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Experience Level
Mid to Senior
Qualifications
Key ResponsibilitiesDevelop and implement diverse, physically realistic environments for NEO in simulation. Bridge the gap between simulated policies and their real-world applications on robots. Expand the production of simulation data for research purposes. Collaborate with AI and teleoperation teams to create new training and evaluation tasks, ensuring optimal performance. Work closely with the hardware team to prototype new robot hardware and test it in a virtual simulation environment. Qualifications4+ years of programming experience in Python, C++, or similar languages. Proficient in building environments and benchmarks using robotics simulators such as MuJoCo, PyBullet, or Isaac Sim. Experience in enhancing the performance of physics simulators or OpenGL rendering pipelines. Familiarity with testing practices to ensure the accuracy of simulation stacks for robot learning. Strong work ethic and the courage to tackle complex technical challenges. Advanced degree (MS or PhD) in Computer Science or a related field. Knowledge of extrinsic and intrinsic calibration algorithms relevant to robotics.
About the job
Join Our Team as a Software Engineer, Simulation Location: Palo Alto, CA (On-site)
About 1x
At 1x, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.
Your Role As a Software Engineer specializing in simulation, you will be instrumental in creating and enhancing simulation environments and real-time infrastructures that significantly boost robot learning. Your contributions will empower our AI team to rapidly iterate on research by minimizing reliance on physical robot evaluations. You'll be tasked with constructing highly realistic simulation environments, scaling simulation data, and facilitating the connection between simulated and real-world robot behaviors. Furthermore, you'll prototype cutting-edge hardware in simulation and assist with training and evaluation tasks across different teams.
About 1X
1x is at the forefront of robotics innovation, dedicated to creating humanoid robots that enhance human productivity and tackle pressing labor shortages. We are committed to building a future where humans and robots work together to achieve greater efficiency and abundance.
Full-time|On-site|Palo Alto, California, United States
About UsAt Newcode.ai, we are dedicated to transforming how businesses integrate AI into their everyday operations. In just a few months, we have transitioned from concept to reality by creating products that our clients genuinely appreciate. As part of our dynamic and ambitious team, you will not only influence the future of AI but also help define it.Posit…
At Rhoda AI, we are pioneering a comprehensive platform for the next generation of humanoid robots. Our cutting-edge technology encompasses high-performance, software-defined hardware alongside sophisticated foundational models and video world models. Our robots are crafted to be versatile and capable of navigating complex, real-world scenarios that may not be covered in traditional training. We are at the forefront of large-scale learning, robotics, and systems integration, boasting a research team that includes esteemed professionals from Stanford, Berkeley, Harvard, and other prestigious institutions. With over $400 million raised, we are committed to significantly investing in research and development, hardware innovation, and scaling up our manufacturing processes to realize our vision.We are seeking a talented mid-to-senior Application Engineer who will be instrumental in translating real-world customer use cases into effective intelligent robot deployments. You will engage in the design, prototyping, and enhancement of grippers, end-of-arm tooling, workstations, and integration hardware. Additionally, you will develop efficient strategies for robot learning and data collection, operating at the confluence of robotics, artificial intelligence, hardware, and deployment operations.
About UsAt Hippocratic AI, we are pioneers in the realm of generative AI for healthcare. Our innovative system enables safe and autonomous clinical dialogues with patients, achieving over 99.9% accuracy through our proprietary large language models (LLMs) within the Polaris constellation.Why Join Our TeamTransform healthcare with safety in mind. We are developing the world’s first healthcare-specific, safety-centric LLM, a revolutionary platform aimed at enhancing patient outcomes globally. This represents a new category in healthcare technology.Collaborate with industry leaders. Co-founded by CEO Munjal Shah alongside a team of esteemed physicians, hospital executives, AI innovators, and researchers from top institutions such as El Camino Health, Johns Hopkins, Stanford, Google, and NVIDIA.Supported by premier investors. Recently, we secured $126M in Series C funding at a $3.5B valuation, led by Avenir Growth, contributing to a total funding of $404M from notable investors including CapitalG, General Catalyst, and a16z.Work with the best minds in healthcare and AI. Join a team dedicated to improving healthcare, advancing science, and creating transformative technologies that ensure our platform is powerful and trusted.About the RoleAs an AI Engineer at Hippocratic AI, you will be instrumental in advancing voice-based generative AI in healthcare. Your responsibilities will include designing and developing intelligent systems that power our clinically safe healthcare agents, integrating large language models with real-time voice technology and human-centered design.This is a hands-on, cross-functional position, requiring close collaboration with AI researchers, product managers, and clinical experts to deploy advanced language and speech models. Your contributions will significantly shape how patients and providers interact safely with generative AI.
