Embedded Platform Engineer

Would you like to operate at the frontier of AI evaluation, post-training, and model improvements? We are now expanding our core Hashlist AI research team to support the creation of domain-specific RL environments for constraint-based embedded programming & complex enterprise engineering workflows. What you will do: Author tasks and environments that frontier models can’t reliably solve: You will both build and oversee the building of environments within low-level embedded coding problems across complex enterprise toolchain workflows. The bar is an environment, task, and harness where a model passes your tests part of the time and breaks often, which allows us to create valuable post-training data. Own the quality of RL environments to make sure the records & data we produce are of very high quality Run, grade, and set standards for our expert author network for tasks Communication with our clients (OEMs & AI Labs) on specific research or fine-tuning questions they have Skills needed: Production embedded depth. C and C++ under MISRA, ARM Cortex or RISC-V, an RTOS such as Zephyr, FreeRTOS or QNX, and fluency with memory, timing, power, thermal and functional safety budgets. 10+ years of experience in domains & tooling where embedded engineering overlaps: Automotive, aerospace, medical devices, robotics or silicon bring-up, with credible depth in at least two. E.g AUTOSAR, ISO 26262, Simulink, Vector etc. High level of personal drive, motivation, and good communication skills Bonus: You have previously built RL environments and/or built AI-model training tasks You enjoy interacting with customers Company benefits Competitive compensation + meaningful equity Central office in Helsinki Lunch benefit Be a part of a quickly scaling tech company working directly with model providers