Safety Bolt

We're Safety Bolt and given our recent €2.6M fundraise and €13M LOI, we're seeking highly driven, top 1% talent to join our team and scale our monitoring solution to a multi billion euro infrastructure market.

If you're simply looking for a job, this is not for you. We seek highly motivated people who proactively and obsessively strive to solve novel problems all the way to product launch and beyond, fundamentally changing the way we build, maintain and monitor physical structures.

What we do

We build retrofittable sensors that measure the clamping force inside a bolted joint. Using magnetostrictive sensing, each sensor reads the stress in a standard steel bolt without touching it and without modifying the joint, then reports over LoRaWAN to a cloud platform where trend analysis reveals developing risk long before an inspection would. It clips on in under a minute and delivers structural integrity data for up to twenty years.

Bolted joints hold up critical infrastructure everywhere: wind energy, bridges and civil infrastructure, rail, tunnels and mining, and heavy process industry. A single wind turbine alone holds over a thousand bolts whose tension is checked by hand, if at all, and loss of preload is one of the main drivers of structural failure. The same sensor addresses all of them.

Why now

With ex-McKinsey leadership, we have developed and patented industry-leading technology over the last 7 years and recently reached a technical breakthrough, enabling an oversubscribed seed round with top-tier investors (to be announced), selection as one of Sweden's top 33 startups, a place in NATO's DIANA program chosen out of 3400 startups, and a Letter of Intent to purchase 47 000 sensors.

Vision: Become the leading structural integrity data provider globally

Target: Volume production and distribution of retrofitted sensors, providing 20 years of structural integrity data

Culture: Truth seeking, high agency, pragmatic, entrepreneurial and hypothesis driven

Seeking: Exceptional drive, intelligence and integrity. Lead rather than follow.

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The Role

You will build the Safety Bolt firmware stack from the ground up: architecting, implementing, and owning the embedded software for our wireless sensor node. You will work on a modern low-power embedded platform with wireless connectivity, including LoRaWAN and BLE. You will implement signal processing algorithms developed in collaboration with our data science team, and progressively take ownership of algorithm development as the product matures. This is a senior, architecture-level role: you set the direction, not just write the code.

What you will do

• Design and implement the embedded firmware architecture for the Safety Bolt sensor node, from prototype to production-ready

• Implement on-device DFT-based signal processing and take increasing ownership of algorithm tuning and development

• Work at the hardware/software boundary: bring up new hardware revisions, debug analog signals, collaborate closely with the EE on measurement quality

• Build firmware with a product mindset from day one: structured, testable, and on a path to wireless certification (CE/FCC)

• Contribute to system-level decisions across the full sensor stack

Must have

• Strong embedded C/C++ development for microcontrollers, bare-metal and/or RTOS

• Experience architecting embedded systems from the ground up; you have owned a firmware stack end-to-end

• Hands-on with wireless protocols: BLE and/or LoRa/LoRaWAN

• Comfortable at the hardware boundary: oscilloscopes, logic analyzers, analog signal debugging

• Experience developing firmware intended for commercial products and certifications, not only prototypes

• Ability to work independently with high ownership and low need for hand-holding

Nice to have

• Experience with Zephyr RTOS or similar embedded operating systems

• Background in DSP or signal processing implementation on embedded targets

• Experience with low-power embedded design for battery-operated IoT devices

• Exposure to wireless certification processes (CE, RED, FCC)

• Experience implementing ML inference or statistical models on embedded hardware

• Background from industrial sensors, measurement equipment, or precision IoT

Education

MSc in Embedded Systems, Electrical Engineering, Computer Engineering, or equivalent. A BSc will be considered given strong, documented experience.

Experience level

5+ years of embedded systems development, with a clear track record of owning and delivering complete firmware stacks. We are looking for someone who has already made the architecture decisions, not someone learning to.