***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a hands-on HPC Linux Software Engineer to support mission-critical R&D efforts in a high performance computing environment. This role is ideal for an engineer who can work directly with users, solve complex modeling and simulation challenges, and help strengthen HPC software workflows in a fast-paced on-site lab setting.

Responsibilities:

Support HPC users and technical staff in a research and development environment, helping solve modeling and simulation workflow issues across heterogeneous, multi-platform systems. Develop, maintain, and troubleshoot Linux-based software used in HPC environments, including existing code bases and distributed applications. Partner closely with the Technical User Support team, team lead, Chief Scientist, customers, and site staff to resolve technical problems and improve user effectiveness. Contribute across the software lifecycle including requirements, design, coding, documentation, testing, and maintenance. Provide technical guidance to junior engineers and scientists, lead code reviews, and create training materials, tutorials, and onboarding content for users and internal staff.

Required Qualifications:

• TS/SCI Clearance with CI Polygraph
• Bachelor’s degree in a STEM-related discipline
• 10+ years of professional software engineering experience
• Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments
• Experience supporting HPC user workflows for modeling and simulation problems, including GUI-based workflows
• Knowledge of High Performance Computing environments and related technologies
• Proficiency in Fortran, C, and/or C++
• Proficiency with Bash and Korn shell scripting
• Strong Linux experience, including the ability to troubleshoot end-user system issues independently in a lab environment
• Experience with coding standards, unit testing, and configuration management
• Strong ability to analyze, debug, and maintain existing code bases
• Experience with requirements, use cases, design, coding, documentation, and testing of scalable distributed applications in Linux environments
• Experience mentoring junior engineers or scientists, providing technical guidance, and leading code reviews
• Experience designing and delivering training workshops, tutorials, or onboarding materials for HPC users and internal staff
• Strong communication skills and the ability to work effectively across technical teams and customer stakeholders
• Excellent attention to detail, strong problem-solving ability, and solid organizational skills

Preferred Qualifications:

• Experience working on-site with research and development customers in mission-focused environments
• Experience supporting technical user communities in HPC or scientific computing settings
  Background balancing software engineering, end-user support, and technical training responsibilities in the same role

At scale, quantum computers will be integrated into classical datacenters — combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world’s hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you’ll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

• Lead the design and development of our HPC software stack integrations
• Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
• Lead and participate in code reviews
• Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
• Mentor junior staff members; we’ll ultimately be building a team around you!
• Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You’d be a good fit with:

• Bachelor’s degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
• 13+ years experience in software engineering
• 5+ years experience of open source contributions
• 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
• Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
• Familiarity with MPI or other multiprocessing schemes
• Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
• Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
• Established experience in Linux operating system, environment, and tools

You’d be a great fit with:

• 15+ years experience in software engineering
• 10+ years experience of making open source contributions  
• 5+ years in High Performance Compute cluster management
• 2+ years experience as an open source project maintainer with an active community
• Expert-level knowledge of Fortran and/or C
• Familiarity with quantum software stacks like MQSS or OpenQSE
• Familiarity with distributed computing frameworks like Ray or Dask
• Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
• Expert analysis skills in areas like statistical testing, modeling and general optimization
• Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
• Familiarity with common machine learning frameworks like PyTorch or TensorFlow
• Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

What You’ll Do:

Inversion’s lifting-body reentry platform will create a highly maneuverable, highly accurate, and low-cost vehicle that will be an industry-first. The Staff Aerothermal Engineer will be responsible for characterizing the aerothermodynamic environment on and around the vehicle with an emphasis on the rarefied flow regime. This role will be a key contributor to Inversion's advanced modeling efforts, and responsible for developing, improving, and implementing cutting-edge CFD tools and workflows. 

On a day-to-day basis, the staff aerothermal engineer will lead the creation of high-fidelity simulations, mentor team members, and act as the driving force behind our efforts to build confidence in our vehicle models. This is a unique opportunity to help define the CFD strategy for groundbreaking technology, creatively solve novel high-speed flow challenges, and play a pivotal role in the design of next-generation hypersonic systems.

Successful candidates will have a background in DSMC simulation or familiarity with multi-physics plasma environments, a passion for pushing those tools to their limits and the drive to extend them when the work demands it.

