Parallel Computing Engineer

Bright Vision Technologies; Oregon; Hybrid; USD 130,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking a highly experienced Parallel Computing Engineer with 10+ years of HPC, GPU programming, and parallel computing to optimize AI, machine learning, and scientific workloads. The ideal candidate will possess deep expertise in CUDA, GPU architecture, distributed computing, performance optimization, and large-scale AI infrastructure, with a proven track record of designing HPC solutions for enterprise and research environments.

We offer a fully remote U.S.

Qualifications

• 10+ years of experience in GPU programming, HPC, or parallel computing.
• Expert-level CUDA C/C++, GPU architecture, and massively parallel programming techniques.
• Experience with NCCL, MPI, CUDA-aware MPI, and distributed GPU communication.
• Experience integrating custom GPU kernels into PyTorch, TensorFlow, JAX, or Triton.
• Experience with cloud platforms or large GPU clusters.
• Strong analytical, communication, collaboration, and leadership skills.

Responsibilities

• Design, develop, and optimize CUDA kernels for AI, deep learning, and scientific computing applications.
• Profile and optimize GPU workloads using Nsight and CUDA Profiler.
• Optimize GPU memory, kernel execution, and multi-GPU scaling.
• Design scalable distributed training and inference architectures.
• Develop custom GPU operators for ML frameworks (PyTorch, TensorFlow, JAX, Triton).
• Improve training and inference performance for large language models and AI workloads.
• Collaborate with AI researchers and software architects to accelerate production AI apps.
• Build benchmarking frameworks, regression tests, and optimization pipelines.
• Evaluate new GPU technologies and accelerator architectures.
• Mentor engineers and provide technical leadership in GPU optimization.

Skills

CUDA C/C++

GPU programming

HPC

Parallel computing

Performance profiling

Distributed training

Debugging

Education

Bachelor’s or Master’s in CS/CE/EE

Tools

NCCL

MPI

CUDA-aware MPI

PyTorch

TensorFlow

Triton

CUDA Profiling

Job description

Job Title

Parallel Computing EngineerLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $130,000-$180,000 AnnuallyExperience Required: 10+ YearsSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

Bright Vision Technologies is seeking a highly experienced Parallel Computing Engineer with 10+ years of experience in High-Performance Computing (HPC), GPU programming, and parallel computing to optimize AI, machine learning, and scientific computing workloads. The ideal candidate will possess deep expertise in CUDA, GPU architecture, distributed computing, performance optimization, and large-scale AI infrastructure , with a proven track record of designing high-performance computing solutions for enterprise and research environments.

Key Responsibilities

• Design, develop, and optimize high-performance CUDA kernels for AI, deep learning, and scientific computing applications.
• Analyze, profile, and optimize GPU workloads using NVIDIA Nsight Systems, Nsight Compute, CUDA Profiler, and related performance analysis tools
• Optimize GPU memory management, kernel execution, multi-GPU scaling, and distributed computing performance.
• Design scalable distributed training and inference architectures using NCCL, MPI, CUDA-aware communication libraries, and high-performance networking technologies.
• Develop custom GPU operators and optimized kernels for PyTorch, JAX, Triton, TensorFlow, or similar AI frameworks.
• Improve training and inference performance for large language models (LLMs), deep learning, and high-performance AI workloads.
• Collaborate with AI researchers, ML engineers, and software architects to accelerate production AI applications.
• Build automated benchmarking frameworks, performance regression testing, and optimization pipelines.
• Evaluate emerging GPU technologies, programming models, and accelerator architectures to improve computational efficiency.
• Mentor engineers and provide technical leadership in GPU optimization, HPC architecture, and parallel programming best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• 10+ years of professional experience in GPU programming, High-Performance Computing (HPC), or parallel computing.
• Expert-level proficiency in CUDA C/C++ , GPU architecture, and massively parallel programming techniques.
• Extensive experience with NCCL, MPI, CUDA-aware MPI , and distributed GPU communication frameworks.
• Strong understanding of GPU memory hierarchy, kernel optimization, occupancy tuning, and performance analysis.
• Hands-on experience integrating custom GPU kernels into PyTorch, TensorFlow, JAX, Triton, or other machine learning frameworks.
• Strong C/C++ programming skills with expertise in debugging, profiling, and performance optimization.
• Experience developing scalable AI or HPC solutions on cloud platforms or large GPU clusters.
• Excellent analytical, communication, collaboration, and technical leadership skills.

Preferred Qualifications

• Experience with Triton , CUTLASS , TensorRT , FasterTransformer , vLLM , DeepSpeed , or similar GPU optimization frameworks.
• Knowledge of LLVM , MLIR , compiler optimization techniques, or code generation technologies.
• Experience with large-scale distributed AI training, model parallelism, pipeline parallelism, and inference optimization.
• Familiarity with cloud-based GPU infrastructure on AWS , Microsoft Azure , or Google Cloud Platform (GCP) .
• Contributions to open-source GPU libraries, research publications, patents, or technical presentations.
• Experience with emerging accelerator technologies such as AMD ROCm , Intel

Equal Employment Opportunity

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination of employment, within the. The EEO statement is mandated, but it may require more detailed statements for compliance. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.