Snaga Solutions

❗️This is not a classic PM role❗️ We are looking for an embedded or robotics engineer who grew into delivery leadership. You read firmware and C++ fluently, draft baseline architecture yourself, and talk to CV and hardware engineers as a peer. Your focus is technical delivery of systems where software meets hardware.
 

Requirements

• 4+ years of hands-on engineering with a strong embedded component (firmware, MCU/SoC platforms, drivers, real-time systems, robotics) before or alongside a lead/PM role.
• Solid understanding of embedded constraints: real-time behavior, memory and compute limits, power, communication interfaces (UART, SPI, I2C, CAN), hardware bring-up and debugging.
• Can independently turn high-level requirements into a solution architecture and technical decomposition across hardware, firmware and software layers, and defend it.
• Reads and reviews C/C++ confidently; Python for tooling, testing and integration.
• Understands ML/CV trade-offs on edge devices (accuracy / latency / compute / power). Deep CV expertise is not required.
• Has driven projects where software and hardware teams had to integrate and ship together.
• Uses AI tools daily (Claude / Cursor / Copilot).

Nice to have: NVIDIA Jetson, ONNX/TensorRT deployment, ROS/ROS 2, ArduPilot/PX4/Betaflight, flight controllers, FPV/drones, sensor fusion (IMU, GNSS, cameras), RTOS, CV pipelines.
 

What You'll Do

• Turn the Lead Architect's direction into system architectures, hardware/software decompositions and implementable tasks.
• Own delivery across workstreams (autonomous drone, turret control): planning, risks, reporting.
• Bridge embedded/hardware teams with CV/ML and ROS teams; own module integration and interface contracts between them.
• Attend field tests, analyze failures at the hardware–software boundary and translate results into engineering tasks.
   

We Offer

• Work on autonomous systems for national defense alongside a strong CV, embedded and robotics team.
• Real influence on technical direction.
• Competitive compensation and military service exemption.

We are building defense-critical systems for Ukraine and are looking for an experienced FPGA engineer to own the video aggregation firmware on Lattice CrossLink-NX – from architecture and RTL to board bring-up and hand-off.

Engagement: project-based contract, with potential for long-term cooperation.
 

What you'll do

• Design and implement FPGA firmware in Verilog for multi-camera video processing on Lattice CrossLink-NX.
• Receive video streams from multiple sources (MIPI CSI-2, LVDS, parallel), implement stream switching and aggregate them into MIPI CSI-2 virtual channels across 2 CSI-2 outputs.
• Integrate and configure Lattice IP cores (CSI-2/D-PHY Rx/Tx, Byte-to-Pixel, Pixel-to-Byte) in Lattice Radiant.
• Implement an I2C slave interface with a documented register map for configuration and status.
• Handle clock domain crossing, timing constraints and timing closure.
• Build testbenches, run simulation and validate the design on the evaluation board.
• Deliver complete, documented Verilog source code.
   

What we're looking for

• 5+ years of FPGA development experience in Verilog/SystemVerilog.
• Hands-on experience with MIPI CSI-2 and D-PHY, including virtual channels.
• Experience with Lattice FPGAs (CrossLink-NX, CertusPro-NX or ECP5) and the Radiant or Diamond toolchain.
• Solid understanding of video interfaces: LVDS, parallel video, sync signals, pixel formats.
• Strong skills in CDC, timing constraints (SDC/PDC) and timing closure.
• Experience with simulation tools (ModelSim/Questa, Verilator, cocotb or similar).
• Comfortable debugging on real hardware: oscilloscope, logic analyzer, Reveal or similar on-chip debug.
   

Will be a plus

• Multi-camera systems, image sensor bring-up (Sony, OmniVision, onsemi).
• Experience with drones, robotics, UAV payloads or other unmanned systems.
• Xilinx/AMD or Intel FPGA experience in video applications.
• Basic Python or C for test scripts and host-side I2C tooling.
   

What we offer

• Direct contribution to the defense of Ukraine – short path from firmware to field deployment.
• Ownership of FPGA architecture and technical decisions.
• Competitive compensation based on experience.