Required Qualifications:

• Bachelor's degree in Aerospace or Mechanical Engineering, or equivalent experience 
• Typically, 9+ years of experience in hypersonic, supersonic, reentry, or rocketry external flow-field aerothermodynamic analysis
• Strong experience with high fidelity simulation of gas dynamics at conditions where inter-molecular forces must be considered (SPARTA, DAC, MAP, plasma simulation tools, etc.)
• Familiarity with Fidelity Pointwise, Link3D or equivalent meshing software for generating high-quality meshes suitable for a variety of simulations
• Strong knowledge of flows in thermal-chemical non-equilibrium
• Experience modeling mixed-regime flows such as plumes exhausting into rarefied flows.
• Experience integrating ground & flight test data into aerothermal vehicle models
• Proficiency in uncertainty quantification & relevant mathematical models
• Proven ability to work effectively in a fast-paced environment, including prototyping and rapid iteration of new products

Desired Qualifications:

• Masters / PhD in Aerospace or Mechanical Engineering, or an equivalent field.
• Experience modifying CFD solvers or coupling them for multi-physics simulations
• Experience with high temperature gas flow solvers (US3D, DPLR and/or LAURA)
• Experience with modeling radiative heating using radiation transport tools
• Experience conducting a comprehensive CFD campaign, from a vehicle’s early stages to the first flight
• Experience using programming languages like Python, Fortran, C++, MATLAB, etc.
• Involvement in planning, leading, and/or post-processing arc-jet tunnel campaigns 

Our office headquarters is located in Playa Vista, CA. This position requires in-office presence. 

_{The California annual base salary for this role is currently $161,000-$221,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

What you’ll do:

• Perform low/mid/high fidelity aerodynamic simulations of Archer eVTOL aircraft
• Develop linear/non-linear aerodynamic models to predict aircraft behavior and performance throughout the flight envelope
• Analyze experimental data (either from flight test or wind tunnel) to identify sources of model errors, validate, and improve aerodynamic models of the vehicle
• Develop efficient methods to feed flight test data back into aerodynamic simulation models of various fidelity and complexity
• Contribute to the development of Archer aerodynamic software stack, improving methods and workflows
• Coordinate with other cross-functional teams and pilots for flight simulator aerodynamic modeling updates and issue resolution

What you need:

• BS / MS / PhD in Aerospace Engineering or a related field

• 2+ years of experience with BS, or 1+ years of experience with MS, or 1+ years of experience with PhD modeling rotorcraft, tiltrotor, eVTOL aerodynamics at full-vehicle level
• Strong understanding of fundamentals of fixed-wing and rotorcraft aerodynamics, performance, stability & control 
• Experience in eVTOL and/or multicopter vehicle aerodynamics design and analysis, including 6 DoF vehicle trimming and trajectory optimization
• Experience with gradient-based and gradient-free optimization techniques
• Experience with surrogate modeling techniques (like Kriging methods) and statistical analysis
• Experience with experimental data processing and reduction techniques
• Proficiency in Python programming
• Experience with software development, object-oriented, version control best practices, as well as Git, CICD, Conda

• Excellent work planning and issue resolution skills
• Strong technical, written, and verbal communication skills
• Ability to work in groups and individually
• Experience in a fast-paced design environment

Bonus Qualifications:

• Experience with developing, training, and optimizing neural networks or other machine learning models in the context of aerodynamic modeling
• Experience with wind tunnel and flight test campaigns planning, execution, and data processing, ideally matured on rotorcraft, tiltrotor, eVTOL program
• Work experience with rotorcraft comprehensive analysis tools, such as RCAS or CAMRAD2
• Work experience with NASA Overflow and Fun3D CFD software, including meshing
• Experience utilizing high-performance computing (HPC) to parallelize workflows

• Familiarity with conventional airplane Part 23/25 or rotorcraft Part 27/29 certification basis and test methods

• Familiarity with ASTM standards for fixed wing and rotorcraft
• Familiarity with Matlab/Simulink, and Fortran/C++ coding

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $140,000 - $190,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Are you an enthusiastic and highly motivated engineer / scientist seeking a change? We are currently expanding our Hydrodynamic and Metocean Team, where support and problem sharing is an important part of our culture.  We will provide you with an opportunity to keep developing your career in a world leading organisation.

About the role

In our Coasts and Oceans Group, within the Hydrodynamic and Metocean Team, we have projects involving modelling of hydrodynamics,. We predict winds, waves, water levels and currents for design of coastal structures and investigate the impact of developments such as offshore wind farms, harbours or coastal developments.

