Staff Software Engineer, Compute Reliability

Dormont Manufacturing Co

United States

On-site

USD 251,000 - 310,000

Full time

14 days+

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Benefits offered by this job

Discretionary annual bonus program
Equity incentive plan
Generous Company benefits program

Job summary

Dormont Manufacturing Co is seeking a Planner/Perception Reliability professional to drive the design of reliability solutions for their software and hardware interfaces. In this hybrid role, you will work closely with cross-functional teams to develop architectures that preemptively address reliability issues across various platforms.

Ideal candidates should hold a BS/MS in a technical field and have experience with C++, CUDA, and software reliability. The position offers a competitive salary range of $251,000 to $310,000, along with eligibility for bonuses and other benefits.

Qualifications

  • 5+ years experience with systems in reliability and software integrity.
  • Experience writing GPU kernels and debugging GPU workloads.
  • Understanding of autonomous vehicles or ADAS systems is a plus.

Responsibilities

  • Drive design and development of reliability architectures.
  • Implement strategies to mitigate compute hardware issues.
  • Lead initiatives across teams for proactive solution architecture.

Skills

C++
CUDA/GPU/TPU acceleration
Software reliability

Education

BS/MS in Comp Sci, EE, Robotics, Physics, Math or equivalent
MS or PhD in technical field preferred

Job description

The Planner/Perception Reliability team’s goal is to build out architectures, tools, and workflows to prevent, identify, and guide fixes of reliability and software integrity issues.

We focus the organization on reliability and are accountable for the onboard software health while enabling high development velocity.

In this hybrid role you will report to a Tech Lead Manager.

You will:
  • Drive the design and development of instrumentation and onboard architecture to proactively prevent, detect, and debug reliability issues across current and future Waymo compute platforms.
  • Design and implement long-term strategies to systematically mitigate compute hardware reliability and numerical stability issues across heterogeneous platforms (CPU, TPU, GPU), creating scalable tools to automate triage, debugging, and resolution.
  • Lead cross-functional initiatives across Waymo, Alphabet, and external partners to architect proactive solutions that prevent issues originating from compilers (LLVM, XLA, JAX), optimization (AutoFDO), or model changes.
  • Architect frameworks and diagnostics to proactively identify and eliminate complex software and firmware faults, including deadlocks, memory corruption, race conditions, memory leaks, or tail latency spikes.
  • Influence the design and tooling of next‑generation hardware platforms, serving as a technical authority to ensure a coherent, forward‑looking reliability architecture.
You have:
  • BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience).
  • Experience in C++.
  • Experience with CUDA/GPU/TPU acceleration and model reliability or optimization.
  • Experience with writing GPU kernels and evaluation/debugging of GPU workloads.
We prefer:
  • MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience.
  • Experience with autonomous vehicles (L4) or ADAS systems (L2/L3).
  • Experience in software reliability space.

The expected base salary range for this full‑time position across US locations is listed below. Actual starting pay will be based on job‑related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$251,000—$310,000 USD

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