20 inference optimization engineer jobs at 12 companies in Peabody, MA
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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
1w
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Senior Inference Engineer, AGI
Sunnyvale or Boston or Seattle or Los Angeles County
$193k-$262k/yr OnsiteFull Time
5+ YOERequires 5+ years software development, 4+ years systems architecture, a computer science bachelor's degree, 2+ years neural inference optimization, GPU optimization, real-time systems, and technical leadership experience.
Nsight Compute, Nsight Systems, vLLM, PyTorch, TensorRT-LLM, CUTLASS, Triton, CUDA, PTX, FlashAttention, NCCL, NVLink, AWS Neuron, Trainium, Microsoft Excel
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Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)
San Jose or San Francisco or New York City or Cambridge or McLean
$230k-$286k/yr OnsiteFull Time
6+ YOEBachelor's plus 6 years or master's plus 4 years developing AI/ML technologies, and 6 years programming with Python, Go, Scala, or Java. Cloud AI deployment and team leadership are preferred.
AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, PyTorch, Python, Go, Scala, Java, AWS, Google Cloud, Azure, C++, C#, Golang
3w
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Staff/Principal DevOps Engineer, AI Inference
Cambridge, Massachusetts, United States
$192k-$272k/yr OnsiteFull Time
Expertise operating GPU/accelerator infrastructure for ML, Kubernetes and AWS deployment experience, infrastructure-as-code (Terraform, Helm), Python proficiency, networking and performance optimization for low-latency inference.
Kubernetes, vLLM, Triton Inference Server, TGI, Terraform, Helm, EKS, EC2, S3, EFA, IAM, NCCL, Python, Rust, Go, CUDA
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Senior Lead AI Engineer (FM Hosting, LLM Inference)
New York or McLean or Cambridge or San Jose
$251k-$286k/yr OnsiteFull Time
6+ YOEBachelor's in CS/AI/EE/CE or related with 6+ years (or Master's with 4+ years); 6+ years programming with Python, Go, Scala, or Java; experience deploying scalable AI systems, LLM inference, similarity search, and optimization of training/inference.
AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, Python, Go, Scala, Java, C++, C#, Golang, AWS, Google Cloud, Azure
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Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)
San Jose or San Francisco or New York City or Cambridge or McLean
$230k-$286k/yr OnsiteFull Time
6+ YOEBachelor's degree plus 6 years or master's degree plus 4 years developing AI/ML technologies; 6 years programming with Python, Go, Scala, or Java; cloud AI deployment experience preferred.
AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, Python, Go, Scala, Java, Google Cloud, Azure, C++, C#, Golang
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Staff Embedded ML Engineer, Edge AI
Boston, Massachusetts, United States
$186k-$245k/yr HybridFull Time
8+ YOE8+ years embedded/performance engineering experience, strong C/C++ skills, experience optimizing on-device ML inference and runtimes (TFLite/ONNX/TensorRT), profiling and debugging performance under constrained hardware.
C, C++, TFLite, ONNX Runtime, TensorRT, XNNPACK, QNNPACK, oneDNN, CMSIS-NN, perf, flame graphs
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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
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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
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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
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Senior Software Engineer - GPU Local AI Platforms
Santa Clara or Austin or Westford or Durham or Seattle
$224k-$431k/yr OnsiteFull Time
12+ YOE12+ years software engineering experience with 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, NVIDIA Container Toolkit, NCCL, RCCL
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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
2mo
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Senior AI Engineer (US)
Boston or New York City
HybridFull Time
5+ YOE5+ years building production ML/AI systems with 2+ years on LLMs/agents; deep Python; fine-tuning (SFT, DPO/GRPO, RLHF/RLAIF); transformer expertise; PyTorch/Hugging Face/DeepSpeed stack; inference optimization; retrieval/vector pipelines; Kubernetes.
Python, PyTorch, Hugging Face, DeepSpeed, FSDP, accelerate, vLLM, TensorRT-LLM, Kubernetes
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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
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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
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