Snaga Solutions · UA ·
A hands-on delivery lead for autonomous defense systems (autonomous drone, turret control): the manager drafts baseline architectures in C/C++ and Python, decomposes work across hardware, firmware and software layers, bridges embedded/hardware teams with CV/ML and ROS teams, and joins field tests to analyze hardware–software failures.
point-one-navigation · San Francisco HQ
NVIDIA · India, Bengaluru
Quantum Systems · Gilching, Bayern, Germany
Cerence · Remote – California Bay Area
❗️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.
quartermaster · Arlington, VA