Sr. Staff Software Engineer, Browser (New Products)

New

JobgetherBrowser software

Listing location: US; based in United States; Remote work opportunity within Canada.Full-TimeStaff

SalaryCanada Tier 1 locations: CAD $165,000–$220,000. Canada Tier 2 locations: CAD $149,000–$199,000.

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Job Details

Extensive hands-on experience with at least one browser engine subsystem, including substantial implementation work and understanding of related subsystems.
Strong proficiency in C++ or Rust.
Experience navigating large systems codebases and practical knowledge of memory ownership, concurrency, object lifetimes, and performance debugging.
Ability to develop JavaScript and scripting tools to exercise browser behavior, automate tests, and collect reliable measurements.
Ability to investigate unfamiliar code, formulate hypotheses, build prototypes, and interpret results while distinguishing implementation effects from workload variations.
Strong understanding of web platform behavior and compatibility, including document structure, script execution, rendering, navigation, and user interaction.
Experience with profiling, tracing, regression testing, or conformance testing and reproducible performance evaluation.
Ability to explain technical optimizations, their limitations, and conditions under which they may fail.
Curiosity about AI agents and willingness to work directly with agent harnesses and coding tools.
Strong analytical thinking, technical independence, and a practical experimental mindset.

Design and implement experiments across browser engine subsystems to investigate performance, correctness, and developer-tool information.
Evaluate approaches for representing and exposing browser state, assessing information loss, implementation complexity, and compatibility with dynamic web content.
Prototype browser engine capabilities for reliable programmatic interaction with websites, including document structure, layout, navigation, and event handling.
Instrument browser behavior and evaluate implementations through repeatable tasks that measure performance and correctness.
Document successful and unsuccessful experiments, validate findings across workloads, and assess whether improvements generalize.
Profile and optimize overhead introduced by new capabilities when supported by measurement and evidence.
Use AI-assisted coding and analysis tools, validating output through debugging, testing, and reproducible measurements.
Collaborate with technical specialists to investigate systems, assess trade-offs, and inform the direction of new browser-based products.

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