Embodied AI / Simulation Engineer

About Our TeamJoin our innovative Robotics team at OpenAI, where we are dedicated to pioneering general-purpose robotics and advancing towards AGI-level intelligence in dynamic, real-world environments. By working across the entire model stack, we seamlessly integrate state-of-the-art hardware and software to explore a wide variety of robotic form factors. Our mission is to harmoniously combine advanced AI capabilities with the constraints of physical systems, ultimately enhancing the lives of individuals worldwide.About the RoleWe are on the lookout for a passionate Simulation Realism Engineer to lead our initiative in achieving quantitative realism in simulation for robotics research and product development. You will be responsible for devising strategies, tools, and operational practices that bridge the sim-to-real gaps across physics, sensors, and rendering. Collaborating cross-functionally with research, software, hardware, and operations teams, you will identify key realism gaps, establish measurable realism metrics, and deliver impactful engineering solutions — from fine-tuning engine parameters and setting asset standards to integrating third-party engines and managing simulations at scale. This hands-on engineering role combines scientific precision (measurement & validation) with practical systems work (tooling, cloud ops, and CI/HIL pipelines).This position is based in San Francisco, CA, with a requirement of 4 days in the office per week. Relocation assistance is available for new hires.Your Responsibilities:Establish and operationalize realism metrics & protocols. Design experiments and automated tests to identify specific areas of non-realism, quantify gaps, and monitor regressions over time.Optimize engine parameters (contacts, friction, mass/density, solver settings) and object models to ensure simulated dynamics align with real-world measurements.Assess, integrate, and where necessary, extend third-party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo). Lead vendor proof of concepts and benchmark features to inform roadmaps.Develop standards and guidelines for authoring and validating asset physical/visual properties; implement semi- or fully-automated pipelines to tune and optimize assets for target engines.Resolve technical challenges related to running engines in the cloud (OS, drivers, GPU), parallelize simulations (batch multiple runs per engine instance), and fortify real-world-facing pipelines to ensure reliable simulation at scale.Lead validation campaigns (teleoperation, HI...) to verify simulation accuracy and performance.

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robot for every household.Located in the heart of San Francisco, our dedicated team consists of talented engineers, designers, and operators with backgrounds from industry leaders like Tesla, Cruise, OpenAI, Google, and Pixar. Our collective experience includes delivering products to hundreds of millions of users, and we understand what it takes to craft extraordinary products and experiences.Our lean team structure fosters rapid decision-making and minimizes bureaucracy, allowing every individual to take ownership and responsibility. We embrace a culture of rapid iteration and swift execution, encouraging collaboration across various domains.Ideal Candidate TraitsWe seek candidates who exhibit exceptional sharpness and the ability to thrive in fast-paced, high-stakes environments. Throughout the hiring process, candidates should demonstrate:Exceptional mental acuity: Quick thinkers who can learn rapidly and navigate unfamiliar challenges.Engineering curiosity: A natural inclination to explore how systems operate, even beyond one's area of expertise.High-performance mindset: Ability to adapt swiftly, manage ambiguity, and excel in demanding situations.Role Overview: Simulation EngineerAs a Simulation Engineer, you will be responsible for developing and enhancing the simulation systems that drive our robotics development workflow. This includes implementing new simulation features, adjusting framework internals, and leveraging tools such as Isaac or MuJoCo to accurately replicate complex real-world behaviors.RequirementsProficient coding skills in Python and/or C++.Significant experience with Isaac or MuJoCo, including making substantial framework-level modifications and developing new functionalities.A strong academic or open-source background: high-quality datasets, public code contributions, a robust GitHub presence, and publications as a primary author.Key ResponsibilitiesDevelop new simulation features while extending the core physics and engine internals.Design high-fidelity simulations of robotic systems and their environments.Work collaboratively with cross-functional teams in robotics, perception, and platform domains to ensure simulation precision and scalability.Drive rapid execution and iteration on simulation improvements.

