Pasteur Labs invents, validates, and scales fullstack software technologies for integrating AI, physics, and simulation in new ways. Our AI-native modeling and simulation platform provides in-silico playgrounds for human-machine teams tackling the most pressing challenges spanning industrial R&D, energy, and national security. Consider life- and world-changing technologies like nuclear fission and fusion energy, aerospace and naval propulsion, power distribution and storage, medical instruments or remote sensing arrays—all of which involve expensive, painfully slow experimentation and validation. We’re in the business of solving these pain points to unlock groundbreaking scientific and engineering advances. And we know these pain points intimately, as experienced technologists across the modeling and simulation landscape.

Our team is largely made of industry-hardened software-hardware experts—from Deepmind to Oracle, CERN to Cerebras, NASA to Nvidia, Air Force to Autodesk, and so on. We operate as a distributed team—from San Diego to Stockholm, Toronto to São Paulo—and have international meetups throughout the year.

Below are a handful of open opportunities for joining the early Pasteur team.^✺ While we don't have hard requirements for degrees or years-experience, we're seeking people with intellectual curiosity and high-caliber problem-solving skills across multiple domains. In addition, engineering excellence for technical roles is a baseline requirement; we're dedicated to scientific rigor and robust engineering for complex and dynamic environments—anything less can mean mission failure for our customers. We encourage you to think broadly about your skills and strengths, and how you can contribute to our mission—that matters more to us than checking all the boxes for a specific role, and we understand that many candidates come from non-linear backgrounds. Ultimately we're looking for how you make us better, whether that’s through the requirements spelled out here or by bringing something unique to the table!

Now that you have a sense of who we are and how we build a team that is greater than the sum of its individual parts, check out the roles below. If any speak to you, get in touch! Send your CV/resume and whatever else may help us learn about your work: careers@simulation.science

CAX Simulation Engineering ← New opp!

JAX "Fusioneer" ← New opp!

Applied ML & Simulation Engineering

R&D SW Solutions Engineering

Engineering Ninja

Technical Product Management

Product Dev

Product Leadership

Platforms Engineering

SI Resident / Research Fellow

PhD & SWE Internship

Applied ML & Simulation Engineer (Senior+)

As a Senior (or higher) Applied ML & Simulation Engineer you will be taking significant responsibility at the transition zones from R&D to applications and deployment, coordinating with a variety of internal and external engineers and scientists. You'll be building simulation intelligence applications while also implementing best practices from professional visualization, simulation, ML and data engineering communities.

Responsibilities

• Design, implement, and validate internal technologies and deployable applications at the intersections of simulation, ML, and computational engineering.
• Build highly efficient simulation environments and cyber-physical testbeds for AI & engineering applications, and "digital twins" that work with data across a wide range of systems and scales with ease (from sensors and hardware, to 3D multiagent environments).
• Develop with at least several simulation engines (Unity, Unreal; Altair, Ansys) and ML frameworks (PyTorch, JAX, Julia, etc.).
• Evolve research technologies and proof-of-concepts into products and systems that address industrial and government users in a variety of science and engineering fields; one key challenge is working with both defined and opaque user needs, and another is translating those back to R&D teams.
• 👆 Implement and iterate on efficient, reliable processes to scale this (i.e. MLTRL).
• Data engineering!
• Help build highly efficient data pipelines and hybrid MLOps (on-prem, HPC, and multi-cloud) applications that deliver ML-simulation solutions with zero-friction to customers across the world.

Engineering Ninja

For an early stage deep tech company to hit escape velocity, there are at least a few key people with the skills and ambition to get literally anything and everything done — i.e., a ninja. We're looking for a Software Engineering Ninja that can handle diverse and dynamic projects like,

• standing up a new CI/CD pipeline for an open-source AI testbed;
• red-blue teaming and cybersecurity for hybrid cloud-onprem systems;
• developing research APIs for Unity, Unreal, Omniverse, and other simulation engines;
• setting up infrastructure and interfaces for alpha and beta testing SI products;
• managing jira, counting story points, scrum mastery... JK! None of that stuff around here— we run our own systems engineering, streamlined for use-inspired R&D that evolves and scales.

If this sounds like you, get in touch with some materials that will impress us: careers@simulation.science

Product Dev & Eng

The purview of Product Developers and Engineers at Pasteur Labs spans internal products for AI-Physics R&D, external products for simulation testbeds in industrial R&D settings, dogfooding products for accelerated computing, etc. All our products target technical & domain-expert users, whom rely on Pasteur products to distill the complexities and uncertainties of real-world engineering into reliable, computational workflows with intuitive interfaces and "batteries included" AI/ML catalogues. We are seeking a variety of Product Dev and Engineering roles aligned with the responsibilities below.

