Principal Embedded Software Engineer

Motional•Pittsburgh, PA

1d•Hybrid

About The Position

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. The High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. This role is for a software engineer who loves the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles. Motional is hiring for a range of levels, from graduate engineers to Staff engineers.

Requirements

Experience with creating detailed requirements from use cases.
Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
Experience writing software for embedded platforms in C and C++.
Experience with Test-Driven Development (TDD).
Experience working on embedded Linux / RTOSs.
Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
Experience with debugging on embedded platforms.
Experience writing software in Python and experience doing automation with shell scripting.
Experience working with ARM Cortex MCUs or Microprocessors.

Nice To Haves

Experience with the NVIDIA Drive AGX platform and DriveOS ecosystem.
Experience working with large data pipelines, and platforms that require deterministic execution.
Experience using inter-system communication protocols such as I2C and SPI
Experience deploying Machine Learning models.
Experience working with GPUs.
Experience working directly with the Linux kernel or Device Drivers.
Experience with Simulation and Code Generation, and knowing when their use is appropriate.
Experience working with Bazel.
Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks.

Responsibilities

Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
Design test harnesses for embedded software components and full systems
Provide technical mentorship to engineers.
Proactively work with cross-functional engineering teams to solve complex and interesting problems.
Own and drive multi-quarter technical roadmaps for select areas.