Full-time|Hybrid|Palo Alto, California, United States
At code-metal, we are on a mission to revolutionize hardware deployment by matching the rapid pace of software development. Our innovative work focuses on automatic code transpilation and optimization for diverse hardware applications.As an AI Research Engineer, you will work alongside a dynamic team of researchers, tackling groundbreaking projects in generative AI and reinforcement learning.Core Responsibilities:Independently design, execute, and analyze complex experiments.Contribute to the development of core models and frameworks.Generate high-quality datasets, both real-world and synthetic.Conduct literature reviews and implement cutting-edge techniques from research papers.Engage in the publication process and present findings at conferences and workshops.Research Areas of Interest:Our current and near-term research focuses include:Contrastive representation learningSteerability and guided decodingTractable probability modelsCode-specific architecturesLLM fine-tuning, post-training, RLHF
Full-time|$130K/yr - $250K/yr|On-site|Palo Alto, California, United States
Join Our Team as a Software Engineer, SimulationLocation: Palo Alto, CA (On-site)About 1xAt 1x, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.Your RoleAs a Software Engineer specializing in simulation, you will be instrumental in creating and enhancing simulation environments and real-time infrastructures that significantly boost robot learning. Your contributions will empower our AI team to rapidly iterate on research by minimizing reliance on physical robot evaluations. You'll be tasked with constructing highly realistic simulation environments, scaling simulation data, and facilitating the connection between simulated and real-world robot behaviors. Furthermore, you'll prototype cutting-edge hardware in simulation and assist with training and evaluation tasks across different teams.
Full-time|$170K/yr - $230K/yr|Hybrid|Hybrid - Palo Alto, CA
Join us in transforming healthcare.At Qualified Health, we are at the forefront of revolutionizing healthcare through Generative AI. Our innovative infrastructure ensures safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, collaborating with leading health systems to effect genuine change.This role is more than a job; it’s a chance to influence the future of AI in healthcare, tackle complex challenges, and significantly enhance patient care. If you are driven, creative, and eager to make an impact, we want you on our team.Help us shape the future of healthcare.Position Overview:We are seeking a talented Software Engineer with exceptional frontend capabilities to enhance the user experience of our AI SaaS platform. As a vital member of our pioneering engineering team, you will play a key role in defining the user experience for our groundbreaking healthcare AI startup.Core Responsibilities:Design and implement the user experience for our AI SaaS platform, ensuring seamless integration with our infrastructure.Write clean, maintainable code utilizing modern frontend technologies.Enhance platform performance for speed and scalability.Iterate quickly based on user feedback and analytics.Engage in code reviews and contribute to overall architectural decisions.
Hippocratic AI is building generative AI systems for healthcare, focused on safe, autonomous clinical conversations. The company’s proprietary large language models (LLMs) power these interactions, achieving an accuracy rate above 99.9%. This team is developing a healthcare-exclusive, safety-first LLM platform with the goal of improving patient outcomes worldwide. The company is led by CEO Munjal Shah and a group of physicians, hospital executives, AI researchers, and engineers from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading investors in healthcare and AI, including Avenir Growth, CapitalG, General Catalyst, and a16z. The company recently completed a $126 million Series C round, reaching a $3.5 billion valuation and $404 million in total funding. Role overview The Staff AI Engineer will shape the technical direction for voice-based generative AI in healthcare. This position involves designing intelligent systems that enable clinically safe healthcare agents, blending expertise in large language models, real-time voice interaction, and user-centered product development. This is a hands-on role with significant impact. The Staff AI Engineer will oversee one or more core AI domains, such as retrieval-augmented generation (RAG), agent orchestration, evaluation, or real-time voice. Collaboration with AI researchers, product managers, and clinical experts is central, as is mentoring engineers across the organization. Contributions in this role will influence how patients and providers interact with generative AI at scale. Hippocratic AI seeks experienced technical leaders who want to apply AI to real-world healthcare challenges and set high standards for technical excellence. Location requirement This position is based in Palo Alto and requires in-person attendance at the office five days a week unless otherwise specified.