Key responsibilities:

• Analysis and interpretation of measured and hindcast metocean data
• Delivery of metocean analysis and computational wave modelling studies
• Lead and support the preparation of bids for metocean and coastal wave modelling studies
• Project management, including communication with the client
• Contribute to the development of in-house tools and models
• Participate in internal forums, working groups, conferences to stay current with industry best practises and be at the forefront of the research and technology.

About you

For the role you will need to demonstrate:

• BSc/BEng and preferably MSc/MEng or PhD in a relevant field (e.g. oceanography, meteorology, applied mathematics, physics, civil engineering).
• Track record in estimating metocean extreme values for design criteria, including the quantification of uncertainties.
• Experience in the application of numerical wave models (e.g. SWAN, SWASH, FUNWAVE)
• Experience in programming using one or more languages: Python, Matlab, R
• Experience in managing projects
• That you are highly numerate with strong analytical and problem-solving abilities
• Strong, effective communication skills, both verbally and in writing
• Collaborative team work
• Good attention to detail, record keeping, presentation and report writing skills
• Adaptability and self-motivation

Desirable Skills and experience

Further skills, of interest but not essential, include :

• Experience in the application of numerical wind models (e.g. WRF, WASP)
• Code management (GIT, branch management, unit testing)
• Knowledge of machine learning techniques and their limitations
• Knowledge of relevant industry standards
• Fortran programming language
• GIS

Flexible working

Helping our people achieve a healthy work-life balance is important to us, and we would be happy to explore flexible working and job share arrangements. Please talk to us about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.

About us

We deliver smart solutions where water interacts with people, infrastructure and the environment.

It’s our exceptional people that make us who we are. A diverse range of individuals, we work together to push the boundaries of conventional thinking. We are innovators, bridging the gap between academia and industry. As a not-for-profit company, we don’t have shareholders; instead our profits are used to advance our research and to develop our people, our tools and our technology. We value the independence this brings us, our business and our environment in the long term, creating a company that we are all proud to be part of.

We are an equal opportunity employer and value diversity in our workplace. We do not discriminate, and work to create an inclusive culture across our business.

Further information

• Download a full job description and person specification.
• Check out our exceptional benefits at hrwallingford.com/careers.
• Salary range: £42,000 - £55,000 dependant on experience.
• The closing date for applications is 25^th May 2026

What you’ll do:

• Design, implement, and maintain internal software libraries and applications as well as computing infrastructure to enable engineers to solve problems faster and more efficiently. Promote the use of shared computational infrastructure, tools, and practices across engineering teams within the Flight Sciences department.
• Develop processes and software tools to improve the reproducibility and traceability of computations. Drive the implementation of such tools.
• Promote a culture of software excellence across the engineering organization.
• Understand the needs of various engineering teams to efficiently utilize High-Performance Computing (HPC) resources, and make informed decisions on infrastructure solutions to ensure optimal resource utilization and cost savings.
• Maintain and administer on-premises HPC resources. 
• Advocate for engineering and computing needs with the company-wide IT department.

What you need:

• Master's or Ph.D. in Aerospace Engineering, Mechanical Engineering, Computational Engineering, or a related field.
• 5+ years of experience as a user and developer of scientific/engineering software for flight sciences or similar disciplines (such as aerodynamics, acoustics, control, loads, thermal analysis, mass properties, vehicle simulation, etc.) in a fast-moving environment.
• Demonstrated experience in developing computing software and infrastructure, with proficiency in the scientific Python ecosystem (NumPy, SciPy, Pandas, Scikit-learn, TensorFlow/PyTorch, VTK).
• Demonstrated experience in standard best practices in software development, including version control, CI/CD, software testing, environment management.
• Demonstrated experience with the design and administration of HPC systems, either on-premise or cloud (AWS preferred). Knowledge of Linux administration, high speed network interconnects, parallel file systems, and MPI required.
• Experience with HPC management software (Slurm/PBS/Torque, OpenHPC/Bright, Warewulf/XCat, Spack/EasyBuild, Lmod).
• Good understanding of enterprise IT and common network security practices.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.

