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Parallel Programming Code Optimization Expert Jobs

Socket.dev

SW ML Optimization Engineer

Cupertino, CA · On-site

Experience with GPU or parallel programming--e.g., Metal, OpenCL, CUDA, or similar--through ... optimization. * Interest in (or exposure to) the deeper stack -- drivers, firmware, compilers, or ...

Apple

SW ML Optimization Engineer

Cupertino, CA · On-site

... optimized solutions based on Apple Silicon. In this role, you will analyze existing and new ... Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through ...

Viridiengroup

Scientific Software Developer

Houston, TX · On-site

... parallel programming and code optimization), a strong mathematics/physics/engineering background, in-depth knowledge of computer software/hardware architecture, and excellent analytical and problem ...

Nvidia

Senior Developer Technology Engineer, Public Sector

OR · On-site +1

$54.50 - $72/hr

Passion for optimizing codes to run exceptionally fast through parallel programming. Ways to stand out from the crowd: Experience optimizing complex codes, especially for GPUs, including kernel ...

Inficare Technologies

.Net Developer

Dallas, TX · On-site

$47.75 - $63/hr

NET , async/await , multithreading, and parallel programming * Performance optimization using LINQ ... Strong knowledge of SOLID principles and clean code practices * Experience with JWT authentication ...

SourceFly LLC

Systems Engineer

Fort Belvoir, VA · On-site

Experiencedocumenting and communicating algorithms/code through UML diagrams andsoftware ICDs ... parallel programming * Experience in high-throughput data recording and storage optimization

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... Develop and maintain high-quality, well-documented code that adheres to best practices for GPU ...

SourceFly

Systems Engineer

Fort Belvoir, VA · On-site

Experience documenting and communicating algorithms/code through UML diagrams and software ICDs ... parallel programming * Experience in high-throughput data recording and storage optimization

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... Develop and maintain high-quality, well-documented code that adheres to best practices for GPU ...

Neurophos Inc.

Hands-on experience with compiler frameworks and code optimization techniques * Deep understanding ... Programming Languages: Python and C (essential), Assembly * Compiler Frameworks: LLVM, MLIR, GCC ...

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How much do parallel programming code optimization expert jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for parallel programming code optimization expert in the United States is $64.72, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $67.55 per hour, depending on experience, location, and employer.

What are popular job titles related to Parallel Programming Code Optimization Expert jobs?

For Parallel Programming Code Optimization Expert jobs, the most frequently searched job titles are:

Infographic showing various Parallel Programming Code Optimization Expert job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $134,620 per year, or $64.7 per hour.

SW ML Optimization Engineer

Cupertino, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 22 days ago

Job description

At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip architecture and develop forward-looking prototype systems and software.

Description

Our team is driving performance enhancements in application and system software and developing novel algorithms to deliver integrated, highly optimized solutions based on Apple Silicon. In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues, you will address performance limitations and provide recommendations for Apple hardware and software improvements. In addition to working directly with developers, you will identify patterns of performance challenges on Apple silicon, emerging new usage models, and provide feedback to the silicon and software teams for potential improvements.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, or a related quantitative field (or equivalent practical experience).
  • Experience with GPU or parallel programming—e.g., Metal, OpenCL, CUDA, or similar—through coursework, personal projects, internships, or research.
  • Experience with profiling/performance analysis tools (e.g., Xcode Instruments, VTune, Nsight Compute, or equivalent) and basic performance analysis concepts.
  • Development experience in Python, C or C++.
Preferred Qualifications
  • Solid foundation in mathematics, algorithms, and/or computer architecture fundamentals.
  • Experience writing or tuning compute kernels (e.g., GEMM, attention, or other numerically intensive routines).
  • Exposure to ML frameworks such as PyTorch, and to AI/ML, graphics, or HPC workloads and benchmarks.
  • Coursework or projects involving parallel computing, numerical methods, signal processing, or performance optimization.
  • Interest in (or exposure to) the deeper stack — drivers, firmware, compilers, or low-level libraries.
  • Interest in Apple Silicon and its frameworks (Metal, MLX, Core ML).
  • Curiosity about hardware/software co-design and a demonstrated drive to learn independently.
  • Strong communication skills and the ability to collaborate effectively across teams.
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