About Hippocratic AI Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions. Our Mission and Team The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner. Role Overview: Performance Engineer The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications. Key Responsibilities Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage). Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions. Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health. Location This position is based in Palo Alto.
Join us at Rhoda AI, where we are pioneering the full-stack foundation for the next generation of humanoid robots. Our mission encompasses everything from high-performance, software-defined hardware to the foundational models and video-based world models that govern them. Our robots are designed to navigate complex, real-world environments and tackle scenarios that have not been encountered during training. We are a collective of top-tier researchers from esteemed institutions like Stanford, Berkeley, and Harvard, focusing on the intersection of large-scale learning, robotics, and systems. With over $400M raised, we are committed to substantial investments in R&D, hardware development, and scaling manufacturing to bring our vision to life.As a Robotics Software Engineer, you will play a crucial role in developing and maintaining the software that drives our robots. Your primary focus will be on integrating sensors and perception systems to facilitate reliable operations in varied customer environments.
Full-time|$180K/yr - $250K/yr|Hybrid|Hybrid - Palo Alto, CA
Join us in transforming healthcare through AI.At Qualified Health, we are at the forefront of innovation, harnessing the power of Generative AI to revolutionize the healthcare landscape. Our robust infrastructure ensures safe AI governance, facilitates the creation of healthcare-specific agents, and enables real-time algorithm monitoring—partnering with leading health systems to effect meaningful change.This is not merely a position; it is a chance to shape the future of AI in healthcare, tackle intricate challenges, and significantly enhance patient care. If you are driven, creative, and eager to accelerate progress, we invite you to become a part of our team.Help us define the future of healthcare. Job Overview:We are seeking a dedicated Applied AI Engineer who will be pivotal in developing and scaling AI workflows that are practical and impactful. This role is tailored for engineers who are adept at deploying generative AI applications. You will primarily focus on constructing agentic workflows and integrating production-grade solutions across various product lines.Collaboration with product and engineering teams will be key as you design, deploy, and enhance AI-driven applications that address real-world healthcare issues.Key Responsibilities:Create and implement agentic workflows and automation pipelines (approximately 60% of the role).Develop and sustain production-ready services, REST APIs, and integrations (approximately 30%).Deliver production solutions swiftly, emphasizing agility and efficiency.Collaborate with product, engineering, and design teams to provide comprehensive AI-powered features.Assess and integrate cutting-edge LLMs (OpenAI, Anthropic, Mistral, etc.) for production use cases.Contribute to the development of a scalable workflow infrastructure capable of supporting 100+ workflows.Required Qualifications:Bachelor’s degree with 4 years of experience OR Master’s degree with 2 years in Computer Science, Engineering, or a related field.Robust software engineering foundation (Python is essential; adherence to strong coding practices is a must).Experience in developing AI-powered applications within the last 1–2 years utilizing technologies such as ChatGPT, Claude, Anthropic, or Mistral.Practical experience in REST API development and service deployment in cloud environments (preferably GCP).Solid understanding of MLOps, model deployment, and ...
At Rhoda AI, we are pioneering the development of the full-stack architecture for the future of humanoid robotics. Our innovative work spans from high-performance, software-defined hardware to foundational models and visual models that govern it. Our robots are designed as generalists, capable of navigating complex, real-world environments and addressing scenarios that were not included in their training. We collaborate at the intersection of large-scale learning, robotics, and systems, with an exceptional research team featuring experts from Stanford, Berkeley, Harvard, and other prestigious institutions. We are not merely creating a feature; we are establishing a groundbreaking computing platform for physical tasks. With over $400M raised, we are heavily investing in R&D, hardware development, and scaling up manufacturing to turn our vision into reality.We are seeking a talented Full Stack Software Engineer to contribute to the development of our crucial automation platform. This tool is vital for how we gather data, validate task performance, manage model versions, and quickly iterate on model training and deployment.