Bonus qualifications:

• Experience as an engineer in one or more of the following areas of aircraft design - aerodynamics, conceptual design, rotor/propeller design, vehicle simulation, loads and dynamics, structural design, stress analysis, GNC.
• Contributions to open source scientific software projects.
• Experience with MATLAB and Simulink.
• Proficiency in one or more compiled languages (e.g. C/C++, Fortran, Rust).
• Familiarity with databases (SQL, NoSQL, time-series) and database application design (ORM/ODM).
• Experience with software packaging (Pip, Conda, Spack) and containerization technologies (Docker/Singularity/Shifter) for scientific software.
• Familiarity with software configuration management tools (Chef/Puppet/Ansible).
• Familiarity with common CI/CD tools and practices (TeamCity/Jenkins, Artifactory, Docker, etc.).
• Experience with analysis tools and workflows for aircraft/rotorcraft design (aerodynamics, CFD, GNC, loads, structural analysis, CAD, mass properties, etc.).

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $162,800 - $217,600. Actual compensation offered will be determined by job-related knowledge, skills, and experience.        

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Who We’re Looking For

What We Offer

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 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.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position in the USA is from $206,000 to $260,000

Description:

Data Systems Analysts, Inc. (DSA) is seeking a TS/SCI cleared HPC Engineer to assist users executing computational workloads within secure High Performance Computing (HPC) environments. The HPC Engineer will work directly with engineers, analysts, and researchers to support job execution, troubleshoot workload failures, and improve the performance and efficiency of compute workloads running on HPC clusters.

The Engineer will assist users with scheduler job scripts, application execution, and workload performance troubleshooting while promoting HPC best practices for efficient cluster utilization. This role serves as the primary interface between mission users and HPC platform infrastructure teams.

This position requires strong Linux experience, scripting capability, and familiarity with distributed computing environments supporting scientific or engineering workloads.

This position is onsite in Charlottesville, VA.

Responsibilities:

• Provide user support for computational workloads running on HPC clusters in classified and unclassified environments.
• Assist users in developing, submitting, and troubleshooting scheduler job scripts for systems such as Slurm or PBS, including resource allocation for CPU, GPU, and distributed compute workloads.
• Troubleshoot slow, hanging, or failing HPC jobs including MPI based distributed workloads, GPU jobs, and large scale parallel applications.
• Support users compiling and executing scientific, modeling, or data processing applications within Linux based HPC environments.
• Provide guidance on HPC best practices for job scheduling, compute resource allocation, and workload performance.
• Monitor workload execution patterns and provide guidance to improve cluster throughput and resource utilization.
• Develop scripts or tools using Bash or Python to automate common operational tasks.
• Maintain documentation and knowledge base articles describing system capabilities, job execution procedures, and troubleshooting guidance.
• Support performance analysis of compute workloads to identify inefficiencies or configuration issues.
• Coordinate with HPC systems engineers when infrastructure or cluster configuration issues impact workload performance.
• Provide responsive on site support for users executing HPC workloads in mission environments.
• Maintain source controlled scripting and tools using Git or similar version control platforms.
• Assist users with environment modules and runtime environments required for executing HPC applications.

Required Education, Certifications and Security Clearance:

• BS degree in Engineering, Computer Science, or related STEM field
  • Experience may be substituted for degree
• TS/SCI Clearance
• Ability to obtain DoD 8140 (8570) IAT Level II certification

Required Experience/Qualifications:

• Minimum 5 years of Linux experience including command line system usage, scripting, and troubleshooting applications in multi-user server environments.
• Professional experience administering or supporting command line Linux systems (RHEL derivatives preferred).
• Experience developing scripts using Bash, Python, or similar scripting languages.
• Experience troubleshooting software execution issues in distributed computing environments.
• Working knowledge of job scheduling systems such as Slurm, PBS, Torque, or similar platforms.
• Experience supporting users in technical computing or engineering environments.
• Strong troubleshooting and analytical skills.
• Ability to communicate technical concepts clearly to both technical and non technical users.
• Active TS/SCI security clearance.

Preferred Experience/Qualifications:

• Experience as a user or administrator of HPC clusters.
• Experience supporting parallel computing frameworks such as MPI, OpenMP, or CUDA based GPU workloads.
• Experience supporting scientific or engineering applications requiring large scale compute resources.
• Experience using performance monitoring and optimization tools for compute workloads.
• Experience compiling applications using C, C++, Fortran, or Python based environments.
• Experience working in classified computing environments.
• Experience supporting GPU enabled workloads.

