The Problem Safety analysis. If you’ve done it, you know the drill. Weeks tracing failure paths through complex electronic systems.

Datasheets, spreadsheets, and endless meetings.

A small design change - months of analysis need to be revisited.

The work is critical. The process hasn’t kept up. In a time of self-driving cars, drones, and reusable rockets, engineers are still calculating FIT rates in spreadsheets.

Modelwise asks: Why? One crucial step in hardware development still relies on methods older than the engineers using them.

Modelwise is changing that. We are building AI-powered software that automates functional safety analysis, freeing engineers from manual workflows and enabling innovation with safety by design.

Your Impact: Hiring Objectives We are looking for an engineer skilled in modeling complex electronic systems, particularly digital integrated circuits and their behavior under injected failure conditions. The models you develop will form the foundation of our platform: high-trust representations of hardware behavior that make automated safety analysis possible.

• Build high-trust simulation models of complex electronic components. Using manufacturer data and internal modelling standards, you will develop simulation models of integrated circuits that accurately represent functionality and behaviour under injected failure modes while remaining computationally feasible. This includes translating datasheets into SPICE models across power and logic domains and modelling complex digital ICs, discrete semiconductors, and similar components.

Your work expands and strengthens Paitron’s digital component library — enabling the seamless automation our customers rely on.

• Ensure the technical integrity of automated safety analyses. You will assess systems using your understanding of circuit elements, topologies, and their interactions. A strong understanding of solver engines and practical experience with simulation environments such as Siemens Xpedition, LTspice, Altium Designer, or Cadence ensures that relevant system behaviour and failure effects are correctly captured.

Your work safeguards the trust our customers place in our platform — and the safety of the systems they build.

• Push the technical frontier of automated safety analysis. You will contribute to research and development initiatives exploring new approaches for improving automated safety analysis. This may include prototyping AI-assisted model development, new failure-mode modelling techniques, digitalisation of safety standards, or VHDL-based modelling approaches.

Your work directly expands the capabilities of the platform used by engineers designing the next generation of safety-critical systems.

• Collaborate on difficult engineering problems as a focused team. You will work closely with engineers across the company to tackle complex modelling challenges, participate in model and documentation reviews, and contribute to technical discussions that improve the quality of our product.

Your contributions strengthen the engineering culture that allows a small team to solve unusually difficult problems. Who We're Looking For

• Strong fundamentals in electronics. A Bachelor’s or Master’s degree in electronics, electrical engineering, or a related field - or equivalent practical experience.
• Experience designing and analysing real hardware. 3+ years working with analog and digital circuits, hardware design flows, and simulation tools.
• Deep familiarity with electronic components and how they behave in real systems.

Why Modelwise? Engineers who join Modelwise often say four things stand out about the work.

• Fixing a problem engineers know too well. Safety analysis is slow, manual, and difficult to scale. Our technology turns that process into something automated, rigorous, and far more efficient, removing a genuine bottleneck in modern hardware development.
• Working on the most advanced systems being built today. Our customers are tackling some of the most complex electronics problems across automotive, aerospace, and industrial systems. Instead of working on the same architecture repeatedly, you will encounter new designs and technical challenges across cutting-edge industries.
• Building technology that matters in the real world. The systems analysed with our platform power aircraft, vehicles, industrial machines, and critical infrastructure. Improving how these systems are designed means safer, more reliable hardware reaching the world faster.
• Owning your work and sharing in the outcome. We are a remote-first, outcome-focused engineering team. Engineers are trusted to take responsibility, move quickly, and solve difficult problems without unnecessary hierarchy. Alongside a competitive salary, our stock option plan allows you to participate in the commercial success of a fast-growing AI-powered deep-tech company.

About Us Modern aircraft, industrial systems, and autonomous vehicles depend on complex electronics behaving safely under failure.

Ensuring that happens is one of the hardest problems in engineering.

Yet much of safety analysis is still slow, manual, and difficult to scale- Modelwise is changing that.

We have developed the first mathematically complete platform for automated safety analysis, enabling engineers to analyse complex systems faster, earlier, and with far greater confidence.

Our mission is simple: make safety analysis as advanced as the systems it protects. Modelwise is a spinout of the TUM between Munich and Silicon Valley. We work with some of the most advanced engineering organizations in the world to help build safer hardware faster.

If you want to solve hard engineering problems and help change how safety-critical systems are developed, we should talk.