Staff Software Engineer, Browser (New Products)

New

MozillaBrowser software

Remote USFull-TimeStaff

SalaryUS Tier 1 Locations $163,000 — $217,000 USD; US Tier 2 Locations $150,000 — $200,000 USD; US Tier 3 Locations $138,000 — $185,000 USD

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Job Details

Bring deep hands-on expertise in at least one browser engine subsystem, such as DOM and Web APIs, layout and rendering, accessibility, JavaScript runtimes, or networking and process architecture.
Have implemented substantial changes in a browser engine and be able to trace their effects into neighboring subsystems.
Demonstrate strong proficiency in C++ or Rust and experience navigating a large systems codebase.
Have practical knowledge of memory ownership, concurrency, object lifetimes, and performance debugging.
Be able to build JavaScript and scripting tools to exercise and measure engineering work.
Demonstrate the ability to investigate unfamiliar code, form precise hypotheses, construct useful prototypes, and interpret results.
Understand web-platform behavior and compatibility, including document structure, script execution, rendering, and user interaction.
Have experience with profiling, tracing, regression tests, or conformance tests.
Ground performance claims in reproducible evidence and explain both an optimization's benefits and its limitations.
Be curious about AI agents and willing to work directly with agent harnesses and coding tools.

Design and implement experiments within browser engine subsystems.
Investigate how internal data structures and execution behavior affect performance, correctness, and developer-tool interfaces.
Evaluate approaches for representing and exposing browser state, including tradeoffs in information loss, implementation complexity, and compatibility with dynamic web content.
Prototype engine capabilities for reliable programmatic interaction with web content.
Investigate how document structure, layout, navigation, and event handling affect correctness and performance.
Instrument browser behavior and evaluate changes against repeatable tasks.
Measure performance and correctness, isolate the effects of changes, and document unsuccessful as well as successful experiments.
Profile overhead introduced by new capabilities and pursue improvements where measurements justify them.
Use AI tools to accelerate coding and analysis, and verify their output through debugging, tests, and measurement.

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