#DSA209

#LI-KE1

About the role

Muon seeks an experienced and passionate spacecraft structural analyst to join our team. The ideal candidate has unwavering attention to detail and a total ownership mindset to help the team develop robust hardware which meets requirements on time. Being an early-stage startup with a small team, breadth is extremely important and we expect this person go far beyond running finite elements analyses. Ability to dive into structural test data, dynamics, inform risk vs. cost decisions, supplier interaction and everything else associated with the full lifecycle of a spacecraft and optical payload development is critical. 

Leadership is also a key attribute we seek for this role.  Muon’s team will be growing rapidly over time and there will be opportunities for both direct-management and indirect (tutoring, mentoring). 

This role is located at our headquarters in San Jose, California.

Responsibilities 

• Full lifecycle ownership of structures from quick-and-dirty early analysis for conceptual design to detailed finite element modeling to test support
• Find solutions in line with the risk posture of the company and programs, suggesting alternatives to traditional approaches and specifying the risks associated with those options 
• Make economically sound choices for the company while understanding the path to constellations. Find solutions balancing the need to quickly demonstrate capability with the need to deploy systems at scale (make vs buy trades, etc)
• Create quick concepts and models that can be used to discuss and spur inspiration on the team in early phases of programs.
• Establish engineering standards and tools for others on the team to help instill a culture of rigor and analysis in all aspects of mechanical design
• Define and drive mechanical/structural validation and test approach (establish factors of safety, identify no-test margins, design dynamics and static load tests, pre-test response predictions, coordinate with test venues and direct tests on-site, etc)

Qualifications 

• B.S. or higher degree in an engineering field, preferably Mechanical or Aerospace Engineering
• Exceptional attention to detail and critical thinking
• Extensive experience running detailed finite element analyses for aerospace systems (FEMAP, ANSYS)
• Experience designing and executing structural tests for spacecraft 
• Extensive experience as an individual contributor structural analyst
• Software skills in one or more of Python, Matlab, Julia, C, C++, Fortran or similar
• Excellent communication, presentation, coordination skills & curiosity
• Dedication to drawing conclusions on the most important factors and data
• Excited to work in a fast-paced environment with new opportunities each week
• A desire to change the way the world understands and reacts to climate and environmental data
• Travel occasionally required to execute tests on-site with environmental test vendors

Nice-to-have Skills

• Familiarity with force limiting principles
• Mechanical design
• Spacecraft design
• Instrument design
• Electronic Instrumentation experience (DAQ, signal processing, etc)

Salary

The salary range for this role is $150,000 - $175,000 and will depend on a candidate's skills, geographic location, qualifications, and experience as defined during the interview process.

****Must reside in or be willing to relocate to the U.K.******

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

Want to be at the forefront of using theoretical and computational chemistry, physics, and materials science to maximize the impact of quantum algorithms and fault tolerant quantum computing (FTQC) in generating exact and useful quantum data for a wide range of industrial applications? As a Computational Quantum Chemist, you will develop and apply advanced electronic-structure and quantum-chemistry methods at the interface of quantum computing and molecular and materials modeling. You will work within an interdisciplinary research team to advance methodologies for correlated electronic systems and embedding, with an emphasis on enabling and evaluating quantum-computing-based workflows.

Within PsiQuantum’s Application Development team, you will integrate and develop computational chemistry approaches alongside emerging quantum algorithms and high-performance computing (HPC), collaborating closely with quantum algorithm researchers and domain experts. Your work will connect quantum-computed atomic and molecular properties with higher-level materials and chemical behavior through rigorous computational modeling. These efforts will support innovations in applied fields such as energy materials, superconductors, batteries, drug design, and catalysis, among others.

This role offers the opportunity to conduct publishable research, build robust computational workflows, and contribute to interdisciplinary efforts across computational chemistry, materials science, and quantum computing.

