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As a FEA Simulation Engineer, you will gain practical experience applying finite element analysis to real-world engineering challenges spanning various industries such as aerospace and defense. You possess a keen ability to grasp and implement advanced engineering concepts across diverse sectors, excelling in direct customer engagement (often on-site) to develop CAE models integrated into AI tools that are both functional and widely adopted. Your expertise lies in structural mechanics and materials science, with a proven ability to translate fundamental knowledge into real-world applications across a broad spectrum of engineering scenarios. Proficiency in at least one of the following tools—NASTRAN, ABAQUS, or ANSYS Mechanical—is essential, along with the capability to automate these tools to establish scalable optimization workflows that yield significant results. Familiarity with open-source FEA tools (CalculiX, FEniCS) or explicit dynamics tools (LS-DYNA, Abaqus/Explicit) will be advantageous. Skills in parametric CAD modeling (NX or CATIA) and programming in Python, or the willingness to learn programming languages swiftly, are also beneficial. With 1-2 years of relevant industry experience (post-Masters or PhD) in a commercial, non-research setting, you are well-prepared to contribute from day one. You demonstrate confidence in independently setting up FEA simulations, interpreting complex outcomes with thoroughness, and making informed decisions grounded in sound engineering judgment. Familiarity with turbomachinery analysis, gas turbine, or aircraft structural sizing aligns well with this role. Experience in multidisciplinary optimization (MDO) is a plus, although not mandatory at this level. Furthermore, a background in composite materials analysis, as well as exposure to damage tolerance and fracture mechanics, would greatly enhance your fit for this position.
About the job
PhysicsX develops simulation software that uses AI to support engineering and manufacturing teams. The company’s origins are in numerical physics and Formula One, and its client base now includes sectors such as aerospace and defense, materials, energy, semiconductors, and automotive.
Engineers use the PhysicsX platform to run detailed, multi-physics simulations powered by AI inference. This technology aids optimization and automation throughout the engineering process, from design through manufacturing and operations. The team’s mission is to accelerate hardware innovation and broaden the possibilities for engineers.
About PhysicsX
At PhysicsX, we are driven by a passion for innovation and excellence in the field of numerical physics. Our team is composed of experts dedicated to enhancing engineering capabilities through advanced simulation technologies. By prioritizing collaboration and cutting-edge research, we are committed to shaping the future of hardware innovation across various sectors.
PhysicsX develops simulation software that uses AI to support engineering and manufacturing teams. The company’s origins are in numerical physics and Formula One, and its client base now includes sectors such as aerospace and defense, materials, energy, semiconductors, and automotive. Engineers use the PhysicsX platform to run detailed, multi-physics simulations powered by AI inference. This technology aids optimization and automation throughout the engineering process, from design through manufacturing and operations. The team’s mission is to accelerate hardware innovation and broaden the possibilities for engineers.
Bedrock Robotics is building practical autonomous systems for heavy construction equipment, aiming to accelerate major infrastructure projects and improve safety nationwide. With $350 million in funding, the company focuses on bringing artificial intelligence out of the lab and into real-world applications, addressing urgent needs in housing, data centers, and manufacturing. The team includes engineers and leaders with experience at Waymo, Segment, and Uber Freight. This position sits at the intersection of advanced algorithms and real-world engineering. Simulation Infrastructure Engineers at Bedrock Robotics work closely with both construction experts and engineers to solve challenges that go beyond what simulations alone can handle. The role offers the chance to contribute to impactful projects and occasionally operate heavy machinery, including 100,000 lb excavators. Role overview This Simulation Infrastructure Engineer role is the main point of contact for simulation within the Cloud team, with a focus on integrating simulators into the Bedrock Cloud platform. The position supports simulation and machine learning engineers by improving the efficiency and reliability of simulation workflows. Collaboration with the Sim team is central, ensuring simulators, scenarios, and evaluations are well supported. The role covers distributed systems, deployment infrastructure, data pipelines, and internal tools that help transform simulators into core assets for the company. What you will do Integrate simulators with the Cloud platform. Manage the integration of simulator jobs, focusing on packaging physics and rendering components, instrumentation, and scalability within the Cloud environment. Automate simulation execution. Streamline simulation workflows in continuous integration (CI), maintaining fast and reliable nightly runs that validate releases. Act as a liaison for simulation engineers. Translate the Sim team's requirements into platform improvements, advocate for composable building blocks within the Cloud, and work to remove workflow friction.
Full-time|On-site|Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA
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.
Join AECOM as the Rail Operations and Simulations Planning Lead, where you will spearhead innovative planning initiatives within the rail sector. This role is pivotal in enhancing operational efficiencies and driving strategic simulations to optimize rail services. You will collaborate with cross-functional teams to design and implement advanced simulation models, ensuring that our rail operations meet safety and efficiency standards.
Join mecka.ai as a Computer Vision Researcher specializing in Simulation and Embodied AI. In this exciting role, you will engage in cutting-edge research and development projects aimed at advancing the field of computer vision. You will collaborate with a dynamic team of experts to innovate and implement machine learning algorithms that enhance visual perception in artificial intelligence applications.
