Senior Runtime Platform Engineer: Performance & Profiling

Wayve; London (KY); Hybrid; USD 106,000 - 146,000; Full time

Benefits offered by this job

Hybrid work policy

Job summary

Wayve in London is hiring a software engineer for the Robot Software group. You will work on the software that runs our autonomous driving fleet, building a reliable and scalable stack that enables on-road experiments and data collection for training new driving models.

The role emphasizes performance, profiling, and optimization across embedded Linux systems, with collaboration across teams to reduce latency and improve overall system efficiency.

Qualifications

• Proficiency developing high-performance embedded Linux systems software in C++.
• Proficiency with performance profiling tools and techniques for identifying bottlenecks.
• Proven track record of methodical experiment evaluation.
• Strong technical background in OS scheduling, memory hierarchy, CPU caches, and threading.

Responsibilities

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

Skills

C++

Embedded Linux

Profiling tools

Experiment evaluation

OS scheduling

Computer architecture

Thread synchronization

Tools

NV NSight

NV Lumos

tegrastat

Grafana

Databricks

Datadog

QNX Momentics

Job description

Wayve in London is hiring a software engineer for the Robot Software group. You will work on the software that runs our autonomous driving fleet, building a reliable and scalable stack that enables on-road experiments and data collection for training new driving models.

The role emphasizes performance, profiling, and optimization across embedded Linux systems, with collaboration across teams to reduce latency and improve overall system efficiency.