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Overnight Robotic Simulation Engineer Jobs (NOW HIRING)

1X Technologies AS

Simulation Engineer

San Carlos, CA · On-site

$119K - $203K/yr

About 1X We're building humanoid robots that work in home - doing the chores, handling the tasks ... About the Team The Simulation team enables faster, smarter engineering decisions by building ...

1X

Simulation Engineer

San Carlos, CA · On-site

$119.80 - $203.80/hr

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots ... As a Simulation Engineer at 1X Technologies, you will lead thermal and multi-body structural ...

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

$100 - $130/hr

... or robotics). * Strong Programming Skills: Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries. * Physics-Based Modeling: Strong understanding of first ...

Epoch Biodesign

Simulation Engineer

Redwood City, CA · On-site

$100 - $130/hr

... robotics). * Strong Programming Skills: Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries. * Physics‑Based Modeling: Strong understanding of ...

New

Optimal Inc.

Simulation Engineer

Warren, MI · On-site

Simulation Engineer to support GM ARC RTD Simulation testing workflow. PURPOSE ... Support the robotics software development team in establishing a daily simulation-testing workflow ...

Optimal Inc.

Simulation Engineer

Warren, MI · On-site

Simulation Engineer to support GM ARC RTD Simulation testing workflow ... PURPOSE: Support the robotics software development team in establishing a daily ...

XA.net

Simulation Engineer

Warren, MI · On-site

Simulation Engineer to support GM ARC RTD Simulation testing workflow. PURPOSE ... Support the robotics software development team in establishing a daily simulation-testing workflow ...

Optimal Inc.

Simulation Engineer

Embry Hills, GA

Simulation Engineer to support GM ARC RTD Simulation testing workflow. PURPOSE ... Support the robotics software development team in establishing a daily simulationtesting workflow ...

Lab37

Senior Simulation Engineer

Pittsburgh, PA · On-site

Who we are Lab37 Robotics is a technology company focused on the development and deployment of ... About the role Lab37 is hiring an industrial engineer specializing in discrete-event simulation to ...

Lab37

Senior Simulation Engineer

Pittsburgh, PA

Who we are Lab37 Robotics is a technology company focused on the development and deployment of ... About the role Lab37 is hiring an industrial engineer specializing in discrete-event simulation to ...

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Overnight Robotic Simulation Engineer information

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How much do overnight robotic simulation engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for overnight robotic simulation engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is an overnight robotic simulation engineer?

An Overnight Robotic Simulation Engineer is a professional who specializes in developing, testing, and maintaining robotic simulation systems during overnight shifts. They use advanced software to create virtual environments where robots can be tested for performance, safety, and efficiency without physical prototypes. Their work often supports continuous operations, allowing companies to accelerate development cycles and troubleshoot issues outside regular business hours. This role requires expertise in robotics, simulation software, and often some programming skills. Working overnight may also mean collaboration with global teams or providing support during off-peak hours.

What are the key skills and qualifications needed to thrive as an overnight robotic simulation engineer?

To thrive as an Overnight Robotic Simulation Engineer, you need a solid background in robotics, computer science, or engineering, often with a relevant degree and experience in simulation environments. Familiarity with simulation software such as ROS (Robot Operating System), Gazebo, and programming languages like Python or C++ is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for success in this role. These skills are important because they enable engineers to efficiently develop, test, and troubleshoot robotic systems during overnight shifts, ensuring continuous and reliable system performance.

What are the typical challenges faced by an overnight robotic simulation engineer, and how can they be addressed?

Overnight Robotic Simulation Engineers often encounter challenges such as debugging complex simulation scenarios with limited on-site support and maintaining high accuracy while working independently during off-hours. To address these, it's important to develop strong troubleshooting skills, document issues thoroughly for handover to the daytime team, and leverage remote collaboration tools to stay connected with colleagues. Proactive communication and a systematic approach to problem-solving help ensure smooth workflow and contribute to the continuous improvement of robotic systems.

What is the difference between Overnight Robotic Simulation Engineer vs Robotic Software Developer?