About UsMirror Physics is an innovative AI company located in New York, pioneering the realm of scientific simulation. Our mission is to create intelligent systems that grasp the fundamental principles of physics, significantly enhancing the pace of technological research and development. Currently, we are developing a leading AI platform capable of predicting experimental outcomes in chemistry and materials science, seamlessly integrated with real-world high-throughput experimental validation. This initiative aims to bolster advancements in biotech, energy, manufacturing, and other critical sectors. With the support of top-tier investors and scientific authorities, we are expanding our research team at a critical juncture in our industry.Your RoleAs the head of the reasoning team at Mirror, you will be responsible for designing and engineering intelligent systems that efficiently manage scientific simulation frameworks, including quantum chemistry and molecular dynamics. You will interpret simulation results and adapt future actions accordingly. Your contributions will facilitate the development of autonomous R&D processes that plan experiments, allocate computational resources, and derive insights in real-time, making cutting-edge simulation techniques applicable to large-scale industrial challenges.Key ResponsibilitiesDesign and implement LLM-based intelligent agents for planning, scheduling, and monitoring complex simulation campaigns (DFT, ab-initio MD, reactive force-field).Create reinforcement-learning or curriculum-learning frameworks that train agents to optimize exploration, accuracy, and cost across varied computational resources.Incorporate domain-specific knowledge graphs, symbolic reasoning engines, and uncertainty quantifications into the systems.Develop analytical tools that elucidate agent decision-making, identify root causes of simulation failures, and assess downstream business impacts.Establish robust orchestration pipelines (Ray/Kubernetes/SLURM) for on-premise HPC and cloud GPU clusters, ensuring fault tolerance and provenance tracking.Collaborate closely with foundation model teams to integrate high-level reasoning with foundational atomistic predictions.Participate in the AI-for-science community by contributing to publications and presenting at conferences such as NeurIPS, ICML, and ICLR.QualificationsPh.D. or an M.S./B.S. with equivalent research background in Computer Science, Applied Mathematics, or a related field, with a focus on scientific computing and AI.Proven experience in designing complex algorithms and intelligent systems.Strong programming skills in languages such as Python, C++, or similar.Familiarity with machine learning frameworks and tools.Excellent communication and collaboration abilities.
Role overview Smith Engineering is seeking a Director of Design Engineering to lead its design team in New York City. This leader will oversee the development of engineering solutions that meet client requirements and comply with industry standards. The role involves shaping project direction and supporting the growth of a skilled group of engineers. What you will do Guide and manage the design engineering team Drive the creation of efficient, high-quality engineering designs Ensure all work aligns with client needs and industry standards Mentor and develop engineering talent within the team Influence the direction of engineering projects at Smith Engineering
About the Role Smith Engineering is hiring a Director of Energy Engineering to guide the energy solutions team in New York City. This senior leader will shape project direction and help set the strategy for energy initiatives across our portfolio. What You Will Do Lead a team focused on delivering energy engineering projects Develop and implement strategies that strengthen our energy solutions Oversee project execution and ensure alignment with company goals What We’re Looking For Extensive experience in energy engineering Proven leadership and team management skills Ability to drive strategic initiatives in a technical environment This position is based in New York City.
Full-time|$120K/yr - $120K/yr|On-site|New York, United States
About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to propelling hardware advancements at software pace.We are developing an AI-driven simulation software suite for engineering and manufacturing across cutting-edge industries. Our technology facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unprecedented levels of optimization and automation in design, manufacturing, and operations. This empowers engineers to expand the limits of what’s possible. Our clientele includes top pioneers in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are actively hiring for various roles; please apply only for the position that aligns best with your expertise and career aspirations.Who We’re Looking ForAs a Senior Machine Learning Engineer in Delivery, you are a seasoned problem solver and technical leader focused on generating impactful solutions. You possess the ability to grasp complex engineering concepts across diverse industries, spearhead technical initiatives, and work directly with clients—often collaborating on-site—to integrate cutting-edge AI models into practical tools.You have successfully delivered ML systems end-to-end and at scale: designing, building, and testing reliable, scalable ML data pipelines; you are adept at exploring and manipulating 3D point-cloud and mesh data to facilitate geometry-aware modeling; you select optimal libraries, frameworks, and tools, making practical product decisions that pave the way for Delivery's success. Operating at the intersection of data science and software engineering, you transform R&D and project outputs into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are prepared to not only execute but also lead and mentor others. You are passionate about taking ownership of intricate work streams and guiding teams towards success, while continuously enhancing the systems and solutions you engage with to meet the evolving needs of our clients.This RoleAs a Senior Machine Learning Engineer, you will collaborate closely with our Data Scientists, Simulation Engineers, and clients to comprehend and define the engineering and physics challenges we are addressing. You will engage with clients and leverage your influence to guide decisions around reliable deployment with tangible outcomes.You will:Own the deployment of...