Why You Should Consider Joining DoppelAt Doppel, we are dedicated to combating one of the most pressing challenges posed by AI: the rise of mass-manufactured social engineering. With an alarming increase in scams, deepfakes, and various social engineering tactics infiltrating every digital platform—be it websites, social media, advertisements, or encrypted messaging applications—our mission is both straightforward and ambitious: to enhance internet safety by outsmarting the most rapidly evolving digital threats.Supported by leading investors and trusted by some of the world’s most prestigious brands, Doppel is on an exhilarating growth trajectory. If you are passionate about tackling real-world issues with innovative technology, we would be thrilled to connect with you.Our VisionWe are developing an AI-driven social engineering defense platform.This entails creating scalable systems that surveil billions of domains, social media accounts, applications, dark web forums, and more, utilizing AI agents to detect and mitigate digital threats.Your RoleWe are seeking a skilled full-stack engineer to contribute to the development of our innovative Simulation product. The Simulation team operates like a startup within a startup, within Doppel (a Series C company backed by Bessemer and a16z) and has already surpassed six figures in revenue shortly after launch, with a trajectory aiming for 1M ARR in Q4.Our goal is to empower businesses to proactively defend against the forthcoming wave of social-engineering attacks. We are crafting AI-driven phishing simulations that employ advanced language models and voice synthesis to replicate authentic threats—ranging from highly personalized emails to realistic “manager calls” that assess and train enterprise security teams.Joining our team means collaborating with leaders who have backgrounds at Meta and Y Combinator and are already engaging with Fortune 100 clients. This is a unique opportunity to experience the rapid growth and creativity of a startup, coupled with the stability and backing of an established company. It's the ideal environment to innovate quickly, implement meaningful change, and help shape an emerging market.Having just launched, we are witnessing fast-growing market traction and are eager for individuals who are excited to take initiative and fulfill our customers' pressing needs. For instance:Develop a “Cursor for phishing simulation” workflow that enables users to create simulations using natural language.Create voice deepfakes that utilize AI to impersonate employees during calls.

Join Our Innovative Robotics TeamAt OpenAI, our Robotics team is dedicated to pioneering general-purpose robotics and striving towards artificial general intelligence (AGI) within dynamic, real-world environments. By integrating advanced hardware and software, we explore a diverse array of robotic configurations, aiming to harmoniously combine high-level AI capabilities with the physical constraints of real-world systems to enhance everyday lives.Your Role as a Simulation Environments EngineerWe are seeking a talented Simulation Environments Engineer to develop the tools and infrastructure that facilitate the creation of comprehensive, realistic virtual environments for robotics research and evaluation. This position emphasizes building systems that empower researchers and engineers to define, visualize, generate, and validate task environments efficiently and at scale. You will design processes for importing and validating third-party content, develop procedural and randomized scenario generators, and produce user-friendly tools to streamline environment creation, making it swift, repeatable, and testable. This role sits at the convergence of game-engine expertise, asset engineering, and extensive simulation infrastructure.Location and Work ScheduleThis position is based in San Francisco, CA, requiring in-person collaboration three days a week.Key ResponsibilitiesDevelop interactive and programmatic tools for researchers to describe, preview, and validate scenes and tasks, enabling quick and consistent scenario authoring.Establish content pipelines to curate, convert, optimize, and quality-check visual and collision assets from both external collections and internal resources, ensuring consistent behavior across engines and tasks.Create robust importers and adapters to integrate environments and setups from platforms such as Isaac, Unity, Unreal, and Omniverse into our simulation pipelines, maintaining fidelity and performance.Develop frameworks for procedural generation and controlled randomization (covering visual, physical, and kinematic aspects) to provide models with systematic, measurable variations in conditions.Define and uphold quality standards for environments (including visual fidelity, collision accuracy, and physical realism) and implement validation tools to ensure environments meet established realism and coverage objectives.Link environment tools to CI/CD processes, presubmit checks, large-scale simulation farms, and model evaluation pipelines to facilitate automatic testing and large-scale execution of environments.

