1

Overnight Robotic Simulation Engineer Jobs (NOW HIRING)

... 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 ...

... 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 ...

Understand and strictly follow the standards and specifications for the robotic simulation and/or ... Able to do Advanced Programming in the two robots they have the most knowledge. * Very proficient ...

Understand and strictly follow the standards and specifications for the robotic simulation and/or ... Able to do Advanced Programming in the two robots they have the most knowledge. * Very proficient ...

Robotics Autonomy Engineer: Simulation

Irvine, CA ยท On-site +1

$70K - $300K/yr

We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our ...

Understand and strictly follow the standards and specifications for the robotic simulation and/or ... Able to do Advanced Programming in the two robots they have the most knowledge. * Very proficient ...

Robotics Autonomy Engineer: Simulation

Irvine, CA ยท On-site +1

$70K - $300K/yr

We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our ...

next page

Showing results 1-20

Overnight Robotic Simulation Engineer information

See salary details

$29K

$105.6K

$169K

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

As of Jun 1, 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 are the key skills and qualifications needed to thrive as an Overnight Robotic Simulation Engineer, and why are they important?

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 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 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? Cities with the most Overnight Robotic Simulation Engineer job openings:
What are the most commonly searched types of Robotic Simulation Engineer jobs? The most popular types of Robotic Simulation Engineer jobs are:
What states have the most Overnight Robotic Simulation Engineer jobs? States with the most job openings for Overnight Robotic Simulation Engineer jobs include:

Simulation Engineer

Hammerhead AI

Redwood City, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

About Hammerhead

We're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.

At Hammerhead, you will:
โšก Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure
๐Ÿค Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies
๐ŸŒŽ Contribute to building a more efficient and sustainable future for AI compute.
๐Ÿš€ Join a company at the cutting edge of modern data center design and operation
๐Ÿ’ฐ Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.

๐Ÿš€Learn from an experienced team that has built and sold startups before

Learn more about Hammerhead
  • These AutoGrid alums want to change how data centers use power

  • How Hammerhead Wants to Rewrite the Economics of AI

  • News & Blogs

Role Description

As an AI/ML Simulation Engineer, you will build the virtual world where our intelligence is born. You will be responsible for creating and scaling high-fidelity digital twins of physical data center environments. These simulations are the critical training ground for our Orchestrated RL Control Agents (ORCA). Reporting to the CTO, you will model the complex interplay of power, thermal dynamics, and computation. Your work will enable our RL Engineers to safely and rapidly develop control agents that can be deployed with confidence into live, mission-critical facilities.

Key Responsibilities
  • Digital Twin Development: Architect and build high-fidelity, physics-based simulations of data center components, including cooling systems, power distribution units, and server racks.โ€‹

  • Simulation Platform Integration: Integrate individual asset models into a comprehensive, scalable simulation platform that represents entire data center environments.

  • Model Validation: Develop methodologies to validate simulation accuracy against real-world operational data, ensuring our digital twins faithfully represent physical reality.

  • AI Training Environments: Create and maintain the infrastructure and APIs that allow Reinforcement Learning engineers to train and evaluate control agents at scale within the simulation.

  • Performance Optimization: Ensure the simulation platform is fast, scalable, and efficient to accelerate the AI/ML development lifecycle.

Qualifications
  • Digital Twin Experience: 3+ years of professional experience in developing digital twins or high-fidelity simulations for complex physical systems (e.g., in energy, aerospace, manufacturing, 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-principles modeling, with experience capturing the dynamics of physical systems (thermal, electrical, or mechanical).

  • ML/AI Exposure: Familiarity with the lifecycle of machine learning models and experience creating environments for training and testing AI agents.

  • Educational Background: MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics.

  • Problem Solver: A practical mindset, able to abstract complex physical interactions into computationally efficient models and troubleshoot discrepancies between simulation and reality.

What We Offer
  • Competitive salary, bonus, 401(k) plan and equity in a rapidly growing startup

  • Comprehensive health, dental, and vision coverage

  • Opportunity to apply the latest AI technologies working with an experienced team

Join our team to shape the foundation of tomorrowโ€™s AI infrastructure

Visit our Careers page at (hammerheadco dot ai / careers) to apply