Full-time|$175K/yr - $200K/yr|On-site|New York, New York, United States
Trexquant is a systematic fund in New York specializing in quantitative finance. The firm’s team brings together researchers and engineers who focus on advancing its quantitative platform and trading operations. Role overview The C++ Trading and Simulation Engineer will be part of Trexquant’s technology group. This role centers on building and enhancing trading systems and analytics platforms that underpin the firm’s algorithmic strategies. What you will do Collaborate with quantitative researchers and traders to design, implement, and optimize high-performance systems for algorithmic trading. Develop and maintain infrastructure for trading simulations, including data pipelines and low-latency execution platforms. Contribute to the ongoing development and improvement of tools supporting trading and research. Requirements Extensive experience with C++ development. Background in building scalable, low-latency, high-throughput systems. Demonstrated ability to develop and maintain complex infrastructure for trading or related applications. Location This position is based in New York, NY.
Full-time|$200K/yr - $300K/yr|On-site|New York City
About UsAt PhysicsX, we are revolutionizing the landscape of hardware innovation by leveraging our expertise in numerical physics and our experience in Formula One. Our mission is to expedite the pace of hardware advancements akin to the rapid developments seen in software.We are developing an AI-enhanced simulation software suite aimed at transforming engineering and manufacturing across cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX empowers engineers to achieve unprecedented levels of optimization and automation in design, manufacturing, and operational processes. Our clientele includes top-tier innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.The RoleAs our Principal Security Engineer, you will collaborate closely with engineering teams to design and implement robust secure development practices, embed security measures within our CI/CD pipeline, and guide security and design reviews.You will leverage your extensive expertise in DevSecOps, application security, and practical experience in securing web applications and APIs, all while possessing a deep understanding of contemporary development workflows. This role presents an exceptional opportunity to influence the direction of our security initiatives within a high-ownership, impactful environment.Your ResponsibilitiesDesign and integrate security tools directly into CI/CD pipelines to automate vulnerability detection and prevention, ensuring scalable 'shift-left' security.Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.Manage the entire product vulnerability lifecycle, from issue triage and prioritization to remediation support, ensuring clear risk communication.Establish secure coding standards, create comprehensive playbooks, and deliver hands-on training and mentorship to foster a security-first culture across the organization.Collaborate cross-functionally with engineering teams to design and scale secure development practices throughout the software lifecycle.Engage with customers during security assessments.Your QualificationsOver 10 years of experience in security, focusing on DevSecOps and security design reviews.Hands-on expertise in secure coding, comprehensive understanding of OWASP Top 10, threat modeling, and SDLC integration.Proficiency with GitHub/GitLab, CI/CD, Infrastructure as Code (IaC), and containerized environments.Experience with deploying and utilizing SAST tools (e.g., Semgrep, Snyk).Strong development skills in Python and Go.A proven track record of balancing pragmatic security solutions with business needs.
At Smith Engineering, we are on a mission to foster a sustainable future through enhanced operations and efficiency in critical facilities. With over a decade of experience in central plant design and optimization, we have built a strong reputation for unraveling facility challenges and optimizing plant performance. Our multidisciplinary team combines expertise in design, energy management, controls, and workforce development to empower our clients to achieve their operational and sustainability objectives.We are currently looking for passionate and knowledgeable Part-Time Technical Trainers to join our dynamic team in the New York Metro area. In this role, you will work from our Manhattan office as well as various client sites, delivering impactful training in renewable energy and Chiller Plant Design.Your RoleAs a key member of our Training Group, you will contribute to building a top-tier technical training organization. We seek individuals who possess credible technical expertise and a knack for creating engaging learning experiences tailored to diverse audiences.
About UsAt Simile, we believe that critical decisions should be informed by data and insights, not left to chance. Our revolutionary AI simulation of society enables organizations to model human behavior with unprecedented accuracy, empowering them to make informed choices before they act.With $100 million in funding from notable investors such as Index Ventures and leading AI experts like Andrej Karpathy and Fei-Fei Li, we are at the forefront of AI-driven innovation, helping companies navigate complex scenarios, from financial forecasting to policy testing.Your RoleWe are looking for a Finance & Operations Lead who will take charge of establishing robust financial and operational frameworks as we scale following our Series A funding. You will bring your expertise in creating best-in-class financial systems and processes, starting from a solid assessment of our current infrastructure.In this pivotal role, you will collaborate with leadership to refine our operational strategies and oversee the implementation of your recommendations, ensuring that we build a sustainable and efficient finance function.Key ResponsibilitiesFinance Systems & Controls: Evaluate existing financial and operational systems, develop a strategic roadmap, and lead the selection and deployment of necessary tools.Financial Operations: Manage the chart of accounts, oversee the closing process, financial reporting, AP/AR workflows, vendor payments, and expense management.External Partnerships: Act as the main point of contact for external accountants, tax advisors, and auditors, ensuring effective communication and timely deliverables.