Responsibilities:

• Conduct theoretical and computational research in electronic-structure theory and quantum chemistry, including literature analysis, method development, and problem solving.
• Design, develop, and evaluate computational workflows that integrate established electronic-structure methods with emerging quantum-computing-based approaches.
• Collaborate with quantum algorithm researchers to identify and assess areas where quantum computing can provide value for electronic-structure and materials-chemistry problems.
• Apply expertise in conventional (non-quantum-computing) algorithms to support the development, benchmarking, and validation of quantum algorithms.
• Develop computational workflows that combine best-in-class classical approaches (e.g., HPC and GPU acceleration) with FTQC for quantum chemistry and materials modeling.
• Serve as a subject matter expert in computational quantum chemistry and electronic-structure methods, staying current with relevant literature, tools, and methodologies.
• Participate in scientific collaboration and technical discussions across teams to support shared research objectives.
• Document research progress and contribute to internal reports, technical documentation, and publications.

Experience/Qualifications:

• Ph.D. in computational or theoretical chemistry, physics, or a closely related field with a strong emphasis on electronic-structure and computational chemistry methodology development.
• Strong foundational knowledge in electronic-structure theory, including density functional theory (DFT) and/or wave function-based quantum chemistry methods, with experience applying these approaches to molecular or materials systems.
• Experience working in high-performance computing (HPC) environments for electronic-structure or atomistic simulations.
• Ability to work effectively in a collaborative, interdisciplinary research environment spanning physics, chemistry, materials science, machine learning, and quantum computing.
• Proficiency in scientific programming and algorithm development, with experience in either Python, Fortran, or C++.
• Strong track record of peer-reviewed publications. 

Preferred:

• Experience with advanced electronic-structure or quantum-chemistry method development, including extensions or improvements to existing theoretical frameworks (e.g., DFT functional development).
• Deep understanding of or hands-on experience with machine learning and data-driven techniques applied to electronic structure, quantum chemistry, or materials modeling problems.
• Experience with quantum embedding or multiscale electronic-structure approaches for treating strongly correlated or localized electronic effects.
• Experience constructing or working with localized orbital representations, effective subspaces, or reduced electronic models derived from first-principles calculations.
• Advanced knowledge and hands-on experience with multireference or strongly correlated electronic-structure methods, such as coupled-cluster, configuration interaction, tensor-network, or related approaches.
• Experience applying or evaluating quantum-computing algorithms for electronic-structure, chemistry, or materials-science applications.
• Experience with GPU-accelerated method development or performance optimization for scientific computing applications.
• Experience developing, extending, or contributing to large-scale scientific software for electronic-structure, quantum chemistry, or materials modeling.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

Mission Brief

As Flight Safety Engineer you will work within the Flight Safety team and you will perform risk assessments and contribute to the development of the flight safety toolset, in the frame of the licensing process and launch operations.

Your Role in Our Space Mission 

• Conduct simulation and analysis campaigns for upcoming Spectrum missions and future developments
• Perform sensitivity analysis on flight safety topics to optimize the mission analysis process
• Integrate and manage Flight Safety Tools into the mission analysis pipeline
• Prepare and update documentation related to flight safety assessments
• Update, optimize, and maintain the Flight Safety Tools used for analysis and operations
• Manage documentation and V&V for Flight Safety Tools
• Perform sensitivity analyses on flight safety topics to optimize the mission analysis process
• Perform risk assessments on Flight operations
• Coordinate with the other teams for the mission analysis

Qualification Checklist 

• Master’s degree in Aerospace Engineering, Applied Mathematics, Mechanical engineering, Computational Engineering / Computational Science or similar.
• At least 2 years of experience in mission analysis and/or 3/6 DoF launch trajectories optimization/simulations
• Solid understanding of linear algebra, numerical methods, numerical integration, probabilities distribution (PDF, KDE)
• Proven experience in MATLAB/Simulink environment
• Familiarity with version control systems (e.g., Git)
• Capability of presenting complex issues in a clear and insightful manner
• Highly organized with high attention to detail
• Effective team player adjusting self-sufficiently and quickly to a changing work environment
• Fluent English

Bonus Skills

• Experience with DRAMA, ASTOS, STK, etc.
• Experience with toxic release or explosive risk assessments
• Familiarity with regulations and standards such as CFR part 450 and/or RCC 321/FSOA(LOS)
• Experience with Parallel Computing/OpenMP
• Familiarity with Python, Fortran or C++
• Experience with other flight safety relevant topics like Space Debris, Re-entry risk assessments or Collision Avoidance

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection

We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer

Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised.  We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint.

By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more.

PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier-1 semiconductor fabs such as GlobalFoundries where we leverage high-volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don’t feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity.

