18 inference optimization engineer jobs at 11 companies in Cranston, RI
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Staff Engineer, Inference Optimizations
Boston, Massachusetts, United States
$191k-$239k/yrRemoteFull Time
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
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.
Sunnyvale or Boston or Seattle or Los Angeles County
$193k-$262k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
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.
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/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
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.
Senior Lead AI Engineer (FM Hosting, LLM Inference)
New York or McLean or Cambridge or San Jose
$251k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
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.
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/yrOnsiteFull Time
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
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.
SimpliSafe: Provides wireless home security systems and professional monitoring services.
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.
Systems ML Engineer (Member of the Technical Staff)
Cambridge, Massachusetts, United States
OnsiteFull Time
Transfyr: Building physical AI infrastructure for scientific research and automation.
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.
Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure)
New York or San Francisco or McLean or Cambridge or San Jose or Plano
$209k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's in CS/AI/EE/CE +6 years or Master's +4 years; 6+ years programming with Python/Go/Scala/Java; experience deploying scalable AI on cloud; LLM, inference, similarity search, VectorDBs, guardrails, model evaluation, and optimization experience; leadership and research literacy.
Glia AI: Automated AI systems engineering for high-performance infrastructure.
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
Santa Clara or Westford or Austin or Durham or Seattle
$224k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
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.
Assail: Autonomous AI platform for offensive security testing.
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.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's in CS/AI/EE/CE plus 6+ years, or Master's plus 4+ years; 6+ years programming with Python, Go, Scala or Java; experience deploying scalable AI systems, LLM inference, vector databases, and optimization techniques; strong communication and leadership.
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)
San Jose or San Francisco or McLean or Cambridge or New York City
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOE6+ years developing AI/ML systems (or 4+ with a master\u0002s), strong software and math foundations, experience with LLM inference, similarity search, and optimization, Python/Go/Scala/Java proficiency, cloud deployment experience.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Cambridge or McLean or New York or San Jose or United States
$197k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEBachelor's in CS/AI/EE/CE (4+ yrs) or Master's (2+ yrs). 4+ yrs programming in Python, Go, Scala, or Java. Experience with LLMs, model training/inference, vector search, cloud deployments, and AI system optimization.
Physical Superintelligence: Building AI systems to discover new physics at scale.
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