CLO Virtual Fashion, established in 2009, is at the forefront of revolutionizing the digital fashion landscape through its exceptional 3D clothing simulation technology.Our company offers a comprehensive range of clothing-related services encompassing the entire lifecycle from concept to design, manufacturing, marketing, fitting, and styling, all powered by advanced 3D clothing simulation algorithms.We utilize innovative costume design software such as CLO, Marvelous Designer, and Jinny, and are actively engaged in the complete costume development journey with specialized platforms including CLO-SET and CONNECT to create efficient and sustainable workflows. Our integrated solutions enable the seamless tagging of physical and digital garments within the CLO ecosystem.As a leader in the global digital fashion market, CLO Virtual Fashion operates 13 offices across 11 countries, spanning Asia, North America, Europe, and South America, and continues to expand its reach with a diverse customer base worldwide.Position OverviewWe are seeking a dynamic Business Development Manager to collaborate with the VP of Business Development and fellow team members in implementing our cutting-edge 3D garment software across various sectors, including fashion, apparel, accessories, soft toys, and home goods.Key responsibilities include presenting our innovative vision and products to potential clients, leading the implementation process, coordinating with the 3D Design Team for effective training and onboarding, and analyzing client growth and expansion opportunities.
About SimileAt Simile, we are pioneering an innovative simulation platform that harnesses the power of AI to accurately model human behavior at scale. Our founders, Joon S. Park, Percy Liang, and Michael Bernstein, are esteemed academics from Stanford University, with extensive expertise in AI and human-centered design. With a robust $100M Series A funding from Index Ventures, along with support from notable investors such as Hanabi, A*, and Bain Capital Ventures, we're positioned at the cutting edge of AI development.Team OverviewSimile comprises a tight-knit team of dedicated operators and researchers who prioritize clarity, curiosity, and craftsmanship. We transform groundbreaking research into actionable software solutions utilized by some of the most prestigious organizations globally. Our culture emphasizes rapid learning, significant ownership, and a high-trust environment.Position SummaryAs a Go-To-Market (GTM) Specialist at Simile, you'll be integrated into our enterprise account teams and collaborate closely with seasoned team members. You will manage 2-3 customer engagements, overseeing deployment efforts and addressing daily customer requirements while becoming proficient in Simile's platform for effective technical dialogues. Your goal is to independently manage accounts within a year.Candidates who thrive in this role are passionate about customer experiences, skilled at building strong relationships, adept at solving complex problems, and detail-oriented. You'll enjoy a fast-paced environment with early ownership opportunities, working in tandem with product and research teams to tackle challenges faced by Fortune 500 companies across various sectors.
About UsMirror Physics is an innovative AI company based in New York City, pioneering the next generation of scientific simulation technologies. Our mission is to create intelligent systems that grasp the fundamental principles of physics, thereby providing essential acceleration for advanced research and development across various technological fields. We are currently developing a leading-edge AI platform that predicts experimental outcomes in chemistry and materials science, seamlessly integrating physical simulation with high-throughput experimental verification. This endeavor aims to hasten discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific experts, we are seeking to expand our research team during this crucial period in the industry.The RoleAs the principal AI researcher focusing on physics model development, you will lead efforts in designing innovative architectures, training algorithms, and evaluation processes to transform vast amounts of physical simulation data into scalable, precise, and versatile predictive engines applicable in both scientific and industrial contexts.Key ResponsibilitiesCreate robust, scalable, and universally applicable atomistic models with high fidelity across various chemical domains.Compile diverse and multi-fidelity datasets into cohesive training corpora; innovate new objectives to enhance data efficiency.Produce groundbreaking datasets that encompass an unmatched variety of chemical systems, consistently computed at the highest theoretical levels suitable for general chemistries.Design diagnostic tools for model performance evaluation, failure mode assessment, and uncertainty quantification; propose new benchmarks to rigorously test predictive accuracy, physical consistency, and extrapolation capabilities.Develop downstream tools to improve model precision and processing speed, including model distillation and fine-tuning techniques.Collaborate with the AI-for-science community through research publications and contributions at leading conferences such as NeurIPS, ICML, and ICLR.Mentor junior researchers and work closely with applied science and engineering teams.
Role Overview Ware Malcomb is hiring a Project Engineer focused on Electrical Engineering in New York, NY. This position takes responsibility for planning, designing, and managing electrical systems across multiple projects. What You Will Do Oversee the full cycle of electrical system projects, from initial planning through execution. Work closely with architects, contractors, and clients to confirm all engineering specifications are met. Monitor project budgets and schedules to keep work on track and within scope.
Barton & Loguidice, D.P.C. is actively looking for a dedicated Water/Wastewater Engineer to join our Albany office. As a member of our dynamic team of engineering professionals, you will play a key role in enhancing public infrastructure in our communities and throughout the Northeast. Successful candidates will collaborate within project-focused teams to deliver innovative engineering solutions.Your technical responsibilities will encompass a variety of tasks related to water and sewer infrastructure, including:Civil engineering assignmentsPreparation of engineering reportsDesign calculationsCost estimationFunding and grant applicationsCreation of specifications and design drawingsCoordination and compliance for funding programs and permitsEngineering support during the construction phase
Join our team of innovative professionals dedicated to excellence and sustainability in engineering.About the PositionENERCON is a leading multi-disciplinary engineering and environmental services firm that champions efficiency and sustainability across the energy, power, and technology sectors. Our commitment to employee growth and professional development fosters a culture of excellence.As part of our expanding Nuclear Service Group, we are currently seeking a Civil/Structural Engineer to join our team at either our Baton Rouge, LA or Kennesaw, GA office.Key Responsibilities:Collaborate effectively with multidisciplinary teams, understanding the roles of various engineering disciplines involved in projects.Review and validate designs, drawings, and data provided by team members and subcontractors.Conduct design studies, develop project scopes, and provide accurate engineering estimates.Oversee budget, scope, timeline, and quality for assigned work with minimal supervision.Prepare specifications for electrical equipment procurement and installation, evaluating technical bids for optimal selections.Innovate and devise solutions for complex technical challenges.Engage in field installations, checkouts, and startup processes, requiring occasional travel.Lead and guide both routine and advanced technical tasks performed by project teams, ensuring adherence to quality standards.