Why Choose Stand Insurance? At Stand, we are pioneering a new era in global property protection. Our innovative use of advanced physics and artificial intelligence enables us to model catastrophic risks at the asset level, automating underwriting and loss mitigation processes before they occur. While traditional insurance merely reacts to losses, we focus on creating a scalable risk engine that proactively addresses potential threats.We step in where conventional insurers retreat, providing precise modeling where others rely on approximations. Our systems are designed to drive impactful outcomes rather than simply adjusting pricing.About the Role: As the Simulation Platform Engineer, you will take ownership of and enhance the simulation and digital twin platform that supports Stand’s modeling workflows. This role encompasses the development and maintenance of production simulation pipelines, ensuring the reliability of our infrastructure and CI/CD processes, as well as managing geospatial data processing, annotation, and quality control systems. You will also contribute to the development of new digital twin capabilities that facilitate our expansion into various geographies and peril types, such as hurricanes.Collaboration is key in this role. You will work closely with Physics Simulation Engineers, Machine Learning Engineers, and subject matter experts specific to different perils, ensuring our simulation, AI, and geospatial pipelines are robust, observable, and scalable.This position is tailored for individuals who thrive in dynamic environments, take full ownership of projects, collaborate effectively across teams, and are inspired by the challenge of building innovative solutions from the ground up.

Why Join Stand: At Stand, we're pioneering a revolutionary approach to global property protection. By leveraging cutting-edge physics and artificial intelligence, we model catastrophic risk at the asset level, automating underwriting and mitigation processes to prevent losses before they occur. Our innovation transcends traditional insurance; our true product is a scalable risk engine.We remain committed where conventional insurers may falter, accurately modeling risks that others only approximate. Our systems are designed not just to adjust prices, but to fundamentally alter outcomes.The Stand Approach: The existing property insurance framework primarily focuses on pricing losses post-incident. It heavily relies on broad proxies, retrospective data, and manual processes, often accepting damage as an inevitable consequence.In contrast, Stand adopts a proactive methodology. We simulate real-world catastrophes' impacts on individual properties, translating this data into actionable insights that streamline operations. Our platform enables underwriting capabilities that surpass traditional methods, minimizing friction and maximizing accuracy.As a pioneering force in the property insurance sector, we utilize first-principles thinking to assess wildfire risks through deterministic, physics-based models, validated against controlled fire experiments. This innovative approach allows us to shift from correlation-based pricing to a detailed understanding of wildfire risk and effective mitigation strategies.Experiments and the validation of simulations are at the core of our operations. The ability to transform experimental outcomes into clean, well-documented datasets is essential for maintaining the accuracy and reliability of our models, which are crucial for informed underwriting and mitigation strategies.Location: Onsite in Jackson Square, San Francisco.Compensation: $30/hour, targeting 40 hours a week. Please note that we do not offer relocation or lodging stipends.Role Summary: As a Simulation Platform Engineering Intern, you will enhance and support our simulation and digital twin platform integral to Stand's modeling workflows. Collaborating closely with Simulation Engineers, Machine Learning Engineers, and industry experts, you will focus on improving the reliability, scalability, and data quality throughout our pipelines.This internship is perfect for individuals eager to gain hands-on experience in building real systems, excited about interdisciplinary learning, and passionate about developing infrastructure from the ground up in a dynamic startup environment.

We are on the lookout for a Principal Simulation Engineer to lead the design and development of a comprehensive aerial autonomy simulation stack at DoorDash Labs. In this hands-on leadership position, you will define and implement the simulation architecture that supports our autonomy development, validation, continuous integration and deployment (CI/CD) testing, and pilot training.As the technical authority on simulation, you will make key architectural decisions, develop essential components, and establish engineering standards. You will also build and mentor a small but talented simulation team while maintaining active involvement in implementation and system design.This role is perfect for someone with extensive experience in building simulation systems from the ground up, possessing a deep understanding of simulator internals, and eager to craft a world-class platform from scratch.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, thanks to our extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Hardware Engineering team at Waymo is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential components that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into various vehicle platforms. We’re on the lookout for inquisitive and skilled individuals to help propel us forward.This position operates under a hybrid work schedule and reports to the Systems Engineering Manager.

