The FEA Engineer will develop and automate complex multi-physics models for simulation and optimization, work with data scientists on engineering challenges, utilize advanced FEA software, and mentor junior staff while enhancing engineering practices.

The FEA Engineer will focus on developing and optimizing simulation models using Finite Element Analysis for various complex engineering challenges, including work with data scientists and automation of simulation pipelines. The role involves setting up multi-physics models, mentoring junior colleagues, and applying engineering best practices.

As a Front-end Engineer at PhysicsX, you will work on a platform for Data Scientists and Simulation Engineers, building and deploying Deep Physics Models. Collaborate within a cross-functional team, contributing to the architecture and implementation of the platform, while taking ownership of the development and production process.

As a Data Scientist, you will collaborate with simulation and machine learning engineers to address complex physics and engineering challenges. You will build advanced models, manage data science projects, develop reliable data pipelines, and engage with colleagues and clients to communicate your findings. You will contribute to R&D and product development.

The Senior Product Designer will lead design projects for enterprise clients, conducting user research, creating user-centered solutions, and collaborating with technical teams. This role requires mentorship of junior designers and will involve occasional travel to the US for client engagement.

As a Full Stack Engineer, you will develop and deploy applications utilizing Physics AI models, collaborating with data scientists and engineers to solve customer challenges. You'll build interactive front-ends in React, maintain RESTful APIs with FastAPI, and deploy microservices in cloud environments. Your proactive approach will help create impactful engineering tools for diverse industries.

As a Full Stack Engineer at PhysicsX, you will build and deploy applications using Physics AI models to solve engineering problems. Collaborating with customers and cross-functional teams, you will design interactive front-ends in React and maintain back-end services in Python, while iterating on feedback to create impactful tools for engineering.

As a Software Engineer at PhysicsX, you will develop machine learning applications to enhance physics simulations while collaborating with cross-functional teams. Your role involves building and deploying tools, maintaining RESTful APIs, and working closely with customers to solve engineering challenges. Emphasis is placed on innovation, customer-focused problem-solving, and rapid application iteration.

As a Software Engineer at PhysicsX, you will develop and deploy applications that utilize Physics AI models to solve engineering problems for clients. Your role involves collaborating with data scientists and engineers to design impactful tools and APIs while actively iterating based on user feedback.

The Simulation Engineer will develop and analyze electromagnetic models for applications like antenna design and wireless charging. They will create multi-physics simulations, optimize performance based on results, and collaborate with teams while mentoring junior staff. Responsibilities also include delivering technical projects and continuously improving engineering practices.

The role involves developing electromagnetic simulations, collaborating with data scientists, setting up multi-physics models, automating simulations, and mentoring junior engineers. The candidate will engage with high-frequency applications and utilize both HPC and cloud resources to optimize performance in various engineering domains.

As a Simulation Engineer - Casting Specialist, you will develop and automate multi-physics models to simulate complex metal casting processes. Collaborating with data scientists and machine learning engineers, you'll work on problem-solving challenges, enhance engineering practices, and mentor junior colleagues in a dynamic team environment.

The role involves developing complex multi-physics models for metal casting simulations, collaborating with data scientists and machine learning engineers, automating simulation processes, and delivering technical work while mentoring junior colleagues. The position focuses on advancing AI applications in simulation within various industries.

Data Scientist role at PhysicsX, a deep-tech company developing machine learning applications to accelerate physics simulations. Responsibilities include building models, delivering data science workstreams, designing data pipelines, and contributing to R&D. Seeking candidates with enthusiasm for machine learning, problem-solving skills, and a degree in a relevant field.

As an HPC Engineer at PhysicsX, you will enhance and design HPC/ML servers, support the IT strategy, and collaborate with teams to improve workflows. You will innovate within the technology stack, manage cloud infrastructure, and drive IT solutions aligned with business goals, while continuously learning and implementing best practices.

As a Backend Software Engineer at PhysicsX, you will develop a platform for Data Scientists and Simulation Engineers to create, train, and deploy physics-informed models. You'll collaborate on a cross-functional team to ensure quality and scalability, while engaging with domain experts to refine the software engineering practices.

The Product Designer will create user-centered solutions for enterprise-grade applications, developing intuitive designs through wireframes and prototypes, collaborating with cross-functional teams, and refining designs based on user feedback. They will also contribute to design systems and explore new trends in technology.

The Senior Product Designer will lead user-centric design for enterprise applications, conducting user research, creating wireframes, and collaborating with engineers and data scientists. They will maintain design systems, mentor junior designers, and innovate with emerging technologies to solve complex user challenges.

The Senior Cloud Engineer will develop and execute cloud strategies, manage Kubernetes clusters for machine learning workloads, enhance cloud engineering standards, and implement modern observability tools. This role includes collaboration with various teams to understand technical requirements and drive cloud-native service improvements.