Full-time|$225K/yr - $300K/yr|On-site|Palo Alto, California, United States
Join acryldata, an innovative leader in AI and data management, as we revolutionize the way enterprises utilize their data. Our flagship product, DataHub, is an AI & Data Context Platform trusted by over 3,000 organizations, including industry giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community of over 13,000 contributors, DataHub's metadata graph offers unparalleled insights into AI and data assets, ensuring exceptional scalability and flexibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform equipped with AI-driven discovery, observability, and governance features. Businesses depend on DataHub to accelerate the realization of their data investments, guarantee the reliability of AI systems, and establish cohesive governance frameworks, thus harmonizing AI and data to mitigate data chaos.The ChallengeAs AI and data products grow increasingly vital, organizations encounter a metadata crisis:Lack of a unified approach to monitoring the intricate data supply chains fueling AI systems.Engineering teams facing hurdles in data discovery, lineage tracking, and governance.Organizations demanding machine-scale metadata management that goes beyond human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you will develop will be instrumental in powering the next generation of AI systems at a large scale. Your contributions will influence how thousands of organizations deploy AI safely and effectively, impacting millions of users across the globe.The RoleWe are in search of a highly skilled Python engineer to spearhead the development of DataHub's ingestion framework—the backbone that links various data systems and enhances our metadata collection capabilities.You Will BuildResilient, scalable ingestion systems for enterprise-level metadata.Clean, user-friendly APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping for diverse systems integrated with DataHub's unified model.Versioning systems for AI assets, including training data, model weights, and embeddings.
Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.
Why Join Zania?At Zania, we are on a mission to revolutionize Governance, Risk, and Compliance (GRC) through innovative technology. With enterprises investing millions in GRC, the sector is primed for transformation. Our cutting-edge agentic AI is designed to tackle the complexities of compliance and risk management effectively, setting new benchmarks in the industry.We are experiencing rapid growth and are looking for talented individuals to join our team. Here are some compelling reasons to consider a career with us:Prestigious Clientele: Collaborate with leading global enterprises such as FAANG and top-tier firms.Strong Financial Backing: Supported by a top-tier venture capital firm, enabling us to build a legacy company.Exceptional Team: Work alongside industry leaders from renowned companies like Airbnb, Microsoft, and Deloitte.Innovative Technology: Engage in pioneering applied AI projects that are shaping the future of compliance.Rapid Expansion: Join us as we celebrate a remarkable 10x growth in annual recurring revenue over the past year.Attractive Compensation: We offer competitive salaries and equity options.Position OverviewAs an Applied AI Engineer at Zania, you will spearhead the development of advanced AI systems that surpass traditional methods in GRC. Your focus will be on building production-level AI solutions with an emphasis on accuracy, innovation, and ethical considerations. This position is located in our Palo Alto office, and we provide relocation assistance for qualified candidates.Your ResponsibilitiesModel Development: Fine-tune foundational AI models using proprietary datasets and implement cutting-edge techniques to enhance precision in GRC tasks.AI Workflow Creation: Design and develop intricate agentic workflows that optimize compliance processes.
About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.
Full-time|$119.8K/yr - $203.8K/yr|On-site|Palo Alto, California, United States
Founded in 2015, 1X is pioneering the development of sophisticated humanoid robots tailored for domestic applications. Our vision is to revolutionize labor availability through safe and intelligent humanoid technology.As a Simulation Engineer at 1X Technologies, you will play a critical role in leading thermal and multi-body structural analyses of advanced robotic systems, directly influencing design and production decisions.Key ResponsibilitiesDevelop and validate thermal models for actuators, electronics, and enclosures.Conduct multi-body dynamics simulations to evaluate robotic motion and load cases.Create structural FEA models to analyze stress, fatigue, and stiffness.Align simulations with experimental data to enhance model accuracy.Establish best practices for simulations, including templates and documentation.Collaborate with mechanical, controls, and hardware teams to convert requirements into robust models.Perform Design of Experiments (DOE) and sensitivity analyses to inform design choices.Support design reviews by providing detailed technical reports and visualizations.Automate simulation processes with scripting where applicable.Contribute to system-level trade studies and architectural decisions.
