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Principal Embedded Software Engineer Motional Pittsburgh, PA arm,c,cpp,python,bash,linux,rtlinux,ethernet,can,i2c,spi,gpu,robotics,autonomous,hybrid,lead,us_east,cortex_m,cross_func,research 200000 275000
Motional

Principal Embedded Software Engineer

Location Node Pittsburgh, PA (hybrid)
Base Compensation USD 200k–275k
Commitment full-time
Clearance Req none
arm c cpp python bash linux rtlinux ethernet can i2c spi gpu robotics autonomous hybrid lead us_east cortex_m cross_func research

Overview

Mission Summary

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. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system.

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.

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.

Bonus Points

  • 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.

Variables & Compensation

  • Medical
  • Dental
  • Vision
  • 401k with company match
  • Health savings accounts
  • Life insurance
  • Pet insurance
Broadcast Specification:

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Compensation Disclaimer: Unless this specification was directly verified and posted by the employer, we cannot guarantee the accuracy of the listed salary parameters. These figures are compiled from public market records and may deviate from actual offered compensation. Final salaries are determined dynamically by the hiring entity based on candidate evaluation, location, and final contract execution.