Responsibilities

• Develop, test, and maintain a range of simulation intelligence (SI) products: for internal R&D, external commercialization, dogfooding and more.
• Use technical product knowledge to identify customer pain points & untapped opportunities, analyze technical & data needs for customers varying greatly in size and scope, understand customers' use-cases & workflows for computational engineering,
• Grok software stack configurations for various scenarios and customers; there are many domain-specific use-cases in intimidating disciplines, yet sharing computational problem-solving patterns, for which you need to intuit and further help transform via outstanding user experiences.
• Work with users of simulation & ML tools and apps, product managers, fullstack engineers, and technical domain leads to translate high-level requirements and use cases into detailed product designs and UI components.
• Develop and maintain an ever-growing library of modeling and simulation (M&S) components to be used across different applications, interfaces, and industries.
• Develop with expertise in most of the following: Javascript (Svelte, also NodeJS), Python, Go, containers (Docker) & orchestrators (Nomad; on-prem and cloud), cloud services (Azure, AWS), Terraform, Postgres, RabbitMQ or Apache Kafka.
• Execute efficient design journeys for new features and applications, which may include: ideation, user research, creating wireframes, refining visual details, conducting usability testing, communicating draft and prototype UI/UX designs for other teams, and contributing to the UI/UX software spec.
• Assist in the software alpha-beta programs and management of QA testing activities.
• Identify problems in design, user onboarding and experience, error handling, etc., and develop elegant, verifiable solutions.
• Work with execs and other commercialization leads to produce technical content: generate examples of how the products can solve digital engineering & industrial operations problems, elucidate performance benchmarks & customer value-props, and support other teams in using the software.

Product Lead

Select candidates may be considered for a Product Lead opportunity, which assumes demonstrated excellence in some combination of the Product Development + TPM responsibilities listed here, and further involves:

• Distill ambiguous problem spaces into a compelling product vision.
• Drive end-to-end product design, dev, deploy, and iteration lifecycles in support of the company's platform strategy and Nobel-Turing vision — further, the Pasteur way calls for hands-on execution (lead by doing), and data-driven processes to streamline product and tooling development.
• Prioritize the customer experience and represent the voice of the customer. Collect and analyze user feedback to ensure our products solve real customer problems, deliver a compelling user experience, and continuously improve the product.
• Track relevant market trends and competitor analysis to develop product positioning and differentiation.
• Maintain (and often drive) synchronous roadmaps and effective interfaces with the Pasteur R&D and engineering teams.
• Orchestrate near- and long-term product development and go-to-market strategies with cross-functional teams, often trading off product priorities and technical risks.

Technical Product Manager

Over time Pasteur Labs endeavours to drive a simulation intelligence (SI) ecosystem, one characterized by an exponential growth of products built with SI technologies. Today that mission focuses on a core set of internal products for AI-Physics R&D, external products for simulation testbeds in industrial R&D settings, dogfooding products for accelerated computing, open-source products for enabling devs and more. All our products target technical & domain-expert users, whom rely on Pasteur products to distill the complexities and uncertainties of real-world engineering into reliable, computational workflows with intuitive interfaces and "batteries included" AI/ML catalogues. The interplay of these products and users, in the context of the broader mission, implies a set of mission critical responsibilities for the Technical Product Manager (TPM). These are listed below, with the preface that the TPM is one whom embraces knowns and unknowns that evolve as the company itself evolves with scale over time.

Responsibilities

• Discover and understand customer needs and translate them into requirements.
• Communicate product vision, progress, and results to internal and external stakeholders, transparently and effectively.
• Drive alignment among cross-functional teams, including engineering, R&D, design, marketing, and business development. Ensure strategy, decisions, and requirements are well-understood, and that implementation matches expectations.
• Develop comprehensive product strategies that sync with R&D roadmaps (from very near-term to 36+ months out), with an emphasis on go-to-market risks and mitigations, success metrics and expected values, and data-driven insights.
• Assess and address technical risks in collaboration with Product Dev and R&D partners. Define success criteria for testing and product acceptance in terms that account for and converge Product Dev, R&D, and other stakeholders’ priorities.
• Implement dev and launch tactics for new products and technologies as needed. This includes identifying opportunities and critical issues spanning multiple teams, organizations, and use-cases (and playing a key role in defining their technical solutions).
• Engage with key industry players, partners, and clients to gather insights, validate product concepts, and explore potential collaborations. Develop relationships with appropriate early adopter customers/partners based on business alignment
• Monitor and analyze product performance post-launch, gather user feedback, and iterate on the product to drive continuous improvement and optimization.
• Stay at the forefront of industry best-practices and tooling, especially in devtools for modeling and simulation.
• Continuously refine and optimize product management processes and best practices, sharing learnings and insights with the broader organization to drive overall excellence in product development.