Join ASM – Where Innovation Meets Collaboration!With over 55 years of pioneering technology, ASM stands at the forefront of innovation, shaping the future of advanced semiconductor devices. Our diverse team of more than 4,500 professionals from 70 nationalities drives advancements in key trends such as 5G, cloud computing, AI, and autonomous driving. We pride ourselves on our commitment to diversity, inclusion, and sustainability, striving to make a positive impact on the world. Our comprehensive development programs are designed to foster your growth, enabling you to push the boundaries of innovation. Position: Senior Principal Engineer, Systems (Plasma & Multi-Scale Simulation Scientist)The Simulation and Modeling Hub is looking for a Senior Plasma & Multi-Scale Simulation Scientist to enhance our plasma modeling capabilities. This pivotal role involves integrating plasma physics, surface chemistry, and feature-scale behavior to develop predictive, physics-based simulation workflows that support advanced semiconductor processes including PEALD, PECVD, ALE, and RIE.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our primary goal has been to develop the Waymo Driver—The World’s Most Experienced Driver™. Our innovations aim to enhance mobility access while saving countless lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail services and is adaptable across various vehicle platforms and product applications. Having completed over ten million rider-only trips, our technology has autonomously navigated over 100 million miles on public roads and executed tens of billions of miles in simulations across more than 15 U.S. states.Your Role:Lead the technical strategy for the Simulator’s issue response lifecycle, encompassing automated detection, root cause analysis, and the deployment of both temporary and permanent software solutions to prevent future regressions.Direct complex, cross-functional projects to enhance automated issue detection by integrating new data sources and signals, thus reducing the time from an in-field event to mitigation deployment.Work closely with Data Science, Systems Engineering, and operations teams to improve technical processes and tools, accelerating the deployment and validation of solutions for identified issues.Mentor mid-level and junior engineers on sophisticated technical challenges, best practices in system architecture, and high-quality software development, serving as a technical force multiplier.

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing traffic-related fatalities. Our Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable across a variety of vehicle platforms and applications. To date, we have successfully completed over ten million rider-only trips, supported by our extensive experience of driving autonomously for more than 100 million miles on public roads and tens of billions of miles in simulation across over 15 U.S. states.The Driver Understanding and Evaluation team at Waymo focuses on deeply understanding the Waymo Driver’s behavior. With an impressive rate of over 1 million driverless miles per week, it is essential for Waymo to analyze and evaluate the behavior of its vehicles—both in real-world scenarios and simulations—using automated algorithms. Our learned metrics team plays a crucial role in leveraging machine learning to scale our operations to meet Waymo's ambitious goals. We work collaboratively across teams to integrate machine learning into production systems and establish the reward function for Waymo. Our team designs and manages large-scale machine learning systems, data infrastructures, simulation workflows, and analytical tools. By combining expert human insights with advanced machine learning models, we provide critical training and evaluation data for the Waymo Driver. We are on the lookout for passionate researchers and software engineers dedicated to creating robust machine learning systems for our autonomous vehicles, with a relentless pursuit of enhancing the performance of our technology stack.

Why Join UsAt Brex, we are revolutionizing corporate spending with our AI-driven platform. We empower businesses to manage their expenses confidently through integrated corporate cards, banking services, and global payment solutions, complemented by intuitive software for travel and expense management. From startups to established enterprises like DoorDash, Flexport, and Compass, thousands of companies rely on Brex to control spending proactively, reduce costs, and enhance efficiency on a global scale.Joining Brex means pushing your limits, questioning the status quo, and collaborating with some of the industry’s brightest minds. We are dedicated to fostering a diverse team and an inclusive culture, believing that your potential should only be limited by your dreams. We empower you with the tools, resources, and support needed to advance your career.AI at BrexOur AI Engineering team is redefining finance management by embedding intelligent, autonomous systems into the Brex platform. We develop AI agents that not only provide insights but also take action to optimize spending, manage workflows, and make real-time decisions for our customers. By integrating proprietary financial data with our product and platform infrastructure, we simplify complex financial operations into seamless, automated experiences, setting a new standard for modern finance.What You’ll DoAs a Senior Software Engineer, you will be responsible for Brex’s simulation and validation platform for AI-driven products. Your primary goal is to ensure that every AI interface at Brex is rigorously tested under realistic conditions, enabling teams to deploy with confidence.You will design a system that leverages synthetic data and scenario generation to create a recursive self-improvement loop. Product teams will depend on this platform to detect regressions proactively, validate new features safely, and continuously refine prompts and agent behaviors. This platform will operate within isolated, ephemeral environments closely resembling production.This is not a research position; it involves actively engaging with real products, creatively breaking them to foster organizational improvement.Where You’ll WorkThis position is based in our San Francisco office. We offer a hybrid work environment that blends the energy of in-office collaboration with the flexibility of remote work. We require team members to be in the office three days a week—Monday, Wednesday, and Thursday—while also allowing up to four weeks of fully remote work each year!