About VoltaiVoltai is at the forefront of technology, developing innovative world models and intelligent agents that learn, evaluate, plan, and interact with the physical world. Our journey begins with creating advanced hardware, focusing on electronic systems and semiconductors, where artificial intelligence transcends human cognitive limitations.About Our TeamOur team, supported by leading Silicon Valley investors and Stanford University, includes former Stanford professors, SAIL researchers, Olympiad medalists, and industry leaders from renowned companies such as Google, AMD, Broadcom, and Marvell. We are proud to have former high-ranking officials, including a US Secretary of Defense and Senior Advisors to multiple US presidents, among us.
About VoltaiVoltai is at the forefront of developing advanced world models and agents that enable learning, evaluation, planning, experimentation, and interaction with the physical environment. Our initial focus is on understanding and building hardware, specifically electronic systems and semiconductors, where artificial intelligence can design and create beyond the limits of human cognition.About the TeamSupported by some of Silicon Valley’s most prestigious investors, Stanford University, and prominent figures including CEOs and Presidents from Google, AMD, Broadcom, and Marvell, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of Synopsys & GlobalFoundries, and advisors who have served under four US presidents.Key ResponsibilitiesLead and manage a team of engineers through agile sprint cycles and critical delivery milestones.Drive sprint planning and execution, from backlog refinement to sprint reviews and retrospectives.Prioritize engineering tasks based on business impact, technical debt, and resource limitations.Transform complex requirements from product and hardware teams into clear, actionable engineering tasks and user stories.Eliminate obstacles and enhance team efficiency through daily stand-ups, one-on-ones, and cross-team collaboration.Collaborate closely with product and design teams to maintain a balance between feature delivery and technical excellence.Monitor team performance through velocity tracking, sprint health assessments, and delivery metrics while fostering continuous improvement.
About Spacial:At Spacial, we are pioneering a transformative approach to the design, engineering, and approval processes in the built environment. With extensive expertise in architecture, engineering, and construction, our team has experienced the industry's challenges—prolonged approvals, persistent revisions, and ambiguous requirements that can compromise even the finest designs.To address these issues, we developed Spacial: an AI-driven platform that automates structural and MEP engineering, converting 2D designs into permit-ready, code-compliant documentation in a matter of days rather than months.This represents more than just optimization; it establishes a new benchmark for the AEC industry, delivering speed, clarity, and control from day one. By uniting architects, engineers, builders, and homeowners on a singular platform, Spacial eradicates obstacles, expedites approvals, and accelerates the realization of innovative ideas.
Full-time|On-site|Palo Alto, California, United States
At PsiQuantum, we are on a groundbreaking mission to realize the potential of quantum computing by constructing the first genuinely practical quantum computers. Our vision is to create a system that incorporates approximately 1 million qubits, engineered to support robust fault-tolerant error correction within a scalable architecture and a compact data center footprint. By leveraging the principles of quantum physics, we aim to achieve performance levels that vastly exceed those of today’s most advanced supercomputers, bringing transformative advancements across diverse sectors such as climate change, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, and materials design. We have meticulously identified the fastest route to delivering a functional quantum computer, significantly ahead of our competitors. Our architecture utilizes silicon photonics, enabling us to produce components in leading semiconductor fabrication facilities like GlobalFoundries. This approach allows us to harness high-volume semiconductor manufacturing processes, the same that currently yield billions of chips for telecommunications and consumer electronics. Furthermore, we exploit the unique characteristics of photons, which are immune to heat and electromagnetic interference, to utilize existing cryogenic cooling systems and standard fiber connectivity. In 2024, we launched two government-supported initiatives aimed at establishing our inaugural Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects are backed by nations keenly aware of the transformative potential of quantum computing and the necessity to develop this technology at scale. Our commitment extends beyond hardware; we are also dedicated to creating fault-tolerant quantum applications that will drive industry-altering results. Quantum computing represents a profound leap forward, granting us the tools to shape our future rather than merely respond to it. The possibilities are immense, and we have a strategic plan to realize them. Join us on this extraordinary journey! If you don't see a current engineering opening that fits your expertise, feel free to submit your resume—we are eager to connect with talented individuals!