R&D Solutions Engineer (Senior+)

Similar to the Applied ML & Simulation Engineer role, you will be taking significant responsibility at the transition zones from research & prototyping to product apps & solutions. A key distinction is the R&D Solutions Engineers serve as our first-line experts on the Pasteur platform: the external-facing technical resource for buyers, users, devs, and domain experts. The job title itself implies responsibility for the execution of our "Pasteur's Quadrant" efforts: use-inspired R&D in Simulation Intelligence (SI) in order to level-up Mech/Chem/Nuclear/Aero Engineers with reliable AI & human-machine teaming capabilities.

Responsibilities

• Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners, and our GTM team to deliver winning solutions that help customers to accelerate critical business outcomes with AI-driven simulation and digital engineering.
• Run projects together with customers' engineering teams, speccing and developing software apps & solutions based on Pasteur's platform; it is critical that your deliveries demonstrate how Pasteur AI-Physics technologies create transformative value for end-users in computational engineering workflows.
• Systematize pre-deployment activities and playbook R&D commercialization strategies, including definitions and examples of demo assets.
• Build highly efficient simulation environments and cyber-physical testbeds for AI & engineering applications, and "digital twins" that work with data across a wide range of systems and scales with ease (from sensors and hardware, to 3D multiagent environments).
• Develop software products, user interfaces, and pipelines that directly run (or interoperate with) computational engineering tools (CAD, CFD, CAM, PLM, etc.), simulation engines (Unity, Unreal), and ML frameworks (PyTorch, JAX, Julia).
• Evolve research technologies and proof-of-concepts into products and systems that address industrial and government users in a variety of science and engineering fields.
• Help map the whitespace between simulation intelligence R&D and the applications our customers need, especially as the workflows transform and industries evolve with our AI-native digital engineering products — you will be key in mapping and owning that territory.
• Collaborate with Pasteur Labs executives to deliver excellence to key customers and stakeholders, and work closely with many Pasteurians across product, engineering, research, and sales.

JAX Fusioneer

In other words, this call is for Simulation Intelligence Engineer - Inertial Fusion candidates with skills developing and validating differentiable physics modeling tools. This role is particularly well suited for computational plasma physicists who are passionate about developing reliable software technologies and performing nuclear fusion research with modeling tools that natively support physics-infused machine learning.

Fusioneers at Pasteur Labs are building the next generation of simulation software for inertial fusion. The software platform is able to synthesize experimental and simulation data in differentiable physics testbeds, enabling gradient-based design of inertial fusion experiments. Our most recent work involves designing bandwidth schema for minimizing laser plasma instabilities, and more in developing + validating autodiff fusion software towards unsupervised discovery of plasma physics and modeling partially observed multiphysics. This work is performed in collaborations with leading researchers from academia and national labs; nuclear fusion R&D at Pasteur Labs will accelerate the efforts at Ergodic LLC, and the U. Rochester Laboratory for Laser Energetics.

Pursuing nuclear fusion R&D at Pasteur means you will be able to make the best of both worlds:

→ We collaborate with leading nuclear fusion / plasma physics researchers from the major laser labs like LLE and LLNL, as well as academic institutions such as Imperial College and UMich. If desired, you will be supported (and expected) to publish and present your work at the major conferences like APS DPP, IFSA, NeurIPS, ICML etc., and top journals like Nature and Science.

→ We are a deep-tech startup. This means you will be immersed in a multi-disciplinary environment of experts in probabilistic programming, machine learning, optimization, and commercially-relevant modeling and simulation (mainly in physical sciences). You will have the resources and will acquire the necessary skills to scale your workloads by using industry-leading software and platforms to manage, run, deploy, and integrate your plasma physics experiments. If desired, you will gain exposure to the broader ML/AI software industry and open different career paths not directly accessible to computational plasma physicists.

