East Providence • 50 milesRemote · Hybrid · Onsite · Field · All Environments
East Providence • 50 milesRemote · Hybrid · Onsite · Field · All Environments
East Providence • 50 milesRemote · Hybrid · Onsite · Field · All Environments
East Providence • 50 milesRemote · Hybrid · Onsite · Field · All Environments
81 gpu jobs at 52 companies in East Providence, RI
3mo
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GPU Software Engineer
San Diego or Boxborough
$99k-$148k/yr OnsiteFull Time
Bachelor's in a related field, knowledge of graphics-suitable languages (C, C++), developing and verifying GPU drivers/features; Master's and 1+ year GPU experience preferred.
C, C++, Perl, Python
3w
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Senior Software Engineer - GPU Local AI Platforms
Santa Clara or Westford or Austin or Durham or Seattle
$224k-$431k/yr OnsiteFull Time
12+ YOE12+ years software engineering experience in GPU computing or ML systems, strong Python or C++ skills, GPU kernel optimization (CUDA/Triton), container engineering, and LLM inference knowledge.
Python, C++, CUDA, Triton, Docker, OCI, NCCL, RCCL, NVIDIA Container Toolkit
1mo
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Senior Product Manager (AI Infrastructure & GPU)
Cambridge or United States
$139k-$251k/yr HybridFull Time
12+ YOE12 years experience and Bachelor's in CS/Engineering (or equivalent); deep expertise in GPU architectures/CUDA, cloud networking, product strategy, financial modeling, and AI/HPC workload patterns.
CUDA
2mo
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Silicon Validation Software Engineer- GPU IP Validation and Integration
Waltham, Massachusetts, United States
OnsiteFull Time
Develop graphics validation software and integrate it into system-level test environments; background in graphics, video encoding/processing, file systems, CPU/cache, kernel programming, or embedded systems.
2mo
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Software Solutions Architect
Austin or Boxborough or Markham
$212k-$318k/yr HybridFull Time
Senior-level architect with strong software engineering, enterprise delivery, and customer-facing leadership; deep AI/ML and GPU/CPU experience.
C/C++, Python, Docker, Kubernetes, ONNX, PyTorch, ROCm, CUDA, TensorRT
2mo
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Software Solutions Architect
Austin or Boxborough or Markham
$212k-$318k/yr OnsiteFull Time
Architect and deliver enterprise software solutions leveraging AMD GPUs/APUs; engage customers and partners; strong software engineering, AI inference stack and performance optimization experience.
ROCm, ONNX Runtime, ONNX, PyTorch, TensorRT, CUDA, Docker, Kubernetes, C, C++, Python
3w
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Systems ML Engineer (Member of the Technical Staff)
Cambridge, Massachusetts, United States
OnsiteFull Time
Experience optimizing and deploying large-scale ML models for training and inference, profiling and custom GPU kernel development, distributed training, cloud and edge deployment, and infrastructure automation.
Nsight, PyTorch Profiler, PyTorch Distributed, PyTorch, JAX, Triton, CUDA, Kubernetes, Terraform, AWS, NCCL
1w
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Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
Cambridge or London or San Francisco
$224k-$294k/yr OnsiteFull Time
Strong software engineering in Python, experience with ML/scientific computing, distributed systems, GPU performance, PyTorch/JAX/CUDA, Linux and containers, orchestration systems, and working with research teams.
Python, PyTorch, JAX, CUDA, Linux, Docker, Kubernetes, Slurm, Ray, Flyte, Argo, CI
6h
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Member of Technical Staff, Performance & Capacity
Boston, Massachusetts, United States
HybridFull Time
5+ YOERequires 5+ years with GPU and large-scale multi-node compute workloads, distributed training performance, networking, parallel file systems, AI training and inference optimization, and capacity decisions.
GPU, H100, B200, InfiniBand, RDMA, parallel file systems
2mo
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AI Systems Engineer
Boston, Massachusetts, United States
OnsiteFull Time
Experience with AI inference and distributed serving, strong systems and GPU optimization skills, proficiency in Python and PyTorch, familiarity with inference frameworks (vLLM, Triton, Ray Serve); PhD or equivalent experience preferred.
vLLM, PyTorch, Triton inference server, Ray Serve, CUDA, Python
3d
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HMS - Postdoctoral Fellow in Zitnik Lab
Boston, Massachusetts, United States
OnsiteFull Time
Ph.D. or M.D./Ph.D. in machine learning, computer science, or related field; strong programming skills and experience with machine learning frameworks, modern AI environments, multi-GPU training, and large-scale inference.
