Robotics Simulation

Robotics Simulation Developer Jobs

2 jobs found

1d ago

Robotics Software Engineer

Noble Machines Sunnyvale, CA

Sunnyvale, CA

1d ago

$140k - $200k/yr Full time Python Automation Cloud Infrastructure

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Job Description

Noble Machines builds robotic platforms that demand software you can trust from first tests to field deployment. As a Robotics Software Engineer focused on simulation, you will develop and own simulation environments and infrastructure that enable development, validation, testing, and sim-to-real transfer. If you enjoy building high-fidelity virtual worlds to validate autonomy, control, and perception before hardware ever moves, this role in Sunnyvale, CA (onsite) offers a direct path to impact, along with equity options and comprehensive healthcare.

Responsibilities

Develop and maintain simulation workflows using Isaac Sim, Omniverse, Gazebo, or Mujoco to support integration and validation.
Build and iterate on high-fidelity simulation environments, digital twins, and synthetic data pipelines for autonomy and controls development.
Partner with hardware, autonomy, and test teams to deliver systems that are field-ready.

Requirements

4+ years of experience in robotics or distributed software development.
Strong proficiency in C++ (C++17+) and Python.
Experience working with simulation software such as Isaac Sim, Omniverse, or similar tools.
Solid understanding of ROS 2, lifecycle nodes, and DDS communication.
Experience building modular, distributed runtime or middleware systems.
Familiarity with containerized development including Docker, colcon, and CI/CD pipelines.
Proven experience building APIs, SDKs, or other developer-facing tools.
Strong communication and collaboration skills across engineering teams.

Technologies

Isaac Sim, Omniverse, Gazebo, Mujoco
C++, Python
ROS 2, Docker, colcon, CI/CD
DDS
APIs, SDKs, GitHub Actions, Jenkins, Kubernetes

Benefits

Equity options
Comprehensive healthcare benefits
Retirement plan contributions
Performance-based incentives

Nice to Have

Experience with robotics simulation environments such as Isaac Sim, Mujoco, or Gazebo.
Knowledge of behavior trees, system diagnostics, or safety frameworks.
Familiarity with orchestration tools including GitHub Actions, Jenkins, and Kubernetes.
Open-source contributions in ROS 2, robotics middleware, or developer tooling.

California Pay Transparency Statement

Pay Transparency & Compensation: In accordance with California's Pay Transparency Act (SB 1162), the expected base salary range for this position located in Sunnyvale, CA is $140,000 – $200,000 per year.
Actual compensation within this range will be determined based on several factors, including the candidate's qualifications, relevant experience, technical skills, and specialized expertise.
Base salary is just one component of Noble Machines' total rewards package, which may also include equity options, comprehensive healthcare benefits, retirement plan contributions, and performance-based incentives.

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2d ago

Autonomy Test and Evaluation Tools Software Engineer

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

2d ago

$100k - $245k/yr Full time Autonomous Systems Data Analysis Engineering

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Job Description

Johns Hopkins Applied Physics Laboratory (APL) is seeking an Autonomy Test and Evaluation Tools Software Engineer to help build simulation-based test and evaluation software for autonomous maritime platforms. This role focuses on creating high-fidelity simulation environments, verifying and validating autonomy decision-making, and connecting real-world field data with analysis in an agile prototyping workflow.

What you’ll do

Build end-to-end software tools for simulation-based test and evaluation (T&T&E), spanning requirements definition, architecture, implementation, and validation.
Design and develop high-fidelity simulation environments to assess autonomy algorithms under both nominal and off-nominal conditions.
Create approaches for verification and validation of decision-making systems, including coverage for edge cases and emergent behaviors.
Use data science, statistics, and machine learning techniques to evaluate system performance and develop new evaluation methods.
Plan and support field experiments, integrating real-world data with simulation-based analysis.
Work with multidisciplinary teams in an agile, rapid prototyping environment.

Basic qualifications

BS in Software Engineering, Computer Science, or a related technical field such as Robotics, Physics, or Mathematics.
5+ years of professional experience in software development using Python and/or C++.
Experience with full-lifecycle software development.
Experience or interest in autonomous systems, robotics, simulation, or test and evaluation.
Experience developing or working with simulation environments or modeling and simulation (M&S) tools.
Strong organizational and planning skills, including a track record of contributing effectively in team settings.
Ability to communicate clearly in both written and verbal formats.
Ability to obtain an interim Secret-level security clearance by your start date and ultimately obtain a Top Secret clearance.

Technologies you may work with

Python, C++, ROS, Gazebo, Unity

Compensation and location

Location: Laurel, MD (onsite)
Salary range: USD 100,000 - 245,000 per year
Annual salary note: Annual salary will be prorated based on the number of hours worked for salaried employees scheduled to work less than 40 hours per week.

Benefits

Comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development.
Robust education assistance program.
Unparalleled retirement contributions.
Healthy work/life balance.
Sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance.

Considered a plus

MS or PhD in Software Engineering, Computer Science, Robotics, or a related technical field.
Experience developing or evaluating autonomous systems, including decision-making, planning, or behavior-based autonomy.
Experience in simulation-based test and evaluation or M&S environments.
Experience with verification and validation (V&V) of complex or safety-critical systems.
Experience developing machine learning approaches such as reinforcement learning, imitation learning, or online/offline learning.
Experience integrating autonomy software into simulation frameworks (e.g., ROS, Gazebo, Unity, or similar environments).
Experience supporting or leading field testing of autonomous systems.
Active Top Secret security clearance.

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Robotics Simulation Developer Jobs

Robotics Software Engineer

Autonomy Test and Evaluation Tools Software Engineer

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