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Staff Simulation Engineer - Core Simulation Platform

Apptronik

Sunnyvale, CAJob$260–290K/yrPosted 1w agoStill listed 3 days ago

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At a glance

Compensation
$260–290K/yr
Location
Sunnyvale, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Apptronik is developing a core simulation platform for its Apollo humanoid robot, supporting policy training, controls validation, and integration testing. The Staff Simulation Engineer will contribute to platform architecture and development, scale cloud-native simulation pipelines, improve sim-to-real transfer, and develop sensor-realistic environments. The role works with Controls, AI Research, and Perception teams to improve simulation capabilities and iteration speed.

Skills & qualifications

RequiredNice to have

Skills

C++PythonCI/CDAutomated TestingCode Quality StandardsRoboticsKinematicsDynamicsControlsSystem IdentificationRobotic SimulatorsReinforcement LearningVLAsCloud PlatformsDistributed ComputingRayKubernetes

Qualifications

Master's or PhD in CS, Robotics, EE or Related5+ Years Robotic Simulation or Related Experience

Full job description

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

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 and VLAs, 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)

  • 5+ 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

The annual salary range is $260,000 - $290,000

*This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

How this job compares

Set against the 508 open Simulation Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$260–290K/yr
  • California median$150–233K/yr131 salary ranges
  • US median$130–200K/yr363 salary ranges

This range's midpoint, $275K, is 42% above the California median midpoint ($194K) — in the top quarter of Simulation Engineer salary ranges in California.

Openings
Olive Jobs lists 173 open Simulation Engineer jobs in California and 508 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Simulation Engineer postings that state a minimum ask for 5 years at the median (411 postings).
Education
212 of the 508 open Simulation Engineer jobs (42%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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