Responsibilities

• Develop and own a significant component of the differentiable simulation toolkit for inertial fusion—e.g., a muliphysics environment for thermal transport or laser-plasma instabilities.
• Collaborate with a multidisciplinary team of physicists, ML scientists, and software engineers.
• Analyze simulation data and provide insights to support experimental and theoretical research in inertial fusion energy (and scientific machine learning).
• Publish and present novel research in leading plasma physics and machine learning venues; be an active member of the communities for computational plasma physics research (in inertial fusion energy, laser plasma instabilities, hydrodynamic modeling, and/or alpha/neutron transport modeling).
• Develop quality software in JAX (or Julia) and the associated scientific computing ecosystem (including writing and testing Python code using various scientific computing libraries (NumPy, SciPy); bigger picture, you should bring to the fusion field advanced skills and deep insights wrt automatic differentiation in programmable multiphysics simulations.
• Evolve research technologies and proof-of-concepts into software packages and systems that address experimentalists in industrial energy settings; help map the whitespace between simulation intelligence R&D, existing plasma physics modeling tools, and inertial fusion experiment needs.

Emphasis on each of the above can be tailored to the candidate's interests and professional growth desires.

Simulation Intelligence Resident

The SI Resident (or Fellow) opportunities aim to synergize experts in adjacent fields with our team and technologies. The role can be customizable in terms of subject matter, goals, time and location — for example, a 12-month on-site residency to prototype and scale a method from your PhD work; an "entrepreneur in residence" to flesh out an SI product or startup; a part-time fellowship to bring SI into your existing work or lab. If this strikes a chord with you, send us a proposal that is succinct and sufficiently detailed, along with examples of your work. While these are bespoke appointments with ongoing application cycles, spots are limited and highly competitive. We are excited to get applications from everyone, and will make a special effort to hear from underrepresented groups in technology. Below are some areas of interest, but this list is far from comprehensive — suggest something new!

Areas of interest

• Energy storage materials and mechanisms
• Microgravity design and manufacturing
• Artificial organ design and materials
• Compute substrates, and neuromorphic computing
• Probabilistic numerics
• Open-endedness in AI and data-driven systems

Platforms Engineer

Highly skilled, ambitious, effective engineers join the Platforms Engineering team to build, scale, and maintain the backbone upon which all simulation intelligence models, testbeds, accelerated computing and more are built. The primary responsibilities of these roles will be the design, implementation, verification and validation of secure, efficient, and scalable infrastructures for machine learning (ML) and high-performance computing (HPC) running engineering and scientific datasets.

Multiple positions/levels are available, all with an emphasis on repeatable deployments and robust security controls.

Responsibilities

• Develop highly scalable and reliable infrastructure for ML/AI, simulation, and data engineering.
• Design, implement, test, and iterate on various cloud architectures (including multi-cloud and hybrid-cloud environments).
• Build vital tools and infrastructure to monitor and understand the performance of complex systems — i.e., one or more of MLOps, DataOps, DevSecOps.
• Support the team to deploy technologies in mission critical environments that range from multi-cloud to supercomputing to edge devices.
• Build developer environments (internal & external) that provide seamless, reliable containerization and orchestration (Docker, Kubernetes) for ML and scientific computing workflows.
• Develop system level testing plans and work with product and research team members to characterize the functionality and performance of the systems.
• Establish automated security measures, such as security-as-code and infrastructure-as-code, to ensure the safety and reliability of the platform and applications.
• Create and implement operational processes and security controls for compliance.
• Perform vulnerability assessments and penetration testing, and remediate any security issues identified.
• Lead incident response, including necessary remediation and future prevention measures.
• Help cultivate reliabile, efficient engineering and teamwork by way of regimented processes and domain best-practices — these are continuous, evolving practices you will actively improve over time as the company itself grows and evolves.

CAX Simulation Engineer

"CAX" refers to the tools and domains encompassing computer-aided engineering (CAE) and physics modeling & simulation subsets: namely CFD, CAD, CAM, and FEA. The models and environments you produce as a CAX Simulation Engineer are essential to nearly all teams at Pasteur Labs: from SciML research to industrial software protoyping to deployed digital twins running multiphysics simulations at scale. This role is particularly well suited for CAE experts who like to hack — we need you to be skilled and effective within the legacy CFD and CAD toolsets, as well as comfortable extending and reshaping the software beyond its existing limits.