Join our dynamic team at stemxpert1 as a Senior Project Engineer / Equipment Engineer. In this pivotal role, you will lead and manage engineering projects, ensuring the successful execution of innovative solutions within our organization. Your expertise will be crucial in overseeing equipment design and implementation, contributing to our mission of excellence in engineering.
PhysicsX develops simulation software that uses AI to support engineering and manufacturing teams. The company’s origins are in numerical physics and Formula One, and its client base now includes sectors such as aerospace and defense, materials, energy, semiconductors, and automotive. Engineers use the PhysicsX platform to run detailed, multi-physics simulations powered by AI inference. This technology aids optimization and automation throughout the engineering process, from design through manufacturing and operations. The team’s mission is to accelerate hardware innovation and broaden the possibilities for engineers.
Bedrock Robotics is building practical autonomous systems for heavy construction equipment, aiming to accelerate major infrastructure projects and improve safety nationwide. With $350 million in funding, the company focuses on bringing artificial intelligence out of the lab and into real-world applications, addressing urgent needs in housing, data centers, and manufacturing. The team includes engineers and leaders with experience at Waymo, Segment, and Uber Freight. This position sits at the intersection of advanced algorithms and real-world engineering. Simulation Infrastructure Engineers at Bedrock Robotics work closely with both construction experts and engineers to solve challenges that go beyond what simulations alone can handle. The role offers the chance to contribute to impactful projects and occasionally operate heavy machinery, including 100,000 lb excavators. Role overview This Simulation Infrastructure Engineer role is the main point of contact for simulation within the Cloud team, with a focus on integrating simulators into the Bedrock Cloud platform. The position supports simulation and machine learning engineers by improving the efficiency and reliability of simulation workflows. Collaboration with the Sim team is central, ensuring simulators, scenarios, and evaluations are well supported. The role covers distributed systems, deployment infrastructure, data pipelines, and internal tools that help transform simulators into core assets for the company. What you will do Integrate simulators with the Cloud platform. Manage the integration of simulator jobs, focusing on packaging physics and rendering components, instrumentation, and scalability within the Cloud environment. Automate simulation execution. Streamline simulation workflows in continuous integration (CI), maintaining fast and reliable nightly runs that validate releases. Act as a liaison for simulation engineers. Translate the Sim team's requirements into platform improvements, advocate for composable building blocks within the Cloud, and work to remove workflow friction.
Full-time|On-site|Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA
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.
Join AECOM as the Rail Operations and Simulations Planning Lead, where you will spearhead innovative planning initiatives within the rail sector. This role is pivotal in enhancing operational efficiencies and driving strategic simulations to optimize rail services. You will collaborate with cross-functional teams to design and implement advanced simulation models, ensuring that our rail operations meet safety and efficiency standards.
Join mecka.ai as a Computer Vision Researcher specializing in Simulation and Embodied AI. In this exciting role, you will engage in cutting-edge research and development projects aimed at advancing the field of computer vision. You will collaborate with a dynamic team of experts to innovate and implement machine learning algorithms that enhance visual perception in artificial intelligence applications.
About UsMirror Physics is an innovative AI company located in New York, pioneering the realm of scientific simulation. Our mission is to create intelligent systems that grasp the fundamental principles of physics, significantly enhancing the pace of technological research and development. Currently, we are developing a leading AI platform capable of predicting experimental outcomes in chemistry and materials science, seamlessly integrated with real-world high-throughput experimental validation. This initiative aims to bolster advancements in biotech, energy, manufacturing, and other critical sectors. With the support of top-tier investors and scientific authorities, we are expanding our research team at a critical juncture in our industry.Your RoleAs the head of the reasoning team at Mirror, you will be responsible for designing and engineering intelligent systems that efficiently manage scientific simulation frameworks, including quantum chemistry and molecular dynamics. You will interpret simulation results and adapt future actions accordingly. Your contributions will facilitate the development of autonomous R&D processes that plan experiments, allocate computational resources, and derive insights in real-time, making cutting-edge simulation techniques applicable to large-scale industrial challenges.Key ResponsibilitiesDesign and implement LLM-based intelligent agents for planning, scheduling, and monitoring complex simulation campaigns (DFT, ab-initio MD, reactive force-field).Create reinforcement-learning or curriculum-learning frameworks that train agents to optimize exploration, accuracy, and cost across varied computational resources.Incorporate domain-specific knowledge graphs, symbolic reasoning engines, and uncertainty quantifications into the systems.Develop analytical tools that elucidate agent decision-making, identify root causes of simulation failures, and assess downstream business impacts.Establish robust orchestration pipelines (Ray/Kubernetes/SLURM) for on-premise HPC and cloud GPU clusters, ensuring fault tolerance and provenance tracking.Collaborate closely with foundation model teams to integrate high-level reasoning with foundational atomistic predictions.Participate in the AI-for-science community by contributing to publications and presenting at conferences such as NeurIPS, ICML, and ICLR.QualificationsPh.D. or an M.S./B.S. with equivalent research background in Computer Science, Applied Mathematics, or a related field, with a focus on scientific computing and AI.Proven experience in designing complex algorithms and intelligent systems.Strong programming skills in languages such as Python, C++, or similar.Familiarity with machine learning frameworks and tools.Excellent communication and collaboration abilities.
