

Los Angeles, CA

A PhD in one of the above fields in lieu of industry experience * Demonstrated experience writing low-level numerical solvers for physical simulations * Strong programming skills in C, C++, or CUDA

Freeform

Simulation Engineer

Los Angeles, CA · On-site

A PhD in one of the above fields in lieu of industry experience * Demonstrated experience writing low-level numerical solvers for physical simulations * Strong programming skills in C, C++, or CUDA

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Simulation Phd information

What are the typical research collaboration opportunities available to a Simulation PhD within academia or industry?

Simulation PhD holders often work closely with multidisciplinary teams, including engineers, computer scientists, and domain experts, to develop and validate complex models. In academia, collaboration may involve joint research projects, co-authored publications, or participation in research consortia. In industry, Simulation PhDs might partner with product development teams, data analysts, or IT professionals to solve real-world problems and optimize processes. These collaborations not only enhance research impact but also provide valuable networking and career advancement opportunities.

What is a Simulation PhD?

A Simulation PhD is a doctoral degree focused on the development, application, and analysis of simulation techniques across various fields such as engineering, physics, computer science, or healthcare. Students in this program conduct advanced research to create or improve models that simulate real-world processes or systems. The degree typically involves coursework, comprehensive exams, and an original dissertation contributing new knowledge to the field of simulation. Graduates often pursue careers in academia, research, industry, or government, where they apply simulation to solve complex problems.

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

To thrive as a Simulation PhD, you need advanced expertise in simulation modeling, mathematics, and data analysis, usually supported by a doctoral degree in a relevant field such as engineering or computer science. Proficiency with technical tools like MATLAB, Simulink, Python, or specialized simulation software, along with experience in programming and statistical analysis, is essential. Strong problem-solving skills, critical thinking, and effective communication are crucial soft skills for collaborating with interdisciplinary teams and presenting complex results. These abilities are important to drive innovation, ensure accurate research outcomes, and translate simulation results into practical solutions.
What job categories do people searching Simulation Phd jobs in California look for? The top searched job categories for Simulation Phd jobs in California are:
What cities in California are hiring for Simulation Phd jobs? Cities in California with the most Simulation Phd job openings:
Simulation Phd jobs near you

Staff Simulation Engineer - Core Simulation Platform

Apptronik

Sunnyvale, CA

Other

Re-posted yesterday

Job description

JOB SUMMARY

At the core of every robot policy we ship is a simulation platform that has to be fast enough for RL training, accurate enough for controls validation, and stable enough to be the team's daily driver. As Staff Simulation Engineer for Core Simulation Platform, you'll contribute to the architecture and development of that platform alongside senior team members, applying strong C++ and Python skills, robotics fundamentals, and modern simulator experience to keep the platform robust, performant, and parallel.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Contribute to the architecture and development of the core simulation platform - high-performance digital twins that serve as the foundation for policy training, controls validation, and CI/CD integration testing.
  • Help build and scale cloud-native simulation pipelines capable of generating millions of experience hours per day, parallelizing physics and rendering for rapid policy iteration.
  • Improve sim-to-real transfer through advanced contact models and actuator dynamics that help policies trained in simulation transfer to physical humanoid hardware.
  • Develop sensor-realistic environments (camera, LiDAR, depth) that challenge the perception stack with dynamic and diverse worlds.
  • Ship platform improvements that visibly reduce iteration time for RL, controls, and perception teams.
  • Work with Controls, AI Research, and Perception teams to support their evolving simulation needs as the platform grows.

SKILLS AND REQUIREMENTS

  • Excellent C++ and/or Python programming skills
  • Familiar with software development best practices: CI/CD, automated testing, and code quality standards
  • Understanding of robotics concepts: kinematics, dynamics, controls, system identification
  • Experience with modern robotic simulators (Isaac Lab, MuJoCo, or equivalent)
  • Understanding of Reinforcement Learning with research or production experience
  • Experience with large-scale training workloads - deploying parallel simulations on cloud platforms (AWS, GCP, Azure) with distributed computing frameworks (e.g., Ray, Kubernetes)

EDUCATION and/or EXPERIENCE

  • Master's or PhD in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent experience)
  • 8+ years of experience in robotic simulation, software engineering, or related fields

PHYSICAL REQUIREMENTS:

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate

Apply