tvScientific, now part of Pinterest, develops a connected TV (CTV) advertising platform designed for performance marketers. The platform combines media buying, optimization, measurement, and attribution, all in one place. The team includes industry veterans with experience in programmatic advertising, digital media, and ad verification. Advertisers use tvScientific to automate and enhance TV ad campaigns, drawing on large-scale data and advanced technology to improve results and scale efficiently. Role overview The Senior Software Engineer - AI & Simulation will focus on expanding simulation and AI features within the platform. This role centers on designing and building systems that represent the CTV advertising landscape. Key areas include: Simulating auction mechanics and bidding strategies Modeling campaign performance and testing counterfactual scenarios In addition, this engineer will help develop AI-powered tools that accelerate the creation, evaluation, and deployment of machine learning systems. Location This position is based in San Francisco, CA, or can be performed remotely within the United States.

Astranis is at the forefront of satellite technology, specializing in the construction of advanced satellites designed for high geostationary orbits. Our innovative solutions extend humanity's reach into the solar system, delivering dedicated and secure network services to a diverse range of esteemed clients, including large corporations, sovereign nations, and the United States military. With five operational satellites and numerous upcoming launches, we are committed to fulfilling over $1 billion in commercial contracts.We pride ourselves on being the go-to partner for satellite communications, particularly for clients with rigorous demands regarding uptime, data security, network visibility, and customization. Backed by over $750 million in funding from prominent investors such as Andreessen Horowitz, Blackrock, and Fidelity, our team of 450 engineers and entrepreneurs is dedicated to advancing satellite technology. All operations, from design to assembly, are conducted in our state-of-the-art 153,000 sq. ft. headquarters located in Northern California.Position OverviewAs a Simulation Software Engineer within our Guidance, Navigation, and Control (GNC) team, you will play a pivotal role in designing, developing, and testing high-fidelity spacecraft simulations that validate the software controlling our satellites in orbit.In this position, you will enhance our core simulation infrastructure and work collaboratively with cross-functional engineering teams to model new systems and introduce exciting features into the simulator.

Join Waymo as a Staff Software Engineer specializing in Simulation Capacity Optimization. In this pivotal role, you will leverage your expertise in software engineering and simulation technology to enhance our autonomous vehicle systems. Your contributions will be vital in optimizing the performance and efficiency of our simulations, ensuring that our vehicles are equipped to navigate the complexities of real-world environments.

Focused Energy is at the forefront of the fusion energy revolution, dedicated to unlocking unlimited clean energy to responsibly fulfill the global energy needs of the future. Our innovative approach harnesses laser-induced inertial fusion, a highly efficient and clean power generation technology that promises a secure and scalable energy supply for generations to come.We are in search of a talented and motivated Optical Simulation Scientist to spearhead the development and application of cutting-edge computational tools designed to model the intricate optical and multiphysics dynamics of our high-energy laser systems. In this pivotal role, you will create high-fidelity digital representations that directly influence system architecture, component design, and experimental validation for the next generation of fusion laser drivers.Your contributions will be vital in establishing our digital twin environment — facilitating predictive optimization, accelerating design processes, minimizing experimental risks, and transforming advanced laser physics into a dependable, scalable energy infrastructure.