Role overview Smith Engineering is seeking a Director of Design Engineering to lead its design team in New York City. This leader will oversee the development of engineering solutions that meet client requirements and comply with industry standards. The role involves shaping project direction and supporting the growth of a skilled group of engineers. What you will do Guide and manage the design engineering team Drive the creation of efficient, high-quality engineering designs Ensure all work aligns with client needs and industry standards Mentor and develop engineering talent within the team Influence the direction of engineering projects at Smith Engineering
About the Role Smith Engineering is hiring a Director of Energy Engineering to guide the energy solutions team in New York City. This senior leader will shape project direction and help set the strategy for energy initiatives across our portfolio. What You Will Do Lead a team focused on delivering energy engineering projects Develop and implement strategies that strengthen our energy solutions Oversee project execution and ensure alignment with company goals What We’re Looking For Extensive experience in energy engineering Proven leadership and team management skills Ability to drive strategic initiatives in a technical environment This position is based in New York City.
Full-time|$120K/yr - $120K/yr|On-site|New York, United States
About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to propelling hardware advancements at software pace.We are developing an AI-driven simulation software suite for engineering and manufacturing across cutting-edge industries. Our technology facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unprecedented levels of optimization and automation in design, manufacturing, and operations. This empowers engineers to expand the limits of what’s possible. Our clientele includes top pioneers in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are actively hiring for various roles; please apply only for the position that aligns best with your expertise and career aspirations.Who We’re Looking ForAs a Senior Machine Learning Engineer in Delivery, you are a seasoned problem solver and technical leader focused on generating impactful solutions. You possess the ability to grasp complex engineering concepts across diverse industries, spearhead technical initiatives, and work directly with clients—often collaborating on-site—to integrate cutting-edge AI models into practical tools.You have successfully delivered ML systems end-to-end and at scale: designing, building, and testing reliable, scalable ML data pipelines; you are adept at exploring and manipulating 3D point-cloud and mesh data to facilitate geometry-aware modeling; you select optimal libraries, frameworks, and tools, making practical product decisions that pave the way for Delivery's success. Operating at the intersection of data science and software engineering, you transform R&D and project outputs into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are prepared to not only execute but also lead and mentor others. You are passionate about taking ownership of intricate work streams and guiding teams towards success, while continuously enhancing the systems and solutions you engage with to meet the evolving needs of our clients.This RoleAs a Senior Machine Learning Engineer, you will collaborate closely with our Data Scientists, Simulation Engineers, and clients to comprehend and define the engineering and physics challenges we are addressing. You will engage with clients and leverage your influence to guide decisions around reliable deployment with tangible outcomes.You will:Own the deployment of...
Full-time|$175K/yr - $200K/yr|On-site|New York, New York, United States
Trexquant is a systematic fund in New York specializing in quantitative finance. The firm’s team brings together researchers and engineers who focus on advancing its quantitative platform and trading operations. Role overview The C++ Trading and Simulation Engineer will be part of Trexquant’s technology group. This role centers on building and enhancing trading systems and analytics platforms that underpin the firm’s algorithmic strategies. What you will do Collaborate with quantitative researchers and traders to design, implement, and optimize high-performance systems for algorithmic trading. Develop and maintain infrastructure for trading simulations, including data pipelines and low-latency execution platforms. Contribute to the ongoing development and improvement of tools supporting trading and research. Requirements Extensive experience with C++ development. Background in building scalable, low-latency, high-throughput systems. Demonstrated ability to develop and maintain complex infrastructure for trading or related applications. Location This position is based in New York, NY.
