Software Engineer

About This Role

• 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.
• Key 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 Qualifications: Minimum Qualifications 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 Preferred Qualifications 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 Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, California, Santa Clara Additional Locations: US, California, Folsom Business group: The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services.
• The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs.
• The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments.
• The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
• It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
• Find out more about the benefits of working at Intel .
• Annual Salary Range for jobs which could be performed in the US: $111,030.00-211,200.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.