Software Engineer

Intel CorporationSanta Clara, CA
Onsite

About The Position

Join our team as a Software Performance Engineer and contribute to innovative solutions that enhance application efficiency across modern computing platforms. In this role, you will Design, develop, analyze, debug, optimize, integrate, tess, and/or validate existing or new device drivers software, including the design and implementation of platform level features that encompass interfacing with drivers to higher level frameworks. Research and collaborate with other engineers and architects in the design, development, integration, and/or validation of device drivers on the target OS. Working with cross-functional teams, you will deliver solutions that maximize hardware potential through advanced optimization techniques.

Requirements

  • Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related technical field
  • 2+ years of C/C++ programming experience (academic projects, internships, or professional work combined)
  • 1+ years of Python programming experience for tooling and scripting
  • 1+ years of system-level programming involving memory management, pointers, and low-level operations
  • Assembly Language: Completed coursework or project work with at least one architecture (x86, ARM, RISC-V, or MIPS)
  • Academic or internship experience with version control systems (Git) in multi-developer environments

Nice To Haves

  • Master’s degree in computer science, Computer Engineering, Electrical Engineering, or related technical field
  • Experience in compiler technologies or virtualization technologies
  • Background in performance profiling and workload analysis
  • Data Structures & Algorithms: Strong foundation in graphs, trees, hash tables, optimization algorithms
  • Computer Architecture: Understanding of CPU instruction sets, memory hierarchies, and execution models
  • Hands-on experience with at least one of: LLVM, GCC toolchain, or custom compiler/interpreter development
  • Operating Systems: Knowledge of process management, memory management, and system calls
  • Compiler Theory: Understanding of lexical analysis, parsing, semantic analysis, and code generation
  • Optimization Techniques: Basic understanding of common compiler optimizations

Responsibilities

  • Design and develop software frameworks to optimize application workloads
  • Implement code analysis and performance enhancement algorithms
  • Collaborate with architects and engineers to integrate optimization solutions
  • Analyze application behavior and identify performance improvement opportunities
  • Develop and maintain optimization tools and runtime systems
  • Validate and benchmark performance improvements
  • Apply debugging and profiling techniques to enhance code quality
  • Deliver software solutions following established development practices

Benefits

  • competitive pay
  • stock bonuses
  • health
  • retirement
  • vacation
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