Full-time|$200K/yr - $300K/yr|On-site|New York City
About UsAt PhysicsX, we are revolutionizing the landscape of hardware innovation by leveraging our expertise in numerical physics and our experience in Formula One. Our mission is to expedite the pace of hardware advancements akin to the rapid developments seen in software.We are developing an AI-enhanced simulation software suite aimed at transforming engineering and manufacturing across cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX empowers engineers to achieve unprecedented levels of optimization and automation in design, manufacturing, and operational processes. Our clientele includes top-tier innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.The RoleAs our Principal Security Engineer, you will collaborate closely with engineering teams to design and implement robust secure development practices, embed security measures within our CI/CD pipeline, and guide security and design reviews.You will leverage your extensive expertise in DevSecOps, application security, and practical experience in securing web applications and APIs, all while possessing a deep understanding of contemporary development workflows. This role presents an exceptional opportunity to influence the direction of our security initiatives within a high-ownership, impactful environment.Your ResponsibilitiesDesign and integrate security tools directly into CI/CD pipelines to automate vulnerability detection and prevention, ensuring scalable 'shift-left' security.Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.Manage the entire product vulnerability lifecycle, from issue triage and prioritization to remediation support, ensuring clear risk communication.Establish secure coding standards, create comprehensive playbooks, and deliver hands-on training and mentorship to foster a security-first culture across the organization.Collaborate cross-functionally with engineering teams to design and scale secure development practices throughout the software lifecycle.Engage with customers during security assessments.Your QualificationsOver 10 years of experience in security, focusing on DevSecOps and security design reviews.Hands-on expertise in secure coding, comprehensive understanding of OWASP Top 10, threat modeling, and SDLC integration.Proficiency with GitHub/GitLab, CI/CD, Infrastructure as Code (IaC), and containerized environments.Experience with deploying and utilizing SAST tools (e.g., Semgrep, Snyk).Strong development skills in Python and Go.A proven track record of balancing pragmatic security solutions with business needs.
At Smith Engineering, we are on a mission to foster a sustainable future through enhanced operations and efficiency in critical facilities. With over a decade of experience in central plant design and optimization, we have built a strong reputation for unraveling facility challenges and optimizing plant performance. Our multidisciplinary team combines expertise in design, energy management, controls, and workforce development to empower our clients to achieve their operational and sustainability objectives.We are currently looking for passionate and knowledgeable Part-Time Technical Trainers to join our dynamic team in the New York Metro area. In this role, you will work from our Manhattan office as well as various client sites, delivering impactful training in renewable energy and Chiller Plant Design.Your RoleAs a key member of our Training Group, you will contribute to building a top-tier technical training organization. We seek individuals who possess credible technical expertise and a knack for creating engaging learning experiences tailored to diverse audiences.
About UsAt Simile, we believe that critical decisions should be informed by data and insights, not left to chance. Our revolutionary AI simulation of society enables organizations to model human behavior with unprecedented accuracy, empowering them to make informed choices before they act.With $100 million in funding from notable investors such as Index Ventures and leading AI experts like Andrej Karpathy and Fei-Fei Li, we are at the forefront of AI-driven innovation, helping companies navigate complex scenarios, from financial forecasting to policy testing.Your RoleWe are looking for a Finance & Operations Lead who will take charge of establishing robust financial and operational frameworks as we scale following our Series A funding. You will bring your expertise in creating best-in-class financial systems and processes, starting from a solid assessment of our current infrastructure.In this pivotal role, you will collaborate with leadership to refine our operational strategies and oversee the implementation of your recommendations, ensuring that we build a sustainable and efficient finance function.Key ResponsibilitiesFinance Systems & Controls: Evaluate existing financial and operational systems, develop a strategic roadmap, and lead the selection and deployment of necessary tools.Financial Operations: Manage the chart of accounts, oversee the closing process, financial reporting, AP/AR workflows, vendor payments, and expense management.External Partnerships: Act as the main point of contact for external accountants, tax advisors, and auditors, ensuring effective communication and timely deliverables.
CLO Virtual Fashion, established in 2009, is at the forefront of revolutionizing the digital fashion landscape through its exceptional 3D clothing simulation technology.Our company offers a comprehensive range of clothing-related services encompassing the entire lifecycle from concept to design, manufacturing, marketing, fitting, and styling, all powered by advanced 3D clothing simulation algorithms.We utilize innovative costume design software such as CLO, Marvelous Designer, and Jinny, and are actively engaged in the complete costume development journey with specialized platforms including CLO-SET and CONNECT to create efficient and sustainable workflows. Our integrated solutions enable the seamless tagging of physical and digital garments within the CLO ecosystem.As a leader in the global digital fashion market, CLO Virtual Fashion operates 13 offices across 11 countries, spanning Asia, North America, Europe, and South America, and continues to expand its reach with a diverse customer base worldwide.Position OverviewWe are seeking a dynamic Business Development Manager to collaborate with the VP of Business Development and fellow team members in implementing our cutting-edge 3D garment software across various sectors, including fashion, apparel, accessories, soft toys, and home goods.Key responsibilities include presenting our innovative vision and products to potential clients, leading the implementation process, coordinating with the 3D Design Team for effective training and onboarding, and analyzing client growth and expansion opportunities.
