MakerMaker: Small San Francis-based AI startup focused on autonomous agents and production ML systems.
3+ YOESenior ML systems engineer with 3+ years building production-grade, large-scale serving infrastructure; strong distributed systems; GPU-accelerated inference; fluent Python and systems languages (C++, CUDA, ROCm or Triton).
Pika: AI-powered platform for generating and editing professional videos
5+ YOE5+ years engineering experience in inference acceleration, GPU programming (CUDA, NCCL), model deployment, quantization, attention optimization, and parallelism for production-scale AI systems.
San Francisco or United States or Toronto or New York City or Montreal
$165k-$330k/yrHybridFull Time
Baseten: Scalable infrastructure platform for deploying and serving AI models.
2+ YOEDegree in CS/Engineering/Math,2+ years experience,production programming (Python preferred),familiarity with ML model lifecycle,strong communication and customer-facing skills.
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 low-level optimization expertise, experience with CUDA/Triton/ROCm, distributed GPU parallelization, and system design for inference workloads.
Elorian AI: AI lab building multimodal models for advanced visual reasoning.
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.
Anyscale: Cloud platform for scaling distributed machine learning applications.
Familiarity with running ML inference at large scale with high throughput and low latency; experience with PyTorch; solid understanding of distributed systems.
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
3+ YOE3+ years in inference optimization, ML systems; strong PyTorch; experience with quantization, pruning, distillation; familiarity with Triton/TensorRT; CUDA knowledge.
Parasail: Provides scalable cloud infrastructure for AI model inference.
5+ YOE5+ years production engineering experience operating customer-facing systems; strong SRE and production diagnostics skills; Kubernetes, Linux, distributed systems, and software engineering proficiency; ability to lead incident response and build observability.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
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++
Luma AI: Develops multimodal AI for video generation and creative production.
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.
Thinking Machines: Building AI systems to extend human will and judgment.
Bachelor's in CS or equivalent, strong engineering skills, experience with deep learning frameworks and inference serving, ability to optimize distributed GPU systems and contribute production-quality code.
New York City or San Francisco or United States or Europe
RemoteFull Time
Roboflow: Platform for building and deploying custom computer vision models.
5+ YOE5+ years building and operating production ML systems, strong CV/inference foundation, CI/CD and test infra experience, proficiency with PyTorch/TensorFlow/ONNX/TensorRT/vLLM, and experience with image/video processing tools.
Radical Numerics: Building general biological intelligence models for scientific discovery.
Deep expertise in large-model inference, GPU performance engineering, kernel development (CUDA/Triton), Python and PyTorch, distributed systems, and production model deployment.
Together AI: Cloud platform for training and deploying artificial intelligence models.
5+ YOE5+ years experience with inference systems, open-source LLM deployment, and post-training pipelines; expert with inference engines; strong Python skills; Mandarin and English proficiency.
NebiusNasdaq: NBIS: Builds cloud infrastructure and software for artificial intelligence development.
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
Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation
Redwood City, California, United States
$168k-$205k/yrHybridFull Time
Ambient.ai: AI-powered physical security platform for proactive threat detection.
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.
Modal: Serverless cloud platform for running AI and data workloads
Research-leaning or systems background in LLM inference; experience with kernels, quantization, schedulers, and autoscaling; record of shipping research/systems; able to take research bets end-to-end and work onsite in NYC or San Francisco.
Saviynt: Provides AI-powered identity governance and cloud security platforms.
ML platform or MLOps engineer with production Ray experience; LLM serving, distributed training, Python and PyTorch; MLflow/Flyte; Bachelor's degree in CS/Engineering.
Ray Train, Ray Serve, Ray Core, Ray Data, vLLM, SGLang, NVIDIA Triton, TorchTrainer, DDP, NCCL, PPO, RLlib, Flyte, MLflow, Qdrant, Pgvector, PyTorch, Python