What You'll Do

Own the design and evolution of AvRide's core pipeline framework — the system responsible for orchestrating autopilot components and managing interactions between them. You'll drive this from requirements through architecture to production.
Set the standard for performance and safety. Write high-performance C++ code and build the monitoring infrastructure to enforce it — ensuring the pipeline meets the stringent requirements of a real-world autonomous vehicle system.
Take long-term ownership of data compatibility and algorithm reproducibility — foundational properties that allow recorded data to reliably measure and improve autopilot quality over time.
Build developer tooling and observability systems that help autonomy engineers detect, understand, and resolve problems in their code faster.
Lead the design and automation of testing infrastructure for autopilot code defining practices adopted across teams and enforced in CI.
Advocate for simplicity and long-term maintainability. Write well-structured code, produce clear design documents, and help the team resist unnecessary complexity.
Act as a technical anchor for the team — mentoring engineers, leading code reviews, and driving alignment on architecture with stakeholders across autonomy disciplines.

What You'll Need

5+ years of professional software engineering experience with strong command of modern C++ (C++17/20) in production systems.
Demonstrated experience writing high-performance, low-latency, or safety-critical systems — you understand what it means for correctness and performance to be non-negotiable.
A track record of independently designing and shipping complex systems — including scoping the problem, evaluating trade-offs, and verifying outcomes after delivery.
Strong communication skills you can turn ambiguous requirements from technology teams into crisp designs, and explain technical decisions clearly in writing.

Python experience for scripting and non-time-critical tooling
Background in autonomous vehicles, robotics, or other safety-critical real-time systems.