Junior​/Mid-Level Embedded Software Engineer

Ever imagined saying, “I helped launch the future of transportation”?

We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives – with no one inside – powered by our world‑first Remote Driving technology on real public streets.

We’re live in Las Vegas and scaling fast, powered by a strategic investment up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door‑to‑door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.

• First to roll out vehicles in both Europe and the USA on public roads without a human being inside & currently the 2nd largest commercial, driverless car fleet in the Western World.
• We’ve partnered with Kodiak to bring remote‑driving technology to autonomous trucks in the US, showcasing our ability to integrate our system into heavy‑duty commercial vehicles and expand the applications of our tech across the US.
• We’ve completed tens of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
• And soon we’ll be expanding across the US & Europe.

At Vay, cars are remotely operated in real time from our Driving Centers in Berlin and Las Vegas, something few companies worldwide have done on public roads.

As a Embedded Software Engineer
, you’ll work on the safety‑critical software that directly controls vehicle functions: how a car accelerates, steers, brakes, monitors itself for faults, and reacts in emergencies in real time. Your code moves real physical systems on real roads.

• Design, implement, and verify embedded software for safe remote driving.
• Analyse and validate system behaviour across software and hardware, and design robust solutions.
• Work hands‑on with the hardware: schematics, lab equipment, and the vehicle.
• Improve our tooling, automation, and tests, together with the hardware, control, systems, and testing teams.

• Solid C for embedded or low‑level systems.
• Hands‑on with hardware: reading schematics and using an oscilloscope and lab equipment, from your studies, an internship, or personal projects.
• Keen to learn fast and grow into broader system ownership.

We welcome candidates with 0‑5 years of experience, including those coming from adjacent industries such as robotics, IoT, industrial automation, aerospace, or other safety‑critical systems, who are excited to apply their skills to driverless mobility.

• Experience with real‑time or RTOS‑based systems.
• Exposure to testing/validation environments: simulation, HIL, or in‑vehicle.
• Familiarity with automotive interfaces and standards: CAN / CAN FD, AUTOSAR, ISO 26262, MISRA‑C.
• Experience with automotive tooling such as Vector (CANoe/CANalyzer) and Lauterbach (TRACE
  32).
• Custom digital logic / FPGA / VHDL, or other low‑level hardware interaction.

None of these are entry requirements. If you have the fundamentals and the mindset, you’ll learn the automotive specifics on the job.

We move fast and use AI as a genuine part of how we build day to day, not as a novelty, but as a way to raise the quality of our thinking, close gaps faster, and spend more time on the problems that actually matter. We value engineers who can direct these tools well and put the time they save into systems thinking, collaboration, and getting things right.

This role will be based in our Berlin HQ. We welcome applications from candidates already in Berlin or looking to relocate here. Please also submit your CV in English.

• A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.
• Huge scope for impact in a fast paced environment.
• ESOP virtual stock options: a stake in Vay’s future – not just a salary.
• All Vay team members receive 30% off their Vay rides.
• Relocation financial assistance when relocating to Berlin.
• Fully funded German lessons.
• Regular team events throughout the year.

For more information on Vay’s physical demands, working environments…