FPGA junior/senior inžinjer (m/ž)

- What You’ll Be Doing?
1. Architecting and implementing a custom FPGA-based pipeline capable of ingesting time-sensitive, asynchronous data streams (from cameras, audio sensors, or other fast event-generating interfaces)

2. Designing and optimizing dataflow architectures for high-speed, real-time processing under tight power and latency constraints

3. Collaborating with a small team of hardware, firmware, and AI engineers to bridge raw signal processing with algorithmic inference modules

4. Interfacing the FPGA platform with external processors (e.g. ARM or x86-based SoCs), via PCIe, MIPI CSI/DSI, or custom parallel protocols

5. Running experiments with different memory hierarchies (BRAM, external DRAM, FIFO buffers, etc.) to optimize for bandwidth, latency, and determinism

6. Supporting high-speed signal acquisition and processing of spatio-temporal data from vision and/or audio sensors

7. Iterating on your design based on real-world constraints—latency, jitter, throughput, thermals, and board-level integration

- Who You Are?

1. A hands-on problem-solver with a deep interest in building efficient, real-time hardware systems

2. Curious and inventive, but rigorous about testing and validating your designs in a real-world context

3. Required Skills & Experience
Proven experience designing and implementing FPGA logic using VHDL or Verilog/SystemVerilog

4. Experience with Xilinx (preferred) or Intel/Altera toolchains (Vivado, Quartus, etc.)

5. Strong grasp of digital signal processing (DSP) concepts and experience with real-time data pipelines

6. Familiarity with hardware-software co-design principles (e.g. tightly coupling logic blocks to firmware or host software)

7. Experience working with asynchronous or time-coded data inputs

8. Deep understanding of pipelined and parallelized architectures

10. Proficiency in simulation, debugging, and optimization using tools like ModelSim, Logic Analyzers, and oscilloscopes

- Bonus Points For:
1. Prior work with event-driven sensor data or unconventional sensor modalities

2. Understanding of time-domain processing or biologically-inspired signal processing architectures

3. Experience with AXI, DMA, high-speed serial interfaces, or camera input protocols

4. Background in embedded AI or edge computing platforms

5. Experience integrating with microcontrollers (STM32, i.MX RT, etc.) or AI accelerators