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Overnight Robotic Simulation Engineer Jobs in Boston, MA

Merlin Labs

Staff Simulation Platform Engineer

Boston, MA · On-site

$180K - $240K/yr

We are seeking a Staff Simulation Platform Engineer to design and build the next-generation ... robotics) * Experience designing scenario-based validation systems * Familiarity with SIL/HIL ...

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Overnight Robotic Simulation Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

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

As of Sep 5, 2026, the average yearly pay for overnight robotic simulation engineer in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 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 are the most commonly searched types of Robotic Simulation Engineer jobs in Boston, MA?

The most popular types of Robotic Simulation Engineer jobs in Boston, MA are:

Overnight Robotic Simulation Engineer jobs near you

Senior Software Engineer, Multiagent Simulation

FieldAI

Boston, MA

$125K - $170K/yr

Full-time

Re-posted 4 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

FieldAI is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team.
What You Will Get To Do
  • Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
  • Integrate physics, perception, and comms models so agents behave realistically at fleet scale.
  • Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
  • Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.
  • Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.
  • Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.
  • Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).
  • Maintain reproducible experiment infrastructure with versioned scenes, configs, and results.
  • Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.
What You Bring
  • MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
  • 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
  • Proficiency in Python and C++; comfort reading and extending large codebases.
  • Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).
  • Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
  • Familiarity with standard robotics middleware.
  • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
  • Ability to translate research into practical, field-deployable systems.
What Will Set You Apart
  • Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL).
  • Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale.
  • Background in distributed systems or cloud-based simulation orchestration.
  • Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).Contributions to open-source robotics or simulation frameworks.

Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.

In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.

Why Join Field AI?
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
 
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
 
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
 
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
 
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.