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At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our teams worldwide,and having fun in the process! You&#39;ll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.</p>\n<p>**Internship Experience:&quot;</p>\n<ul>\n<li>Conduct an in-depth robotics workflow gap analysis by comparing Ansys capabilities with leading robotics stacks such as ROS2, Gazebo/Ignition, Isaac Sim, and Drake. And achieve any possible combination of the below three objectives.</li>\n<li>Develop co-simulation prototypes that connect Ansys Mechanical/Motion/Twin Builder with ROS2 topics or Isaac Sim, leveraging USD, URDF, and real-time data exchange methodologies.</li>\n<li>Build a cutting-edge system-level dynamic model of robot including kinematics, multibody dynamics, actuator models, and control loops for both manipulators and mobile robots.</li>\n<li>Explore physics-informed AI by utilizing Ansys simulations for synthetic dataset generation and reinforcement-learning training pipelines, enabling the creation of &quot;Sim Ready&quot; assets. Then, build proof-of-concept for the Sim Ready assets.</li>\n<li>Deliver a comprehensive technical report, demo scripts, and integration examples to support adoption by robotics OEMs and industry partners.</li>\n</ul>\n<p>**What You’ll Need:&quot;</p>\n<ul>\n<li>Currently pursuing a Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a related field in the penultimate or final year of study.</li>\n<li>Solid understanding of robotics concepts in core-physics like MBD (Multibody Dynamics), Structural mechanics, Controls, etc.  and in AI-ML Integration like ROS2, Gazebo/Ignition, Isaac Sim, or similar robotics platforms.</li>\n<li>Experience with physics-based simulation tools (e.g., Ansys Mechanical, Twin Builder) and familiarity with URDF/robot modeling standards is a plus.</li>\n<li>Bonus qualification - hands-on robotics lab experience, including building, testing, or integrating robotic systems.</li>\n<li>Proficiency in programming languages such as Python and C++.</li>\n<li>Strong analytical, problem-solving, and communication skills, with a collaborative and creative mindset.</li>\n</ul>\n<p>**Key Program Facts:&quot;</p>\n<ul>\n<li><strong>Program Length:</strong> 12 weeks</li>\n<li><strong>Working Model:</strong> Remote</li>\n<li><strong>Full-Time/Part-Time:</strong> Full-Time</li>\n<li><strong>Start Date:</strong> May or June 2026</li>\n</ul>\n<p>**Salary Information:&quot;</p>\n<p>The base salary range across the U.S. for this role is between $32.00-$48.00 per hour. 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We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_91980b56-1ca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Helpshift","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/F8F0C7DBEE","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["UNIX-like operating systems","containerisation technologies","security in CI/CD pipelines","FOSS tools","Cloud Computing platforms","IaaC tools","automation mindset","complex systems","communication and documentation skills"],"x-skills-preferred":["Python","Shell","Java","Clojure","IntelliJ","VSCode","Emacs IDE","CLI tools","systematic problem-solving approach"],"datePosted":"2026-03-09T10:52:55.345Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"UNIX-like operating systems, containerisation technologies, security in CI/CD pipelines, FOSS tools, Cloud Computing platforms, IaaC tools, automation mindset, complex systems, communication and documentation skills, Python, Shell, Java, Clojure, IntelliJ, VSCode, Emacs IDE, CLI tools, systematic problem-solving approach"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d3f7efba-55c"},"title":"Simulation Environments Engineer","description":"<p><strong>Simulation Environments Engineer</strong></p>\n<p><strong>About the Team</strong></p>\n<p>Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.</p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a <strong>Simulation Environments Engineer</strong> to build the tooling and infrastructure that enable high-coverage, realistic virtual environments for robotics research and evaluation. This role is focused on _creating the systems_ (not necessarily hand-crafting every asset) that let researchers and engineers describe, visualize, generate, and validate task environments at scale. You will design pipelines for importing and vetting 3rd-party content, author procedural and randomized scenario generators, and ship ergonomic tools that make environment creation fast, repeatable, and testable. This role sits at the intersection of game-engine practice, asset engineering, and large-scale simulation infrastructure.</p>\n<p><strong>This role is based in San Francisco, CA, and requires in-person 3 days a week.</strong></p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build interactive and programmatic tooling to describe, preview, and validate scenes and tasks so researchers can author scenarios quickly and repeatedly.</li>\n</ul>\n<ul>\n<li>Create content pipelines to curate, convert, optimize and quality-check assets (visual + collision) from third-party collections and internal sources; define standards so assets behave predictably across engines and tasks.</li>\n</ul>\n<ul>\n<li>Implement robust importers and adapters that bring environments and setups from Isaac/Unity/Unreal/Omniverse/other repos into our sim pipelines while preserving fidelity and ensuring performance.</li>\n</ul>\n<ul>\n<li>Build frameworks for procedural generation and controlled randomization (visual, physical, kinematic) so models see a systematic, measurable variety of conditions.</li>\n</ul>\n<ul>\n<li>Define and enforce quality gates for environments (visual fidelity, collision correctness, physical plausibility) and instrument validation tooling so environments meet realism/coverage goals.</li>\n</ul>\n<ul>\n<li>Connect environment tooling to CI/CD, presubmit checks, large-scale simulation farms and model-eval pipelines so environments can be tested automatically and run at scale. (You’ll partner with sim-pipelines and sim-realism owners.)</li>\n</ul>\n<ul>\n<li>Create processes and templates to onboard new object libraries and contracted asset work; provide clear acceptance tests and automation for vendor deliverables.