AspectOvernight Robotic Simulation EngineerRobotic Software Developer
CredentialsBachelor's in Robotics, Computer Science, or related field; experience with simulation toolsBachelor's in Computer Science, Software Engineering, or related; programming skills
Work EnvironmentDesigning and testing robotic simulations overnight, often in labs or officesDeveloping robotic software applications, typically in office or remote settings
Industry UsageRobotics manufacturing, research labs, automation companiesRobotics, automation, software firms, tech companies

The Overnight Robotic Simulation Engineer focuses on creating and testing robotic simulations during overnight shifts, emphasizing simulation tools and robotics knowledge. In contrast, the Robotic Software Developer primarily develops software applications for robots, often working during regular hours. Both roles require programming skills but differ in their core responsibilities and work hours.

What cities are hiring for Overnight Robotic Simulation Engineer jobs?

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What are the most commonly searched types of Robotic Simulation Engineer jobs?

The most popular types of Robotic Simulation Engineer jobs are:

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Overnight Robotic Simulation Engineer jobs near you

Principal Modeling and Simulation Engineer

Berkshire Grey

Bedford, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Minimum Qualifications:
Bachelor's degree in Computer Science, Robotics, Systems Engineering, or a closely related field.
8+ years of professional experience in software development with a focus on modeling, simulation, or complex systems.
Strong development expertise in Python and/or C++.
Demonstrated ability to:
  • Architect and deliver large-scale simulation and software systems
  • Operate autonomously and drive projects from concept to production
  • Define and communicate technical strategy, tradeoffs, and priorities
  • Navigate and contribute to large, complex codebases
  • Apply an MVP mindset while scaling solutions from prototype to production

Proficient in:
  • Simulation software development and system modeling frameworks
  • Emulate3D or Sim3D (Rockwell Automation) (required)
  • Nividia Omniverse
  • System design and software architecture
  • Asynchronous / concurrent programming
  • Git, Jira, and modern development workflows
  • Linux / Ubuntu environments
  • Code reviews, testing methodologies, and CI/CD practices
  • Software design patterns (modular, scalable, fault-tolerant systems)

Preferred Qualifications:
Experience in robotics, automation, or material handling systems.
Strong experience in one or more of the following:
  • Distributed systems and high-performance simulation environments
  • Robotics simulation, digital twins, and virtual commissioning
  • MBSE tools and methodologies
  • API and SDK development for simulation platforms
  • RESTful and/or gRPC services

Experience with:
  • Data analysis and performance profiling (Python, pandas, logging frameworks)
  • Containerization and orchestration (Docker, Kubernetes)
  • NoSQL databases (e.g., MongoDB)
  • Hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing

About The Job
Berkshire Grey is a leader in AI-powered robotics, delivering intelligent automation solutions for e-commerce, retail, and logistics. Our systems transform pick, pack, and sort operations through advanced robotics and software.
In the role of Principal Modeling and Simulation Engineer, you will lead the development of high-fidelity simulation platforms and digital twins that drive system design, validation, and deployment. This role blends advanced software engineering with modeling and simulation, enabling rapid development, testing, and optimization of complex robotic systems.
You will define and build the simulations that support system-level decision making, accelerate product development, and ensure robust performance in real-world environments.
Responsibilities
  • Architect, design, and develop scalable simulation software systems for robotic and automation solutions.
  • Lead the development and integration of sim environments using tools such as Emulate3D / Sim3D.
  • Design and implement simulation frameworks, APIs, and services that integrate with production robotic software systems.
  • Apply MBSE principles to define system behavior, interfaces, and performance characteristics within simulation environments.
  • Build high-performance, reliable software for system-level modeling, validation, and optimization.
  • Collaborate closely with robotics, perception, controls, and applications teams to ensure alignment between simulation and real-world system behavior.
  • Develop tools and infrastructure for testing, debugging, and validating robotic systems in simulation.
  • Provide technical leadership and mentorship, establishing best practices in simulation and software engineering.
  • Influence engineering strategy and roadmap for modeling, simulation, and system architecture.
  • Analyze system performance, identify risks, and develop mitigation strategies through simulation-driven insights.
  • Communicate technical direction, progress, and tradeoffs to stakeholders across engineering and product teams.

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