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This job expired on 03/10/2026. It no longer accepts applications.

Member of Technical Staff - Coding Research (Remote)

Quik Hire Staffing

Remote
Remote 🇬🇧 English
C++ Rust Java Python Dynamic program analysis Compiler design Performance optimization Benchmarking Profiling tools Distributed systems Parallel computing GPU programming

Job description

About the role

We are seeking a Member of Technical Staff to lead cutting‑edge coding research on a fully remote basis. The role focuses on advancing programming language, compiler, and runtime technologies that power high‑performance computing platforms. You will work with a global leader in software development and contribute to both academic and industry breakthroughs.

Key responsibilities

  • Conduct deep research on programming languages, compilers, and runtime systems to improve performance.
  • Design and implement novel algorithms for code analysis, transformation, and optimization.
  • Collaborate with cross‑functional teams to integrate research outcomes into production‑grade systems.
  • Publish findings at conferences and contribute to open‑source projects.
  • Develop prototypes and proofs‑of‑concept to validate theoretical work in practical applications.

Required profile

  • Strong computer science background with focus on programming languages, compilers, or runtime systems.
  • Proficiency in multiple programming languages such as C++, Rust, Java, and Python.
  • Experience with static and dynamic program analysis techniques.
  • Knowledge of compiler design, including parsing, semantic analysis, and code generation.
  • Familiarity with performance optimization, benchmarking, and profiling tools.
  • Ability to conduct independent research and translate ideas into technical solutions.
  • Experience with distributed systems, parallel computing, or GPU programming is a plus.

Required skills

  • C++
  • Rust
  • Java
  • Python
  • Static program analysis
  • Dynamic program analysis
  • Compiler design (parsing, semantic analysis, code generation)
  • Performance optimization
  • Benchmarking
  • Profiling tools
  • Distributed systems
  • Parallel computing
  • GPU programming

What we offer

  • Competitive compensation ranging from $220K to $500K per year.
  • Fully remote work from anywhere.
  • Opportunity to publish research and contribute to open‑source initiatives.
  • Collaboration with a global leader in IT services and consulting.

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Published 2 months ago

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