Senior Simulation Data Engineer

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE POSITIONS ACROSS DIFFERENT LEVELS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. WHAT YOU WILL DO  * Shape Research group strategy and culture in a significant way, especially in domains of expertise. * Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. * Define necessary profiles to execute this strategy. * Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. * Nurture younger colleagues to grow their skillset and guide their professional development. * Own Research work-streams at a high-level to deliver outcomes. * Align priorities with problem stakeholders, internal and external. * Set the technical direction for the stream and apply judgement and taste to drive progress. * Plan roadmaps with clear milestones for key decisions and outcomes. * Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. * Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. * The below activities in particular. * Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. * Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. * Transform prototype model implementations to robust and optimised implementations. * Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. * Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. * Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. * Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. * Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. * Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor.   WHAT YOU BRING TO THE TABLE * Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. * Ability to work autonomously and scope and effectively deliver projects across a variety of domains. * Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills — with teams and customers alike. * MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: * scientific computing; * high-performance computing (CPU / GPU clusters); * parallelised / distributed training for large / foundation models. *  4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in most of the below: * * scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); * employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); * employing cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); * building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; * building or using C/C++ for computer vision, geometry processing, or scientific computing; * following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); * container-izing and orchestrating compute tasks (Docker, Kubernetes, Slurm); * writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. WHAT WE OFFER Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow…   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Freeform

SENIOR SIMULATION ENGINEER  Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. As a Simulation Engineer at Freeform, you will be responsible for developing physics-based, data-driven models that enable the first production scale, high quality, and fully automated metal 3D printing factory capability. We are looking for someone with deep knowledge in physical simulations and multi-physics phenomena who can develop sophisticated models from scratch for undefined or previously unsolved problem statements. This person needs to be comfortable working in an interdisciplinary environment that iterates quickly and decisively. 3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities:  * Develop high-performance numerical solvers for simulating the physics of advanced metal 3D printing systems * Implement numerical simulation models for real-time or near-real-time performance on HPC or GPU platforms * Work with software engineers to build and deploy physics-based and data-driven models of the laser powder bed fusion process * Work with software engineers to integrate low-level solvers into simulation pipelines and interface with hardware systems * Guide the integration of computational geometry and meshing techniques to support large-scale, physics-driven simulations * Architect simulation modules for execution on specialized compute hardware including FPGAs and GPUs * Contribute to the development of model-predictive control strategies alongside control engineers * Generate and maintain documentation for all algorithms, solvers, and integrated systems Basic Qualifications: * Bachelor’s degree in applied mathematics, physics, computer science, mechanical engineering, or a related technical field * 5+ years of professional experience developing custom simulation solvers with a bachelor’s degree, 2+ years of professional experience with a master’s degree, or a PhD in one of the above fields in lieu of industry experience * Demonstrated experience writing low-level numerical solvers for physical simulations * Strong programming skills in C, C++, or CUDA * Experience developing simulations in a high-performance compute environment (i.e. running on GPUs) * Academic or professional familiarity with solid mechanics, continuum mechanics, or other physical modeling domains Nice to Have: * MS or PhD in applied mathematics, physics, computer science, mechanical engineering, or a related field * Experience with real-time or near-real-time simulations on GPU or parallel computing platforms * Experience with direct numerical simulation (DNS) models * Familiarity with solid mechanics, continuum mechanics, or other physical modeling domains * Experience with thermo-elastic or thermo-elastoplastic modeling * Familiarity with computational geometry and meshing techniques * Experience with data-driven modeling techniques and hybrid physics/data simulation methods * Familiarity with optimization techniques and control theory * Experience with 2D and 3D meshing libraries and tools * Creative problem solver with a strong foundation in first-principles thinking and numerical analysis * Strong written and verbal communication skills Location: * Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. * Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions. What We Offer: * We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. * We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. * Benefits * Significant stock option packages * 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) * Life insurance * Traditional and Roth 401(k) * Relocation assistance provided  * Paid vacation, sick leave, and company holidays * Generous Paid Parental Leave and extended transition back to work for the birthing parent * Free daily catered lunch and dinner, and fully stocked kitchenette * Casual dress, flexible work hours, and regular catered team building events * Compensation   * As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.  * In addition to the significant stock option package, the estimated salary range for this role is $150,000-$225,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact. * Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

