202 inference engineer jobs at 66 companies in Tracy, CA
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Inference Optimization Engineer
Los Altos or United States or Canada
$198k-$286k/yr HybridFull Time
5+ YOE5+ years in distributed systems or performance engineering; experience building reusable tooling; strong technical judgment, communication, and leadership; GPU/kernel, inference engine, Kubernetes, and LLM familiarity helpful.
GPU, ASIC, inference engine, Kubernetes, Modular Cloud, LLM architectures
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LLM Inference Engineer
Los Altos, California, United States
OnsiteFull Time
3+ YOE3+ years building or operating production LLM inference systems; strong Python and C++; experience with vLLM/SGLang/TensorRT-LLM/Fireworks; distributed inference and performance profiling skills.
vLLM, SGLang, TensorRT-LLM, Fireworks, Python, C++, collective communication library (CCL)
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Senior Software Engineer, Inference
Palo Alto, California, United States
$185k-$250k/yr HybridFull Time
5+ YOE5+ years engineering experience in inference acceleration, GPU programming (CUDA, NCCL), model deployment, quantization, attention optimization, and parallelism for production-scale AI systems.
CUDA, NCCL
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Principal LLM Inference Engineer
Santa Clara, California, United States
$195k-$285k/yr HybridFull Time
d-Matrix: Develops high-performance semiconductor chips for generative AI inference.
10+ YOEBachelor's in CS/EE (or equivalent) with 10+ years experience (Master/PhD with 6+ years preferred); strong Python and C/C++; experience optimizing LLM inference, quantization, batching, GPU kernel programming and contributor-level work on inference frameworks.
Python, C, C++, vLLM, SGLang, TensorRT-LLM, ONNX Runtime, CUDA, Triton, JAX
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Senior Inference Engineer, GPU Kernel Optimization
Santa Clara or Austin or New York City or Seattle
$184k-$288k/yr OnsiteFull Time
6+ YOE6+ years industry experience; strong Python and C++; hands-on GPU profiling (CUPTI, NSYS, NCU); experience with LLM inference frameworks and GPU kernel optimization; advanced degree or equivalent experience.
Python, C++, CUPTI, NSYS, NCU, TRT-LLM, SGLang, vLLM, CUDA, CUTLASS, Triton, PTX, SASS, LLVM, MLIR, ptxas, FlashInfer
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Inference Infrastructure Engineer, Serving
Palo Alto, California, United States
$275k-$475k/yr OnsiteFull Time
3+ YOE3+ years building low-latency, high-throughput inference serving systems; knowledge of quantization, batching, speculative decoding, KV cache; experience with vLLM/TensorRT-LLM/Triton/SGLang; multi-GPU model parallelism; C++/CUDA/Python; autoscaling and GPU cost optimization.
vLLM, TensorRT-LLM, Triton, SGLang, C++, CUDA, Python
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Senior Inference Engineer, GPU Kernel Optimization
Santa Clara or Austin or New York City or Seattle
$184k-$288k/yr OnsiteFull Time
6+ YOEMaster's/PhD or equivalent,6+ years industry experience,agentic AI systems experience,strong Python/C++,GPU profiling (CUPTI,NSYS,NCU),LLM inference frameworks,CUDA/CUTLASS/Triton and PTX/SASS familiarity.
Python, C++, CUPTI, NSYS, NCU, TRT-LLM, SGLang, vLLM, CUDA, CUTLASS, Triton, PTX, SASS, LLVM, MLIR, ptxas
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Distributed LLM Inference Engineer
San Francisco or Palo Alto
$170k-$247k/yr HybridFull Time
Familiarity with running ML inference at large scale with high throughput and low latency; experience with PyTorch; solid understanding of distributed systems.
PyTorch, Ray, vLLM, TensorRT-LLM
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Inference Optimization ML Engineer
Palo Alto, California, United States
OnsiteFull Time
3+ YOE3+ years in inference optimization, ML systems; strong PyTorch; experience with quantization, pruning, distillation; familiarity with Triton/TensorRT; CUDA knowledge.
PyTorch, JAX, TensorRT, Triton, CUDA, XLA, TorchServe, vLLM
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Senior GPU Inference Performance Engineer
Santa Clara, California, United States
$144k-$246k/yr HybridFull Time
Hands-on GPU performance engineering experience; proficent in GPU profiling, distributed inference, AI serving frameworks, Python and C/C++; bachelor's degree preferred.