Responsibilities

• Build highly efficient CAD/CFD/CAM simulations with configurable models, varying mesh requirements, and diverse multiphysics setups. Deliver said simulations to machine learning R&D teams (using MLOps infrastructure) and incorporate their feedback.
• Reliable software dev to adapt state-of-the-art digital engineering tools and their physics solvers: develop scripts and libraries in Python to communicate and automate legacy software, coordinating with Platform Engineers to test and deploy them on the cloud (VM and docker) and on-prem.
• Be the "go-to" CAE simulation expert: master state-of-the-art digital engineering tools and their physics solvers, ensure the fidelity and performance of their implementation, support their usage by multiple teams on demanding classes of problems, and coordinate with ML Researchers and Product Devs to produce high-quality simulation demo materials.
• CAX interoperability and ecosystem expertise — that is, leveling up your teammates with your experience in a variety of software tools across CFD and CAD domains, and hands-on knowledge integrating them in larger, computationally demanding solutions or frameworks.
• Provide analyses that may include, but are not limited to, computation fluid dynamics (CFD), static, modal, and thermal analyses.
• Run projects together with customers' engineering teams, providing specifications and developing software apps & solutions based on Pasteur's platform. Your deliverables must demonstrate how Pasteur Labs Physics-AI technologies create transformative value for end-users, easily integrated within industry standard engineering workflows.
• Cultivate reliabile, efficient engineering and teamwork by way of regimented processes and domain best-practices — these are continuous, evolving practices you will actively improve over time as the company itself grows and evolves.

PhD & SWE Internships

The student intern roles at Pasteur Labs provide PhD researchers and exceptional software engineers with challenging, rewarding opportunities in bridging R&D and industrial applications. Working with experts across AI/ML research, scientific computing, applied physics, industrial engineering & simulation, and of course software engineering and HPC, interns learn and grow in a demanding, fast-moving environment that is different from academia in important ways: Pasteur Labs interns contribute building Simulation Intelligence (simulation.science/research) applications that deploy for real-world challenges at scale. The role can be customizable in terms of subject matter and goals — the list below suggests several of many such specializations. The timing and location of internships are flexible as well — we run ongoing application cycles, although for a limited number of spots. We are excited to get applications from everyone that is eager to build use-inspired Physics-AI, and will make a special effort to hear from underrepresented groups in technology. Below are some areas of interest, but this list is far from comprehensive — suggest something new!

Areas of interest

• Probabilistic computing and uncertainty driven ML
• Physics-AI applied to energy technologies & systems
• AI-driven simulation in advanced / additive manufacturing
• Extreme or new physics modeling & simulation (M&S)
• Inverse problem solving and engineering design
• Open-endedness in AI and data-driven systems
• Nuclear & chemical engineering with SciML
• Accelerated computing, including HW-SW design and computing substrates
• Engineering & optimization in digital-physical systems

Base expectations

Responsibilities will include (1) design, implementation, and validation of internal technologies and deployable applications (such as ML surrogates for physics simulations and engineering optimization); (2) programming within a variety of ML frameworks such as JAX, PyTorch, Julia, etc.; (3) software development with advanced capabilities in Python and/or C++. For SWE focused interns, (3) carries emphasis over (2), plus expectation of (4) scalable software applications that provide multiple means for end-users to interface & build with Pasteur's simulation intelligence platform technologies. For consideration, we must see (1) proven experience (code repos, technical publications & presentations, side projects) involving simulation software, physical sciences & engineering data, and machine learning tools; (2) proven ability to hack, develop, and test/validate methods beyond what's available off-the-shelf (such as custom data loaders for geometric deep learning models and multi-physics engines & solvers); and (3) ongoing graduate degree in areas relevant to the topics above.

^{Pasteur Labs (and ISI) is proud to be an equal opportunity employer. We're committed to fair hiring practices and a welcoming working environment. All candidates are considered for employment without regard to race, religion, ethnicity, age, gender, sexual identity or expression, medical condition, or socioeconomic status. We value our differences and we're excited to learn what you can add to our team.
In addition to a team of exceptional, sharp, and collegial colleagues, we offer tools and support that enable you to do your best work. This includes at-work support, like premium computing equipment, stock options, and referral bonuses. It also includes flexible working arrangements, with periodic team onsites to reinforce our connections. But we think it’s equally important to support your overall well-being, so we offer unlimited time off, a monthly health & wellness stipend, and parental leave. We also offer health insurance and retirement plans (in the US and where appropriate internationally). And as the team evolves, we continue to evolve how we support you.
Pay Transparency (details are for NY individuals): $100,600—$213,800 USD. Your compensation package will include two major components: salary and equity. Guidance on compensation for this role will be determined according to the level at which you enter the organization, with the ability to gain more equity and salary over time as you contribute. Details on compensation will be discussed with transparency in the interview process.
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