About SimileAt Simile, we are pioneering an innovative simulation platform that harnesses the power of AI to accurately model human behavior at scale. Our founders, Joon S. Park, Percy Liang, and Michael Bernstein, are esteemed academics from Stanford University, with extensive expertise in AI and human-centered design. With a robust $100M Series A funding from Index Ventures, along with support from notable investors such as Hanabi, A*, and Bain Capital Ventures, we're positioned at the cutting edge of AI development.Team OverviewSimile comprises a tight-knit team of dedicated operators and researchers who prioritize clarity, curiosity, and craftsmanship. We transform groundbreaking research into actionable software solutions utilized by some of the most prestigious organizations globally. Our culture emphasizes rapid learning, significant ownership, and a high-trust environment.Position SummaryAs a Go-To-Market (GTM) Specialist at Simile, you'll be integrated into our enterprise account teams and collaborate closely with seasoned team members. You will manage 2-3 customer engagements, overseeing deployment efforts and addressing daily customer requirements while becoming proficient in Simile's platform for effective technical dialogues. Your goal is to independently manage accounts within a year.Candidates who thrive in this role are passionate about customer experiences, skilled at building strong relationships, adept at solving complex problems, and detail-oriented. You'll enjoy a fast-paced environment with early ownership opportunities, working in tandem with product and research teams to tackle challenges faced by Fortune 500 companies across various sectors.
About UsMirror Physics is an innovative AI company based in New York City, pioneering the next generation of scientific simulation technologies. Our mission is to create intelligent systems that grasp the fundamental principles of physics, thereby providing essential acceleration for advanced research and development across various technological fields. We are currently developing a leading-edge AI platform that predicts experimental outcomes in chemistry and materials science, seamlessly integrating physical simulation with high-throughput experimental verification. This endeavor aims to hasten discoveries in biotechnology, energy, manufacturing, and more. Supported by top-tier investors and scientific experts, we are seeking to expand our research team during this crucial period in the industry.The RoleAs the principal AI researcher focusing on physics model development, you will lead efforts in designing innovative architectures, training algorithms, and evaluation processes to transform vast amounts of physical simulation data into scalable, precise, and versatile predictive engines applicable in both scientific and industrial contexts.Key ResponsibilitiesCreate robust, scalable, and universally applicable atomistic models with high fidelity across various chemical domains.Compile diverse and multi-fidelity datasets into cohesive training corpora; innovate new objectives to enhance data efficiency.Produce groundbreaking datasets that encompass an unmatched variety of chemical systems, consistently computed at the highest theoretical levels suitable for general chemistries.Design diagnostic tools for model performance evaluation, failure mode assessment, and uncertainty quantification; propose new benchmarks to rigorously test predictive accuracy, physical consistency, and extrapolation capabilities.Develop downstream tools to improve model precision and processing speed, including model distillation and fine-tuning techniques.Collaborate with the AI-for-science community through research publications and contributions at leading conferences such as NeurIPS, ICML, and ICLR.Mentor junior researchers and work closely with applied science and engineering teams.
Role Overview Ware Malcomb is hiring a Project Engineer focused on Electrical Engineering in New York, NY. This position takes responsibility for planning, designing, and managing electrical systems across multiple projects. What You Will Do Oversee the full cycle of electrical system projects, from initial planning through execution. Work closely with architects, contractors, and clients to confirm all engineering specifications are met. Monitor project budgets and schedules to keep work on track and within scope.
Barton & Loguidice, D.P.C. is actively looking for a dedicated Water/Wastewater Engineer to join our Albany office. As a member of our dynamic team of engineering professionals, you will play a key role in enhancing public infrastructure in our communities and throughout the Northeast. Successful candidates will collaborate within project-focused teams to deliver innovative engineering solutions.Your technical responsibilities will encompass a variety of tasks related to water and sewer infrastructure, including:Civil engineering assignmentsPreparation of engineering reportsDesign calculationsCost estimationFunding and grant applicationsCreation of specifications and design drawingsCoordination and compliance for funding programs and permitsEngineering support during the construction phase
Join our team of innovative professionals dedicated to excellence and sustainability in engineering.About the PositionENERCON is a leading multi-disciplinary engineering and environmental services firm that champions efficiency and sustainability across the energy, power, and technology sectors. Our commitment to employee growth and professional development fosters a culture of excellence.As part of our expanding Nuclear Service Group, we are currently seeking a Civil/Structural Engineer to join our team at either our Baton Rouge, LA or Kennesaw, GA office.Key Responsibilities:Collaborate effectively with multidisciplinary teams, understanding the roles of various engineering disciplines involved in projects.Review and validate designs, drawings, and data provided by team members and subcontractors.Conduct design studies, develop project scopes, and provide accurate engineering estimates.Oversee budget, scope, timeline, and quality for assigned work with minimal supervision.Prepare specifications for electrical equipment procurement and installation, evaluating technical bids for optimal selections.Innovate and devise solutions for complex technical challenges.Engage in field installations, checkouts, and startup processes, requiring occasional travel.Lead and guide both routine and advanced technical tasks performed by project teams, ensuring adherence to quality standards.
Join our dynamic team at stemxpert1 as a Senior Project Engineer / Equipment Engineer. In this pivotal role, you will lead and manage engineering projects, ensuring the successful execution of innovative solutions within our organization. Your expertise will be crucial in overseeing equipment design and implementation, contributing to our mission of excellence in engineering.
Jun 28, 2016
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