Browser Optimization Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

The Role

As a Browser Optimization Engineer, you will play a critical role in driving real-world browser performance improvements across Chromium-based platforms. Working at the intersection of browser engines, operating systems, and hardware, you will identify and resolve performance bottlenecks that directly impact millions of users.

This role offers the opportunity to work deeply within Chromium subsystems such as Blink, V8, Skia, and GPU layers, while collaborating with browser, OS, compiler, and silicon teams to deliver measurable, user-visible gains. You will operate in a highly collaborative, systems-focused environment where your work translates directly into faster, more responsive web experiences.

The Person

You are a performance-focused engineer who enjoys digging into complex systems and uncovering root causes of inefficiency. You are naturally curious, data-driven, and comfortable working across large, multi-layered codebases.

You thrive in collaborative environments, working effectively with cross-functional teams spanning software, operating systems, and hardware. You communicate clearly, translate technical insights into actionable improvements, and are motivated by delivering measurable impact to end users.

Key Responsibilities

Profile and optimize performance across Chromium subsystems, including Blink, V8, Skia, GPU/ANGLE, and browser multi-process architecture

Identify CPU, memory, GPU, and power bottlenecks using real-world workloads, benchmarks, and telemetry

Implement improvements in areas such as page load performance, rendering, JavaScript execution, graphics/compositing, and responsiveness

Drive cross-platform optimizations, with a primary focus on Windows and exposure to Linux/macOS environments

Analyze system behavior using tools such as Perfetto, ETW, Chrome Tracing, VTune, PIX, GPUView, and perf

Collaborate with browser vendors, OS teams, compiler teams, and hardware partners to co-optimize software and platforms

Contribute high-quality patches to Chromium or related codebases where appropriate

Translate low-level profiling insights into scalable, user-facing performance improvements

Document findings and communicate results clearly to technical stakeholders

Preferred Experience

Strong background in software engineering with a focus on performance optimization

Experience working with Chromium or Chromium-based browsers (e.g., Chrome, Edge, or internal forks)

Proficiency in C++ and modern performance-oriented development practices

Understanding of browser internals across areas such as:

Rendering pipelines (e.g., Blink lifecycle, layout, paint)

JavaScript engines (e.g., V8, JIT behavior, garbage collection)

Graphics and compositing (e.g., Skia, GPU rasterization, ANGLE, WebGL)

Multi-process architectures and IPC models

Experience using profiling and tracing tools to drive optimization decisions

Strong debugging skills within large-scale, complex systems

Ability to connect microarchitectural behavior (cache, memory, SIMD, branching) to real-world performance outcomes

Familiarity with Windows performance analysis (including ETW) and graphics stack interactions

Exposure to Clang/LLVM and compiler-driven optimizations

Experience with performance benchmarks such as JetStream, Speedometer, WebXPRT, or MotionMark

Awareness of hardware-aware optimization techniques (CPU topology, cache behavior, SIMD/AVX, GPU execution models)

Experience contributing to large-scale or open-source codebases

Ability to mentor others and influence performance best practices across teams

Academic Credentials

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.