Scientific Computing Engineer, Numerical Solvers
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 4, 2026. Invisix scores B on the Alion truth index.
About Invisix
Semiconductor manufacturers can't build what they can't measure. Invisix Measuring Systems is a fast-growing scale-up in the high-tech industry, developing next-generation metrology solutions for the semiconductor sector. We work at the intersection of optics, software, and data.
We're a small team, but the depth of knowledge inside Invisix is anything but small. Our culture is professional and fast-paced, with short communication lines and a strong sense of shared purpose. Everyone here is committed, and everyone knows their work directly contributes to something bigger.
The Role
We're looking for a Scientific Computing Engineer to own and develop significant parts of our in-house numerical solver, from mathematical formulation to tested, production-quality code behind a stable interface: numerical methods, iterative solvers, validation and performance optimization amongst others.
Working closely with our technical lead, you'll shape how the solver is formulated, implemented and run on GPU and CPU hardware. You'll work with the algorithm team, who use the solver, and with the software team, who integrate and deploy it in our product. You own your parts of the solver end to end, and we expect you to challenge existing designs when you see a better approach.
Key Responsibilities
Design and implement the solver's numerical methods, and improve their accuracy and speed
Build and maintain the testing, validation and benchmarking that keep the solver's results accurate and reliable
Optimize performance on GPU and CPU hardware, together with the technical lead
Work with the algorithm team so that the solver meets the needs of our measurement system, and with the software team, who integrate and deploy it in the product
Contribute to technical decisions, code reviews and documentation, and challenge existing designs when you see a better approach
Take on adjacent responsibilities as the team grows, such as contributing to the longer-term solver roadmap
Is this you?
PhD in physics, applied mathematics or computational science, or equivalent industry experience, and 3 to 5 years of experience developing numerical software in research or industry
Strong background in numerical methods and numerical linear algebra, for example integral equations, iterative (Krylov) solvers and preconditioning
Understanding of how code maps to hardware (memory, data layout, performance), typically gained through a lower-level language such as C, C++, Rust or Fortran
Fluent English, and able to explain your technical choices clearly to colleagues with different backgrounds
Active use of AI tooling in your daily work (coding, testing, benchmarking, documentation) to boost efficiency
Nice to have
A background in computational physics with similar mathematics, for example electromagnetism, optics, wave propagation, quantum mechanics, condensed matter, many-body physics or plasma simulation
Experience with Python and/or Julia
Experience with GPU programming or high-performance computing
Software engineering practice in a team: version control, testing, code review, and code that others can maintain
Experience with numerical optimization or adjoint methods
What We Offer
A role at the heart of Invisix's numerical software, with real technical ownership from day one
Competitive salary and benefits, including an Employee Share Ownership Plan
A learning and development budget to support your growth
Flexible working arrangements, and room to grow into adjacent responsibilities as the team scales
Interested?
If this sounds like your kind of challenge, we'd like to hear from you, even if you only recognize yourself in part of this description. Submit your resume, and let's find out together if there's a match.
If this isn't quite the right position for you but you're still interested in Invisix, reach out to us at [email protected].
Diversity & Inclusion
We're committed to a diverse and inclusive workplace, where ideas and individuals flourish. We welcome applicants from all backgrounds and judge candidates on merit and potential contribution, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or other identity characteristics. What we're looking for is talent with integrity, a collaborative mindset, and a drive to make an impact.
Your Data
Your application data is processed by Invisix and kept in our applicant tracking system so we can consider you for this role and future opportunities. See our privacy policy for details: invisix.com/privacybeleid/