Senior Performance Engineer, Efficiency Red Team

What you'll do

• Analyze CPU, memory, GPU, storage, I/O, and networking performance to identify and investigate root causes of waste.
• Prototype efficiency improvements, develop fleet-wide optimization practices, and quantify their business impact.
• Contribute findings to profiling tools and automated optimization agents; collaborate across teams and communicate results to leadership.

What they ask for

• 7+ years of non-internship professional software development experience and 7+ years programming in at least one language.
• 5+ years leading design or architecture of new and existing systems.
• Experience mentoring, serving as a tech lead, or leading an engineering team.
• 7+ years in systems programming, performance engineering, or infrastructure optimization; proficiency in a systems language (C, C++, Rust, or Java), performance profiling, and root cause analysis across compute-stack layers.

Nice to have

• Bachelor's degree in computer science or equivalent.
• GPU profiling and optimization, generative AI infrastructure, language runtime internals, hyper-scale capacity planning, or open-source/research contributions in systems performance.

Pay

USD 193,300.00 - 261,500.00 annually (base salary); USD 184,900.00 - 250,200.00 annually (base salary); USD 168,100.00 - 227,400.00 annually (base salary)

Tools

C, C++, Rust, Java, CUDA, JVM

AI focus

Improves efficiency in generative AI infrastructure, including GPU memory management, inference pipelines, model serving, training workloads, and token throughput.