GPU Software Engineer (CUDA)

Bright Vision Technologies; Monroe (NJ); Remote; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) for remote work in the U.S. The role focuses on designing and optimizing compute-intensive workloads on modern accelerators, with emphasis on AI training, inference, scientific computing, and high-throughput data processing.

You will collaborate with cross-functional teams, translate ambiguous requirements into robust solutions, and mentor junior engineers while driving measurable performance improvements in production GPU

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Ten or more years of experience in GPU programming and performance engineering
• Deep expertise in CUDA C/C++ and GPU programming models
• Strong understanding of modern GPU architectures, memory hierarchies, and execution models
• Hands-on experience profiling and optimizing GPU workloads in production
• Familiarity with NCCL, MPI, and high-performance interconnect technologies
• Experience integrating custom kernels into ML frameworks
• Strong C++ skills and familiarity with modern systems programming practices
• Solid grounding in linear algebra and numerical methods
• Strong communication and collaboration skills with research and engineering teams

Responsibilities

• Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases
• Profile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers
• Tune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance
• Develop highly optimized libraries for linear algebra, attention, and other ML primitives
• Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking
• Implement custom operators and fused kernels in PyTorch, JAX, or Triton
• Collaborate with ML engineers to identify performance bottlenecks in training and inference pipelines
• Develop benchmarks and regression tests to safeguard performance over time
• Evaluate new GPU architectures and feature sets, and advise on adoption strategy
• Contribute to compiler-level optimizations for tensor programs where appropriate, working at the boundary between ML frameworks and underlying accelerator codegen to unlock performance not reachable through framework-level tuning alone
• Optimize memory hierarchy usage across HBM, L2, shared memory, and registers
• Implement mixed-precision and quantized compute paths that maximize accelerator throughput while preserving numerical fidelity within bounds acceptable for the target workloads
• Document performance characteristics, design decisions, and tuning playbooks for internal teams
• Stay current with GPU architecture, CUDA evolution, and emerging accelerator technologies

Skills

CUDA C/C++

GPU performance engineering

Profiling

Multi-GPU training

C++ systems programming

Memory hierarchy knowledge

Communication

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

Nsight Systems

Nsight Compute

CUDA profilers

NCCL

MPI

PyTorch

JAX

Triton

CUTLASS

TensorRT

LLVM

MLIR

Job description

GPU Software Engineer (CUDA) – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Job Title:

GPU Software Engineer (CUDA)

Location:

100% Remote (U.S.)

Position Type:

Full-time, Direct W2

Salary Range:

$100,000–$175,000 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

We are seeking a GPU Software Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on modern accelerator hardware. This role focuses on extracting maximum performance from GPU platforms for AI training, inference, scientific computing, and high-throughput data processing workloads. The ideal candidate combines low-level systems mastery with strong software engineering practices, and has a track record of delivering measurable performance improvements on production GPU systems. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Key Responsibilities

• Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases
• Profile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers
• Tune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance
• Develop highly optimized libraries for linear algebra, attention, and other ML primitives
• Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking
• Implement custom operators and fused kernels in PyTorch, JAX, or Triton
• Collaborate with ML engineers to identify performance bottlenecks in training and inference pipelines
• Develop benchmarks and regression tests to safeguard performance over time
• Evaluate new GPU architectures and feature sets, and advise on adoption strategy
• Contribute to compiler-level optimizations for tensor programs where appropriate, working at the boundary between ML frameworks and underlying accelerator codegen to unlock performance not reachable through framework-level tuning alone
• Optimize memory hierarchy usage across HBM, L2, shared memory, and registers
• Implement mixed-precision and quantized compute paths that maximize accelerator throughput while preserving numerical fidelity within bounds acceptable for the target workloads
• Document performance characteristics, design decisions, and tuning playbooks for internal teams
• Stay current with GPU architecture, CUDA evolution, and emerging accelerator technologies

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Ten or more years of experience in GPU programming and performance engineering
• Deep expertise in CUDA C/C++ and GPU programming models
• Strong understanding of modern GPU architectures, memory hierarchies, and execution models
• Hands-on experience profiling and optimizing GPU workloads in production
• Familiarity with NCCL, MPI, and high-performance interconnect technologies
• Experience integrating custom kernels into ML frameworks
• Strong C++ skills and familiarity with modern systems programming practices
• Solid grounding in linear algebra and numerical methods
• Strong communication and collaboration skills with research and engineering teams

Preferred Qualifications

• Experience with Triton, CUTLASS, or other GPU kernel authoring frameworks
• Familiarity with TensorRT, FasterTransformer, or vLLM internals
• Exposure to compiler infrastructure such as LLVM or MLIR
• Open-source contributions to GPU or ML performance libraries
• Experience with large-scale distributed training infrastructure

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.