ROCm, rocProfiler, Omniperf, Omnitrace, CUDA, Nsight Systems, Nsight Compute, DCGM, vLLM, SGLang, FP8, MXFP4, INT4, AWQ, GPTQ, RDMA, RoCE, NCCL, RCCL, Pensando, ConnectX, Docker, containerd, Kubernetes, Python, C++, C, HIP, perftest, ib_write_bw, tcpdump
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AI Inference Engineer - Speech
Seattle or San Jose
$152k-$332k/yr HybridFull Time
3+ YOEMaster's in CS/EE or related,3+ years in speech recognition or model inference,deep learning expertise,experience with Python,C/C++,CUDA,TensorRT,PyTorch,TensorFlow and GPU optimization.
Python, shell, C/C++, PyTorch, TensorFlow, CUDA, TensorRT, CUDA Graphs, NVIDIA GPUs, TPU, BrightHire
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Applied AI Inference Engineer
San Francisco or Sunnyvale
$250k-$300k/yr OnsiteFull Time
Experience optimizing LLM inference, production-serving and profiling skills, strong software engineering with Python or C++, familiarity with vLLM/SGLang and CUDA, and ability to work with customers to ship production deployments.
vLLM, SGLang, CUDA, Docker, Kubernetes, Python, C++
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Staff AI Inference and Acceleration Engineer
San Jose, California, United States
$180k-$275k/yr OnsiteFull Time
8+ YOEMS/PhD or equivalent, 8+ years in hardware acceleration/ML systems, expertise in inference runtimes, quantization and pruning, profiling and benchmarking, model-to-hardware mapping, and strong C++/Python skills.
ONNX, TFLite, TVM, MLIR, TensorRT, Torch, SNPE/QNN, JAX, CUDA, ROCm, C++, Python
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Lead ML Inference Engineer, Advertising
San Jose or Austin
$247k-$486k/yr HybridFull Time
10+ YOE5+ MgmtLead the design and development of a state-of-the-art inference platform; 10+ years in distributed systems; ML serving; leadership experience.
High-performance languages, ML frameworks, GPU acceleration, HPC, Distributed systems, Inference platforms, Monitoring tooling
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Tech Lead Manager, Inference
Redwood City, California, United States
OnsiteFull Time
8+ YOE8+ years in large-scale distributed systems or ML infrastructure; experience operating inference fleets at thousands-of-GPUs scale; technical leadership; Python, PyTorch, Kubernetes; scheduling, queuing, autoscaling, observability, and SLO ownership.
vLLM, SGLang, TensorRT-LLM, Python, PyTorch, Kubernetes, FFmpeg, RDMA, NVLink, NVIDIA, AMD, TPU, Trainium, Ray, Rust, C++, CUDA, HIP
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Sr. Inference Optimization Engineer (local / edge runtime)
Santa Clara or Hillsboro or Folsom or Phoenix
$195k-$361k/yr HybridFull Time
8+ YOE8+ years software development; strong C++ and/or Python; experience with LLM inference, profiling and optimizing CPU/GPU performance; Linux and low-level debugging expertise.
C++, Python, llama.cpp, vLLM, ggml, Vulkan, SYCL, oneAPI, CUDA, Metal, SIMD, Linux, GGUF, AWQ, GPTQ
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AI/ML Engineer - Model Inference
Sunnyvale, California, United States
$118k-$221k/yr HybridFull Time
Experience building production-scale ML data pipelines, featurization, embedding and inference systems for vision or multimodal workloads; strong computer vision and evaluation skills; BS/MS/PhD or equivalent experience.
featurization, embedding, inference, retrieval, vector search, approximate nearest neighbor retrieval, simulation workflows, synthetic data systems, computer vision models
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Senior Machine Learning Engineer, LLM Inference Optimization
Palo Alto or California
$195k-$262k/yr OnsiteFull Time
Expert Python and PyTorch skills, hands-on LLM/VLM inference deployment and optimization, knowledge of modern inference stacks, quantitative reasoning about latency/throughput/cost, and strong communication.
Python, PyTorch, vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, CUDA, FlashInfer, LMCache, Ray
3w
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Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation
Redwood City, California, United States
$168k-$205k/yr HybridFull Time
4+ YOE4+ years building infrastructure or production AI systems; strong Python; experience with ML infrastructure, LLM/LVM inference, inference optimization, evaluation frameworks, cloud and GPU workloads; BS/MS or equivalent.
Python, vLLM, Triton Inference Server, CUDA, NCCL, PyTorch, TensorRT, ONNX
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ML Engineer - Inference & Model Deployment
Cupertino, California, United States
$250k-$310k/yr OnsiteFull Time
Experience deploying and optimizing deep learning models in production, multi-GPU inference, profiling/benchmarking model performance, inference optimization techniques, and cloud/distributed systems familiarity.
vLLM, TensorRT, SGLang, GPU
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