Join our innovative team at Achira, where we are pioneering the integration of probabilistic generative models with advanced simulation frameworks to revolutionize drug discovery. In this role, you will harness state-of-the-art techniques to accelerate molecular design and enhance biomolecular conformational sampling. Why Choose Achira?Become part of a highly skilled team of researchers, scientists, and engineers dedicated to merging probabilistic AI/ML with molecular simulation for transformative small molecule drug discovery.Contribute to the development of cutting-edge architectures for 3D generation and proposal mechanisms that leverage physical insights.Engage with large-scale models and datasets, utilizing high-throughput evaluation within a ML-optimized biomolecular simulation ecosystem.Take ownership of your projects, from the initial conception of models to the design of sampling tools and applications.Thrive in a dynamic culture that values speed, scientific rigor, and a sense of ownership.Role OverviewAs a Generative AI Researcher, you will be at the forefront of Achira's efforts to develop foundation simulation models and conditional generators tailored for molecular systems. Your expertise in designing probabilistic generative models, including diffusion models and normalizing flows, will be crucial in optimizing biomolecular simulation potentials. This position offers an opportunity to enhance the efficiency of small molecule generation and biomolecular landscape exploration.A background in statistical mechanics, particularly nonequilibrium perspectives, will be beneficial, although the primary focus will be on probabilistic AI/ML methodologies.

ABOUT ASTRO MECHANICA:At Astro Mechanica, we are a pioneering aerospace firm dedicated to reshaping the future of high-speed travel. Our vision is to democratize supersonic flight, making it not only accessible but also sustainable and efficient. We believe that the future of global mobility is rapid, on-demand, and point-to-point. By integrating our cutting-edge airframe and engine technologies, including our proprietary Duality™ propulsion system, we aim to redefine the standards of commercial air travel. Currently, we are focused on developing adaptable, high-speed systems to enhance aircraft performance for governmental needs.OUR TEAM:Our team is composed of passionate engineers who are committed to advancing aerospace technology. We embrace a flat organizational structure that encourages collaboration and innovation, prioritizing engineering excellence over hierarchy. Our rapid pace and practical approach empower us to create effective solutions.YOUR ROLE:Astro Mechanica is seeking a highly skilled Propulsion Cycle Analysis Engineer to join our innovative team. The successful candidate will possess an in-depth understanding of complex system dynamics and will take charge of modeling the thermodynamic cycle of our novel engine architecture. Your contributions will directly influence the configuration and performance of our turboelectric adaptive jet engine.In this role, you will simulate the operational envelope of our groundbreaking jet engine, predict its behavior, and align simulations with real-world data. You will work closely with propulsion, aircraft, and test teams to conduct conceptual trade studies and deliver highly accurate predictions of engine performance. Attention to detail and a knack for solving intricate, interconnected challenges will be essential for your success.KEY RESPONSIBILITIES:Employ propulsion 1D thermodynamic cycle models (NPSS, PyCycle, GasTurb, Amesim) to forecast engine performance based on analytical maps and operational conditions.Enhance and uphold the accuracy of simulation models by anchoring them to historical and internally generated test data.Create automated tools to enhance functionality and improve user interface.Collaborate with engineering teams to conduct engine parameter sensitivity analyses and understand their implications on aircraft performance.

About tvScientific tvScientific is a pioneering CTV advertising platform designed specifically for performance marketers. We utilize extensive data and advanced science to automate and optimize TV advertising, ensuring impactful business outcomes. Our comprehensive solution integrates media buying, optimization, measurement, and attribution into a single, efficient platform. Developed by industry experts with extensive backgrounds in programmatic advertising, digital media, and ad verification, our platform stands as a reliable CTV performance tool for advertisers striving to expand their business. We are on the lookout for a talented Software Engineer to enhance our simulation and AI capabilities. You'll be responsible for designing and implementing systems that accurately model the CTV advertising ecosystem, including auction dynamics, bidding strategies, campaign results, and counterfactual scenarios. Moreover, you will innovate AI-driven tools that expedite the development, testing, and deployment of machine learning systems.