Senior Robot Software Runtime Engineer (Embedded Linux)

Wayve

Sunnyvale (CA)

Hybrid

USD 119,000 - 172,000

Full time

4 days ago
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Job summary

Wayve, a London-based robotics software company, is seeking a Software Engineer for the Robot Runtime Platform to optimize performance of the onboard software stack and enable scalable model experiments. You will work across the Robot Software and Runtime Platform teams to improve latency, profiling, and instrumentation in our fleet software.

You will collaborate with multiple teams to address bottlenecks, enhance visibility with Grafana, Datadog, and Databricks, and contribute to a robust,

Qualifications

  • Proficiency developing high-performance embedded Linux systems software.
  • Proficiency with performance profiling tools to identify bottlenecks.
  • Strong understanding of OS scheduling and computer architecture.

Responsibilities

  • Investigate latency and performance bottlenecks across the entire software stack.
  • Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities.
  • Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines.
  • Collaborate with multiple teams to understand performance pain points and prioritize optimization efforts based on impact.
  • Optimize critical code paths and algorithms to improve runtime efficiency and reduce latency.

Skills

Embedded Linux
C++
Performance profiling
OS scheduling & arch

Tools

NV NSight
NV Lumos
tegrastat
Grafana
Databricks
Datadog
QNX
Momentics

Job description

Wayve, a London-based robotics software company, is seeking a Software Engineer for the Robot Runtime Platform to optimize performance of the onboard software stack and enable scalable model experiments. You will work across the Robot Software and Runtime Platform teams to improve latency, profiling, and instrumentation in our fleet software.

You will collaborate with multiple teams to address bottlenecks, enhance visibility with Grafana, Datadog, and Databricks, and contribute to a robust,

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