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Enjoy building ergonomic tooling that empowers other engineers and researchers to produce high-quality environments quickly.</li>\n</ul>\n<ul>\n<li>Have practical experience with modern world engines (NVIDIA Isaac Sim, Unity, Unreal Engine, Omniverse) or equivalent production pipelines and can choose and integrate the right platform for each use case.</li>\n</ul>\n<ul>\n<li>Are comfortable with the full content pipeline: CAD/asset import, USD/GLTF/FBX/texture workflows, collision mesh generation, LODs, and material/physics metadata.</li>\n</ul>\n<ul>\n<li>Have built or used procedural generation and domain randomization systems to produce broad, task-relevant variability.</li>\n</ul>\n<ul>\n<li>Care about quality control and validation — you like to design automated checks and visual/quantitative diagnostics that ensure environments are correct and performant.</li>\n</ul>\n<ul>\n<li>Can collaborate across functions — you’ll work closely with researchers, physics/realism engineers, SWE/RE, and vendors to ensure environments are both realistic and actionable for ML training and evaluation.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d3f7efba-55c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/39cd0dd8-520d-4932-80bf-7495a1d1d11b","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["modern world engines","NVIDIA Isaac Sim","Unity","Unreal Engine","Omniverse","procedural generation","domain randomization","CAD/asset import","USD/GLTF/FBX/texture workflows","collision mesh generation","LODs","material/physics metadata"],"x-skills-preferred":["game-engine practice","asset engineering","large-scale simulation infrastructure"],"datePosted":"2026-03-06T18:42:13.611Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"modern world engines, NVIDIA Isaac Sim, Unity, Unreal Engine, Omniverse, procedural generation, domain randomization, CAD/asset import, USD/GLTF/FBX/texture workflows, collision mesh generation, LODs, material/physics metadata, game-engine practice, asset engineering, large-scale simulation infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a290e7c-1e1"},"title":"Simulation Realism Engineer","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Simulation Realism Engineer</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Research</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.</p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions — from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands-on engineering role that blends scientific rigor (measurement &amp; validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines).</p>\n<p><strong>This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Define and operationalize realism metrics &amp; protocols. Design experiments and automated tests to find specific areas of non-realism, quantify gaps, and track regressions over time.</li>\n</ul>\n<ul>\n<li>Fine-tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality.</li>\n</ul>\n<ul>\n<li>Evaluate, integrate, and — where necessary — extend 3rd-party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo, video renderers or sensor sim frameworks). Lead vendor POCs and benchmark features to influence roadmaps.</li>\n</ul>\n<ul>\n<li>Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties; implement semi- or fully-automated pipelines to tune and optimize assets for target engines.</li>\n</ul>\n<ul>\n<li>Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations (batching many runs per engine instance), and harden real-world-facing pipelines so sims can run reliably at scale.</li>\n</ul>\n<ul>\n<li>Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance.</li>\n</ul>\n<ul>\n<li>Document and scale best practices. Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong mathematical &amp; physics background — rigid/soft-body dynamics, contact mechanics, or FEA — and are comfortable reasoning about solvers and numerical stability.</li>\n</ul>\n<ul>\n<li>Have hands-on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent), and know how to measure/interpret their failure modes.</li>\n</ul>\n<ul>\n<li>Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real-time loading, and rendering pipelines.</li>\n</ul>\n<ul>\n<li>Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware-in-the-loop regression tests, or digital twin efforts.</li>\n</ul>\n<ul>\n<li>Experienced building robust tools and processes — CI for sims, asset validation pipelines, or distributed GPU workloads — and care about documentation and ergonomics that let others be productive.</li>\n</ul>\n<ul>\n<li>Can collaborate broadly: you want to work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is a technology company focused on developing and applying artificial intelligence (AI) to various domains, including robotics and simulation. Our mission is to ensure that AI benefits humanity, and we are committed to advancing the state of the art in AI research and development.</p>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and talented individual who is passionate about simulation and robotics, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects that demonstrate your skills and experience. We look forward to reviewing your application and discussing this opportunity further.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3a290e7c-1e1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/e2e59dcf-1017-45c5-8e6e-509a5812959b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $385K","x-skills-required":["Simulation","Robotics","Physics","Mathematics","Programming","Software Development","Cloud Computing","GPU","Machine Learning","Artificial Intelligence"],"x-skills-preferred":["MuJoCo","PhysX","Isaac Sim","Newton","GPU renderers","Sensor sim frameworks","CAD/asset import","Collision/visual mesh tradeoffs","Contact tuning","Real-time loading","Rendering pipelines"],"datePosted":"2026-03-06T18:42:04.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Simulation, Robotics, Physics, Mathematics, Programming, Software Development, Cloud Computing, GPU, Machine Learning, Artificial Intelligence, MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, Sensor sim frameworks, CAD/asset import, Collision/visual mesh tradeoffs, Contact tuning, Real-time loading, Rendering pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":385000,"unitText":"YEAR"}}}]}