Principal Embedded Systems Engineer
NVIDIA Jetson / Computer Vision
Stockholm / Onsite / Hybrid 3 out of 5 / Remote (only for exceptional candidate) • Full‑time
Department
Core Engineering
Seniority Level
Principal / Lead
Industry
Defense Tech
About the Role
We’re hiring a Principal Embedded Systems Engineer to lead the design, optimization, and deployment of our embedded computer vision platform based on NVIDIA Jetson.
This system integrates multiple cameras, edge AI models, and other peripherals in mission-critical environments. You will architect, build, and optimize the entire software stack - from Linux kernel to AI inference - and own key technical decisions around system performance, thermal optimization, and hardware compatibility.
Core Responsibilities
- • System Architecture: Lead system architecture and embedded design across the Jetson platform (Orin/Nano/Xavier)
- • Linux Systems: Build and optimize Linux systems using Yocto Project and/or Buildroot
- • Camera & Video: Set up and tune ISP pipelines, handle multiple cameras via V4L2, and manage streaming pipelines via GStreamer
- • Performance: Handle kernel configuration and performance optimization
- • Thermal Management: Lead system profiling and thermal optimization efforts across CPU, GPU, and memory
- • Hardware Testing: Run hardware compatibility tests for selecting cameras, interfaces, power modules, etc.
- • AI Deployment: Deploy and run AI models on-device using tools like TensorRT, CUDA, and cuDNN
- • Communication: Work with communication protocols like UART and MAVLink for integration with drones/UAVs
- • Documentation: Contribute to internal documentation, architecture specs, and build-test workflows
- • Leadership: Act as a proactive technical leader, challenging and owning solutions end-to-end
You'll Thrive Here If You Have
Must-Have Technical Skills
- • 5+ years working with embedded Linux systems (preferably with real deployments)
- • Deep experience with Yocto Project or Buildroot
- • Expertise in Jetson platforms (Nano, Orin NX, AGX) and JetPack SDK
- • Strong C++ and Python skills for low-level and integration development
- • Performance profiling tools and debugging embedded bottlenecks
- • Camera systems, ISP tuning, and Linux video stacks (V4L2)
Strong Plus
- • GStreamer pipelines on embedded devices
- • CUDA, TensorRT, cuDNN or other NVIDIA edge inference stacks
- • Balena, Mender, or other fleet/update management tools
- • UAV/drones systems, especially UART, MAVLink, or similar industrial communication protocols
- • Robotics, or low-latency compute environments
- • Integrating AI models on-device for real-time tasks
Collaboration & Mindset
- • Excellent English and communication skills; ability to write specs and lead discussions
- • Product ownership mindset - we're looking for someone who owns decisions, not just executes tickets
- • Ability to challenge solution architectures with well-structured, testable alternatives
- • Collaborative mindset to work with AI, hardware, and firmware teams
How to Apply
Email career@valkyries.ai with your CV, relevant portfolio (GitHub, past projects), and a brief note explaining:
- 1. Your most challenging embedded Linux deployment and how you solved performance bottlenecks
- 2. Any experience with Jetson platforms or similar edge computing devices
- 3. Why you're interested in defense technology and autonomous systems