In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing’s potential impact and the need to scale this technology to unlock that potential. And we won’t just be building the hardware, but also the fault tolerant quantum applications that will provide industry-transforming results.

Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us.

There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

Are you eager to revolutionize life sciences using the transformative power of quantum computing? As a Quantum Life Sciences Chemist, you will lead efforts at the intersection of quantum computing, computational chemistry, and biology, solving critical challenges in drug design, biomolecular modeling, and biological systems simulation. By integrating quantum algorithms with established life sciences methodologies, you will pioneer new approaches to address complex problems in pharmaceuticals, biomaterials, and bioinformatics. Join our interdisciplinary team to advance quantum-enabled innovations and shape the future of life sciences.

At PsiQuantum’s Quantum Solutions team, your role will focus on bridging the gap between fault-tolerant quantum computing (FTQC) and established computational chemistry and life sciences tools. You will integrate these approaches with machine learning to explore novel workflows for quantum-informed drug discovery and biomolecular modeling. Your expertise in theoretical and computational chemistry will enable you to connect quantum-computed molecular insights with complex biological systems, driving advancements in drug design, biomaterials, and other critical areas within the life sciences.

This position requires a PhD in computational chemistry, biophysics, or a closely related field, preferably with postdoctoral research experience (although postdoc experience is not mandatory). We are looking for a curious, creative, and interdisciplinary thinker with a strong foundation in computational methodologies applicable to life sciences. The ideal candidate should be an avid reader of scientific literature, possess expert-level hands-on coding experience (e.g., Python, Fortran, C++), and have demonstrated skills in developing and applying computational techniques. Experience contributing to scientific software or modeling workflows is a plus. While prior knowledge of quantum information and fault-tolerant quantum computing is highly preferred, it is not required.

Responsibilities:

• Conduct innovative research, literature analysis, problem solving, and quantum workflow design in the areas of quantum-informed biomolecular modeling, drug discovery, and computational chemistry.
• Collaborate with quantum algorithm experts to identify areas where quantum computing can have the greatest impact in computational chemistry, biology, and life sciences.
• Contribute expertise in conventional (non-quantum-computing) algorithms to the development of in-house quantum algorithms. Serve as a technical lead in customer projects by collaborating with customers’ teams to integrate quantum computing-produced computational outputs into conventional life sciences workflows.
• Serve as a liaison between partner teams and PsiQuantum’s quantum information experts for innovative algorithm selection, development, and prioritization relevant to life sciences.
• Develop computational workflows that combine best-in-class conventional approaches (e.g., through high-performance computing (HPC)) with the breakthrough computational abilities of FTQC to reshape how quantum workflows are designed for life sciences applications.
• Serve as a subject matter expert in computational quantum chemistry and biomolecular modeling for PsiQuantum’s Quantum Solutions team, staying updated on recent academic literature, trends, and tools in life sciences.
• Foster collaboration across teams to maximize the impact of quantum algorithms and quantum computing-generated data in life sciences applications.
• Help shape external-facing materials that champion the applications of FTQC in the pharmaceutical, biotechnology, and life sciences industries (for key opinion leaders, media, and partners).
• Build and maintain external partnerships and collaborations on the topic, which can include meetings, group problem-solving sessions, or drafting research proposals, among others.
• Create organized internal reports and thoroughly document progress on assigned tasks.

Experience/Qualifications:

Required:

• Ph.D. in computational chemistry, biophysics, bioinformatics, or a closely related field, with a strong focus on computational methodology development, and 0 to 6 years of post-PhD (postdoctoral or industrial) experience.
• Hands-on experience with modeling and simulation of biological systems, such as protein-ligand interactions, enzymatic reactions, or biomolecular dynamics.
• Enthusiasm for working in a collaborative, interdisciplinary, and dynamic team environment.
• Expert-level Python coding skills with experience in scientific libraries relevant to life sciences.
• Proven ability to stay updated on recent academic literature and trends in computational chemistry and biomolecular modeling.

