Software Engineer, Onboard Infrastructure

Stack AV

$120K — $145K *
US-AnywhereRemote in United States
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in C++ with expertise in multi-threading and memory management.
  • Strong grasp of the software lifecycle and algorithm design principles.
  • Experience in high-performance software development for safety-critical applications.
  • Deep understanding of POSIX, Linux, and concurrent programming.
  • Passionate about producing robust and pragmatic production code.
  • Familiarity with networking fundamentals and embedded systems.
  • Experience with tools like Bazel and Boost is advantageous.

Responsibilities

  • Design and implement high-throughput logging frameworks for parallel data streams.
  • Develop features and optimizations for Clockwork in coordination with cross-functional teams.
  • Identify and improve performance, reliability, and usability of Clockwork under resource constraints.
  • Prototype and maintain sensor interfaces that support the Perception system.
  • Ensure software quality through rigorous automated and manual testing practices.

Benefits

  • Work with advanced technology in a high-performance team environment.
  • Opportunity to impact foundational systems in autonomous driving applications.
  • Collaborative work across multiple engineering domains, including autonomy and cloud.
  • Professional growth in a cutting-edge robotics development space.
Full Job Description
About the Role:

Join a high-caliber team of experienced software engineers responsible for delivering some of Stack AV's most foundational technology. The team owns Clockwork, Stack's custom-built, high-performance robotics middleware powering production-grade autonomy applications - as well as StackOS, the operating system that underpins the entire vehicle software stack, and the onboard portion of Deploy Manager, which governs how software is delivered and updated on the vehicle itself. Together, these systems form the critical infrastructure backbone of Stack's safety-critical self-driving platform, operating seamlessly across the vehicle, in simulation, in the cloud, and in HIL testing environments. In this role, you will design, implement, test, and deploy new features and optimizations across this portfolio of systems to extend their capabilities, usability, performance, and reliability.

Responsibilities:
  • Design and implementation of high-throughput, low-latency logging frameworks capable of handling massively parallel data streams - telemetry, event and console logs.
  • Design, development, and implementation of features, interfaces, and optimizations for Clockwork in collaboration with Autonomy, Cloud, and Safety teams.
  • Continually identify opportunities for improving the performance, reliability, and usability of Clockwork, evaluating tradeoffs amongst multiple options in a resource-constrained environment.
  • Contribute to the prototyping, development, and maintenance of new and existing sensor interfaces that drive the Perception system of the AV.
  • Ensure delivery of high quality software through the principled and consistent use of best practices including robust automated testing, manual and automated code review.

Qualifications:
  • Systems Programming: Proficiency of C++, with deep understanding of multi-threading, concurrency models, lock-free data structures, and memory management.
  • Knowledge of software engineering life cycle and algorithm design principles.
  • Experience developing high performance software systems, deployed in resource constrained environments, preferably for safety critical applications.
  • Strong understanding of the POSIX programming environment, Linux, and concurrent programming.
  • A passion for writing robust, intuitive, and pragmatic production code.
  • Strong understanding of Networking fundamentals.
  • Comfortable working with & debugging embedded systems.
  • Experience working with common tooling such as Bazel, Boost, etc.
  • Excellent communication skills and ability to work in a team environment.
  • Experience with performance evaluation and optimization is highly desired.
  • Domain experience working in autonomous driving, robotics or related industry is highly desired.

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