SL Rasch

IHRE AUFGABEN Simulation Leadership and Strategy * Lead, mentor, and develop the Simulation Engineers and Crowd Modelling Experts, with a clear focus on building a capable, autonomous, and resilient team rather than reliance on individual contributors. * Develop a deep understanding of each team member’s strengths, development areas, and capacity, and use this insight to allocate work effectively and support professional growth. * Establish clear roles, responsibilities, and expectations within the simulation team, ensuring work is structured, ownership is clear, and delivery is predictable and robust. * Provide regular technical guidance, structured reviews, and constructive feedback, ensuring that simulation outputs meet defined standards while progressively raising the technical maturity of the team. * Actively develop future senior simulation leads by coaching team members in technical judgment, communication of results, and interdisciplinary collaboration. * Contribute to recruitment, onboarding, and performance development, ensuring that new hires strengthen both the technical capability and cultural cohesion of the simulation discipline. * Foster a culture of accountability, curiosity, and continuous improvement, where team members understand not only how to run simulations, but why decisions are made and how their work contributes to project and organizational outcomes. * Define, maintain, and continuously improve simulation standards, methodologies, and best practices. * Ensure consistency, quality, and technical excellence in all simulation models and outputs. * Support the Head of Engineering in developing the long-term strategy for the simulation discipline. Simulation Model Development * Lead the development and implementation of advanced simulation models for crowd dynamics, pedestrian behavior, and movement patterns. * Oversee the use of simulation software (e.g. PEDFlow) to ensure realistic, reliable, and validated scenarios. * Review and approve simulation assumptions, inputs, and methodologies used by the simulation team. * Provide hands-on technical support for complex or high-risk simulation tasks.  Data Collection and Analysis * Supervise data collection, preprocessing, and analysis activities related to crowd movement and spatial behavior. * Ensure appropriate validation of simulation models against real-world data. * Interpret simulation results at a strategic level and translate findings into clear, actionable recommendations for projects and clients.  Team Leadership and Development * Lead, mentor, and support Simulation Engineers and Crowd Modelling Experts, fostering technical growth and professional development. * Allocate resources and assign simulation tasks based on project needs, complexity, and team capacity. * Conduct technical reviews and provide structured feedback on simulation work. * Contribute to recruitment, onboarding, and performance development of simulation team members.  Collaboration and Coordination * Act as the main point of contact for simulation-related topics towards project management, planning teams, and other engineering disciplines. * Collaborate closely with architects, engineers, and stakeholders to ensure simulations align with project goals and design specifications. * Participate in internal and external meetings, workshops, and presentations as the simulation subject-matter expert.  Scenario Testing and Optimization * Oversee the simulation of multiple crowd management scenarios, including normal operations, emergency situations, and evacuations. * Review analyses identifying bottlenecks, safety risks, and inefficiencies, and guide the development of optimized solutions. * Ensure sensitivity analyses are conducted where required to assess the impact of design changes or external factors. Software Integration and Innovation * Guide the customization and extension of simulation tools, including scripting and coding where required. * Ensure effective integration of simulation models with BIM, GIS, and other digital platforms. * Monitor advancements in simulation technologies and crowd dynamics research and assess their applicability to ongoing and future projects.  Work Breakdown and Task Coordination * Coordinate with project managers and planning teams to define simulation scopes and work packages. * Break down complex simulation requirements into structured tasks and oversee their execution. * Monitor progress, risks, and dependencies related to simulation activities across projects.  Reporting and Documentation * Review and approve simulation reports, visualizations, and presentations for internal and external use. * Ensure thorough documentation of simulation processes, assumptions, and methodologies. * Guarantee compliance of simulation deliverables with relevant standards, regulations, and project requirements.  Innovation and Continuous Improvement * Drive continuous improvement of simulation workflows, tools, and internal processes. * Contribute to the development of internal guidelines, templates, and standard operating procedures. * Promote a culture of innovation, knowledge sharing, and technical excellence within the simulation team. IHR PROFIL Technical / Professional Requirements * Proven expertise in crowd simulation, pedestrian behavior, and movement modeling. * Experience with simulation software (e.g., PEDFlow) and data analysis/validation. * Ability to simulate complex scenarios (normal operations, emergencies, evacuations) and provide actionable insights. * Knowledge of scripting/coding and integration with BIM, GIS, or other digital platforms. * Experience defining and maintaining simulation standards and quality assurance. Leadership & Team Management * Experience leading and mentoring a team of Simulation Engineers. * Ability to allocate tasks effectively, build a high-performing team, and foster professional development. * Involvement in recruitment, onboarding, and performance management. Project & Collaboration Skills * Strong coordination with project teams, planners, and stakeholders. * Ability to translate complex simulations into strategic insights for projects. * Responsible for reporting, documentation, and adherence to standards. Personal / Soft Skills * Analytical and strategic thinking, problem-solving skills. * Clear communication and ability to present complex results.