Remote jobs in the United States

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Added 8 hours ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
Added 14 hours ago
DC
Senior Engineer - ML Operations
Danaher Corporation
Remote, United States
- $180,000 to $220,000 USD / year
…management, LLM provider/gateway routing and rate limits, and driver/CUDA image hygiene, partnering with the platform team to maximize value from contended, high-demand…
Added 22 hours ago
BV
AI Platform Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $180,000 USD / year
Experience optimizing GPU workloads using CUDA, NVIDIA GPU technologies, distributed inference, and high-performance AI infrastructure.
Added 22 hours ago
BV
High-Performance Computing Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $150,000 USD / year
We are seeking a High Performance Computing Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive…
Added 1 day ago
Senior Software Engineer, AI Frameworks
NVIDIA USA
Remote, United States
…deliver robust integrations, reference implementations, and developer-focused…
Added 1 day ago
M
Perception Engineer
Motional
Remote, United States
- $165,000 to $197,698 USD / year
Added 1 day ago
Scientific Developer for Model Optimization
Lynker Corporation
Remote, United States
…expansion, we are seeking a dynamic and experienced Scientific Developer for Model Optimization to join our growing…
Added 1 day ago
BV
GPU Software Engineer (CUDA)
Bright Vision Technologies
Remote, United States
- $100,000 to $175,000 USD / year
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…
Added 2 days ago
Sr. Principal Engineer - Vision Intelligence
Oshkosh Corporation
Remote, United States
Experience with modern AI/ML frameworks and tools such as PyTorch, TensorFlow, ONNX, OpenCV, CUDA, TensorRT, or equivalent.
Added 2 days ago
Software Engineer - Kernels
MatX
Remote, United States
- Experience optimizing software for specialized hardware, employing techniques such as parallelism, SIMD programming, C, assembly-level optimization, or GPU/CUDA programming
Added 2 days ago
BV
CUDA Developer
Bright Vision Technologies
Remote, United States
- $85,000 to $110,000 USD / year
We are seeking a CUDA Developer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on modern…
Added 2 days ago
GPU Systems Engineer
Bright Vision Technologies
Remote, United States
We are seeking a GPU Systems Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on modern…
Added 3 days ago
J
Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving
Jobgether
Remote, United States
- $890,000 to $1,690,000 USD / year
Added 3 days ago
Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving
Netflix, Inc.
Remote, United States
…repurposed to run open-weight models for internal coding and developer productivity use…
Added 3 days ago
Solutions Architect, AI/ML
Fidus Systems
Remote, United States
Added 3 days ago
Senior Solutions Architect, Telco
NVIDIA USA
Remote, United States
8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management…
Added 3 days ago
BV
GPU Software Engineer (CUDA)
Bright Vision Technologies
Remote, United States
- $80,000 to $107,000 USD / year
We are seeking a GPU Software Engineer (CUDA) with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on…
Added 3 days ago
GPU Applications Engineer
Bright Vision Technologies
Remote, United States
We are seeking a GPU Applications Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on…
Added 4 days ago
Senior Software Engineer Aerial Platform
NVIDIA USA
Remote, United States
NVIDIA Aerial CUDA Accelerated RAN is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems. We are…
Added 4 days ago
Machine Learning Engineer, Voice Conversion
Cantina
Remote, United States
- Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code.
Added 4 days ago
Machine Learning Engineer, TTS
Cantina
Remote, United States
- Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production quality code.
Added 4 days ago
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GPU Kernels AI Task Auditor - Freelance AI Trainer Project
Jobgether
Remote, United States
- Up to $60 USD / hour
Deep technical knowledge of at least one relevant area, such as CUDA, Triton programming, parallel computing, or hardware-level performance optimization.
Added 4 days ago
BV
Parallel Computing Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
…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…
Added 4 days ago
BV
AI Systems Performance Specialist
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
…training, Large Language Model (LLM) inference, Python, C++, CUDA, and production AI systems, along with the ability to lead performance optimization initiatives across enterprise-scale AI…
Added 7 days ago
Senior CUDA Technical Marketing Engineer
NVIDIA Corporation
Remote, United States
…seeking a Senior Technical Marketing Engineer (TME) to share the CUDA platform with our developer community. TMEs are drawn from outstanding software engineers and scientists who enjoy…

Bright Vision Technologies

GPU Software Engineer (CUDA)

Remote, United States

$100,000 to $175,000 USD / year

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Job details

Pay: $100,000 to $175,000 USD / year
Apply by: Jan 27, 2027
Experience: Experience Required: 10+ years
Posting language: English
Posted: Oct 29, 2026

Original 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. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

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.

How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at 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.

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Skills

Process data
Communication skills
ML
PyTorch
Computer science
Computer engineering
C
C++
Collaboration
Research

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