GitHub, GPU
2w
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Hardware Systems Engineer
Maynard, Massachusetts, United States
$92k-$112k/yr OnsiteFull Time
3+ YOEBachelor's in electrical engineering or related, 3+ years experience, strong computer architecture and server integration knowledge, storage/network familiarity, IPMI/Redfish, Python scripting, GPU toolkits, and virtualization/container experience.
SAN, NAS, CSIs, CNIs, IPMI, Redfish, Python, CUDA, ROCm, OpenCL, Kubernetes, VMware, Microsoft Hyper-V
2w
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AI HPC Infrastructure Engineer
Boston, Massachusetts, United States
$150k-$170k/yr HybridFull Time
5+ YOEBachelor's degree and 5+ years Linux/HPC systems administration experience; expertise with NVIDIA GPU stack, SLURM, GPFS, Kubernetes, Python/R, LLM tuning, Posit Workbench; must be authorized to work in the US.
Posit Workbench (RStudio Server Pro), MPI, OpenMP, PyTorch Distributed, Horovod, DeepSpeed, SLURM, Kubernetes, CUDA, cuDNN, NCCL, MLflow, Kubeflow, Docker, Singularity/Apptainer, GPFS (IBM Spectrum Scale), Bright Cluster Manager, Ansible, RDP, SSH, PyTorch, TensorFlow, Weights & Biases, NVIDIA GPU Operator, LiteLLM, Kong AI Gateway, Portkey
1mo
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Sr. Principal Software Engineer
Burlington or United States or Europe or Asia or North America
$141k-$226k/yr RemoteFull Time
Proven experience optimizing ML inference in production, deep GPU architecture knowledge, hands-on CUDA kernel development, quantization techniques (INT8/INT4/FP4/FP8/AWQ/GPTQ), and edge/embedded deployment expertise.
vLLM, TensorRT‑LLM, llama.cpp, QAIRT, CUDA, AWQ, GPTQ
1w
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Senior Developer Relations Engineer, GKE and AI Infrastructure
Sunnyvale or Cambridge or Kirkland or New York City or Raleigh or Durham or Seattle
$163k-$236k/yr OnsiteFull Time
5+ YOEBachelor's in CS or equivalent,5+ years technical experience,2+ years running AI/ML workloads on GPUs/TPUs with Kubernetes/GKE,2+ years producing developer content,proficiency in Python and strong programming skills.
Kubernetes, GKE, GPU, TPU, Python, C++, Java, Vertex AI, Google Cloud
3w
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Staff Engineer, Inference Optimizations
Boston, Massachusetts, United States
$191k-$239k/yr RemoteFull Time
5+ YOE5+ years in high-performance computing or AI infrastructure, deep GPU and inference optimization expertise, experience with CUDA/Triton/ROCm, attention-layer and kernel-level optimization, strong system design and leadership through influence.
AITER, CUDA, ROCm, TensorRT, Triton, FlashAttention
2mo
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Staff Research Scientist, Localization and Mapping
Cambridge or Suzhou or Singapore
OnsiteFull Time
7+ YOEPhD or Master’s in CS/Robotics/Engineering, 7+ years in robotics/localization/mapping, strong C++ and GPU programming skills, experience with real-time systems and ROS/ROS2, expertise in SLAM, sensor fusion, state estimation and HD mapping.
C++, GPU programming, ROS/ROS2, SLAM algorithms, Kalman Filters, LiDAR, GNSS, IMU, Cameras, HD mapping systems
1d
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MTS Silicon Design Engineer
Boxborough, Massachusetts, United States
OnsiteFull Time
3+ YOEMaster's degree and 3 years of related engineering experience, or bachelor's degree and 5 years. Requires hardware verification, Verilog/SystemVerilog/VHDL, UVM/AVM, C/C++/Python, CPU/GPU/SoC architecture, and pre-silicon verification.
Verilog, SystemVerilog, VHDL, UVM, AVM, C, C++, Python, CPU, GPU, SoC, ASIC, RTL
2mo
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Forward Deployed Engineer
Boston or San Francisco or United States
FieldFull Time
7+ YOE7+ years engineering experience preferred; strong programming in Python/C++/CUDA/Matlab/VHDL/Verilog/Rust; experience with GPU/FPGA/embedded systems; ability to obtain U.S. Top Secret clearance; willing to travel 30-75%.
Python, C++, CUDA, Matlab, VHDL, Verilog, Rust, GPU, FPGA
2mo
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Senior Engineering Manager, ML Platform
Waltham, Massachusetts, United States
$198k-$300k/yr OnsiteFull Time
7+ YOE2+ Mgmt7+ years engineering experience with 2+ years management; experience building/scaling ML/platform/infrastructure teams; expertise in GPU/distributed compute, large-scale data storage, and pipeline frameworks; hands-on coding and strong cross-functional communication.
Kubernetes, Slurm, Ray, GPU, TPU