Preferred:

• Strong foundational knowledge of quantum chemistry methods (e.g., DFT, coupled cluster theory, or wavefunction-based approaches) and molecular simulation techniques as applied to biomolecular systems.
• Experience with free energy perturbation (FEP), molecular docking, or similar computational techniques for drug discovery.
• Experience with machine learning (ML) techniques in computational drug discovery, biomolecular modeling, or structural biology.
• Experience with coding GPU-accelerated molecular simulations.
• Familiarity with hybrid quantum-classical methodologies, such as QM/MM, applied to biomolecular systems.
• Knowledge of quantum embedding theories (e.g., DMET, embedded correlated wavefunctions) and their application to large, complex biomolecular systems.
• Hands-on experience with quantum computing or quantum algorithms, especially as applied to biological or chemical systems.
• General understanding of light-matter interactions or electronic excitations relevant to biological or chemical systems, such as energy transfer or photochemical processes.
• Familiarity with advanced quantum mechanical methods (e.g., CASCI, CASSCF) and their relevance to modeling enzymatic reactions or metal-containing biomolecules.
• Demonstrated scientific communication skills through peer-reviewed publications, conference presentations, or collaboration with industry partners.
• Expert-level C++ or Fortran coding skills.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

Are you passionate about advancing quantum materials theory and computational modeling? As a Quantum Materials Theorist, you will join an interdisciplinary team at the forefront of computational physics, materials science, machine learning, and quantum technologies. This role offers the opportunity to develop and refine theoretical and computational approaches for understanding and predicting material properties, contributing to next-generation technologies.

You will bring expertise in electronic structure theory, many-body physics, and computational methods to explore complex quantum materials and emergent phenomena. Your work will involve integrating conventional and emerging computational approaches, incorporating insights from machine learning, high-performance computing (HPC), and quantum computing to drive innovation in materials discovery and design.

This position provides the opportunity to engage in high-impact, collaborative research, working alongside specialists in quantum algorithms, materials informatics, computational physics, chemistry, and condensed matter modeling. If you thrive in an intellectually stimulating environment and enjoy tackling fundamental and computational challenges in quantum materials science, we encourage you to apply.

This position requires a PhD in computational physics (or a closely related field), preferably with postdoctoral research experience (although postdoc experience is not mandatory). We are looking for a curious, creative, and interdisciplinary thinker with a comprehensive understanding of various computational physics, chemistry, and machine learning methodologies. The ideal candidate should be an avid reader of scientific literature, have expert-level hands-on coding experience (e.g., Python, Fortran, or C++), and possess deep expertise and skills in methodology development, which may include contributions to open-source atomistic simulation software packages. While prior knowledge of quantum information and fault-tolerant quantum computing is highly preferred, it is not required.

Responsibilities:

• Conduct theoretical and computational research in materials theory and simulations, advancing methodologies for modeling electronic structure, strongly correlated systems, and emergent quantum phenomena.
• Develop computational workflows that integrate established and emerging techniques, leveraging advances in high-performance computing (HPC), machine learning, and quantum computing.
• Collaborate with quantum algorithm developers, computational physicists, and materials scientists to explore new frontiers in quantum materials modeling.
• Contribute expertise in electronic structure theory and many-body physics to research efforts focused on understanding and predicting material properties.
• Stay at the forefront of developments in computational materials science, incorporating state-of-the-art approaches into research projects.
• Serve as a technical leader in interdisciplinary collaborations, working with internal and external teams on innovative solutions in quantum materials research.
• Engage in external partnerships, scientific discussions, and technical communication to support the broader research and application of advanced computational materials methodologies.
• Document research progress effectively and contribute to publications and external-facing materials that highlight advances in the field.

Experience/Qualifications:

Required:

• Ph.D. in theoretical or computational physics or chemistry or a closely related field, with a focus on electronic structure and many-body physics.
• Strong foundation in electronic structure theory, band structure calculations, and computational modeling.
• Expertise in methodology development within density functional theory (DFT).
• Proficiency in scientific programming and algorithm development, with experience in Python, Fortran, or C++.
• Familiarity with high-performance computing (HPC) environments and large-scale simulations.
• Enthusiasm for interdisciplinary collaboration, working across physics, chemistry, materials science, machine learning, and computational research teams.
• Strong peer-reviewed publication record.

Preferred:

• Experience with machine learning and data-driven approaches in computational modeling.
• Experience with quantum algorithms, particularly their application to materials modeling and electronic structure problems.
• Familiarity with wave function based computational chemistry methodologies, including coupled-cluster, configuration interaction (CI), and multi reference methods.
• Expertise in many-body and strongly correlated systems, including Fermi-Hubbard models, tensor networks, and embedding theories.
• Hands-on coding experience with Wannier function calculations.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.