Bright Vision Technologies

is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. ## Job Title

Parallel Computing Engineer

Location

100% Remote (U.S.)

Position Type

Full-time, Direct W2

Salary Range

$130,000–$180,000 Annually

Experience Required: 10+ Years

Sponsorship

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

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at http://www.bvteck.com. 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, layoffs, and recall. 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.