We're hiring:


Senior Embedded Systems Engineer

About SOMAREALITY

We're a Vienna-based deep tech startup on a mission to build the world’s first real-time monitoring solution for cognitive processes based on eye tracking. Just like smartwatches make heart rate or sleep insights accessible in daily life, we envision cognitive metrics like load, attention, and fatigue becoming just as intuitive and available.


To achieve this, we develop digital biomarkers—algorithms that translate raw eye movement data into meaningful cognitive metrics. These are delivered to our B2B and research customers via our scientific desktop-based dashboard, a sophisticated web API, direct library integrations or our Unity SDK.

Your Role

Help bring advanced eye-tracking algorithms from research prototypes onto real embedded hardware.

You will translate sophisticated signal-processing pipelines into efficient implementations running on ultra-low-power platforms such as GAP9, ARM Cortex-M, and RISC-V systems. Along the way, you will help shape how our signal-processing stack evolves toward embedded deployment - influencing architectural decisions around performance, memory, and system design.

This role sits at the intersection of signal processing, embedded systems, and product architecture, turning research into reliable real-world technology.

What You’ll Do

You will help define how our current research and desktop-based signal processing pipelines evolve toward embedded deployment. The exact technical path will be shaped together with the research and hardware teams.

This may include:

• Translating signal-processing pipelines developed in Python into efficient C/C++ implementations for embedded targets
• Exploring architectures for running real-time gaze and pupil-signal processing on ultra-low-power SoCs
• Designing modular algorithm libraries that can run both in research environments and on embedded devices
• Evaluating performance, latency, and memory constraints of different hardware platforms
• Building tooling and validation pipelines to ensure embedded implementations remain consistent with research algorithms
• Collaborating closely with the algorithm research team to ensure new methods can be deployed on embedded hardware

What You Bring

Must Haves:

• Acad. degree in Electrical Engineering, Signal Processing, or related technical field (Robotics, Applied Mathematics, Computer Science)
• Experience designing and implementing software for resource-constrained hardware platforms, with an understanding of real-time constraints, memory hierarchies, and system-level performance trade-offs.
• A strong background in signal processing and time-series analysis, particularly in systems operating on continuous sensor streams.
• Experience implementing DSP pipelines in embedded environments, including filters, smoothing, and real-time signal modelling.
• Excellent C/C++ programming skills for embedded systems, with attention to memory management, performance, and portability.
• Experience profiling and debugging algorithms on real hardware targets.
• Comfort working at the boundary between research algorithms and production software, translating experimental code into robust systems.

Nice To Haves:

•  Experience with RISC-V, GAP8/GAP9, ARM Cortex-M, or similar embedded SoCs
• Experience working with real-time operating systems or embedded Linux
• Experience with biomedical signals, wearable sensing, or eye-tracking systems
• Familiarity with C# and Python-based algorithm development pipelines
• Experience building portable algorithm libraries shared across platforms
• Experience with CI/CD pipelines, build automation and deployment
• Open-source contributions demonstrating work with embedded systems

Availability


This is a full-time (38.5h/week) role, ideally based in Vienna. We work together in our coworking space in the 2nd district, with remote flexibility at least two days per week.

Compensation

We're not a 9-to-5 kind of company, and we value flexibility. That said, we expect high output and reward accordingly. The yearly gross salary for this position ranges from €65.000 to €80.000, depending on experience and qualifications.

 What We Offer


• A high-impact role in a pioneering technology space


• Office in a vibrant coworking hub with gym access & community events


• Remote work flexibility & autonomy


• Individual personality analysis & team coaching by an external coach


• A young, agile team (average age: 31) with flat hierarchies and quick decisions

Why SOMAREALITY?

We’re a small, fast-moving team shaping the future of cognitive technology. If you thrive in dynamic, high-risk, high-reward environments, this is your playground. We don’t do endless hierarchy or slow decision-making—we move fast, pivot when needed, and build what’s never been built before.

Ready to join us? Let’s talk.