347 deep learning engineer jobs at 111 companies in Sunnyvale, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Matroid: Platform for training and deploying custom computer vision detectors.
3+ YOEMaster's or equivalent, 3+ years industry/academic experience in software, deep learning and computer vision; strong software engineering, communication, and research skills.
Imagry: Mapless autonomous driving software for vehicle manufacturers.
3+ YOEMSc (or equivalent experience) in quantitative field, 3+ years developing deep learning algorithms, strong computer vision and math skills, PyTorch and Python proficiency, English fluency, eligible to work in the US.
Machine Learning/Deep Learning Engineer(PhD, New Grad)
Houston or San Francisco
OnsiteFull Time
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Advanced degree (Master's or PhD) in a quantitative field, strong ML/deep learning and computer vision knowledge, proficiency in Python and deep learning frameworks, strong software engineering fundamentals.
Python, PyTorch, TensorFlow, TensorRT, ONNX, CUDA, C++
Hayden AI: Mobile vision AI systems for automated traffic enforcement.
1+ YOE1-2 years building and deploying ML perception models in production; Bachelors or Masters in Computer Science or related; hands-on PyTorch and Python; cloud experience (AWS/GCP/Azure); familiarity with MLOps, NVIDIA edge stack and CUDA.
Senior Deep Learning Engineering - Autonomous Vehicles
Santa Clara or Redmond
$224k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
10+ YOEMaster’s or PhD in CS/EE or related; 10+ years in deep learning; strong DL with LLMs/VLMs; PyTorch in production; Python; experience deploying LLMs/VLMs at scale; SFT/DPO/GRPO; large-scale image/video search.
Senior Deep Learning Engineer – Perception, Autonomous Driving
Santa Clara, California, United States
$184k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOEPh.D. or MS (or equivalent experience) in CS/Robotics/ML/CV, 8+ years applied research/software engineering in deep learning for computer vision, strong Python/C++ skills, PyTorch experience, data-centric AI expertise.
Quadric: Designing licensable processor IP for on-device AI inference.
0+ YOEBachelor's/Master's/PhD in CS/EE or related field; Python and C++ proficiency; compiler concepts; ability to read large codebases; strong debugging and communication skills.
Python, C++, ONNX, Relay IR, GPNPU, compiler passes, IR transformations, TVM, MLIR, XLA, Glow, IREE
MaxInsights: Provides robot data collection for physical AI development.
3+ YOE3+ years building and shipping ML systems, proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow), experience with training/evaluation/deployment and production ML pipelines.
Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years ML engineering experience, strong ML fundamentals, proficiency in Python and deep learning frameworks, experience with distributed training and cloud ML infrastructure, and building end-to-end ML pipelines.
Wayve: Develops AI software for autonomous vehicle navigation.
Shipping deep learning systems to production; expert in deep learning; proficient in Python, C++, CUDA, and PyTorch; experience with real-time or robotics; strong leadership and collaboration.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
Apptronik: Designs and manufactures humanoid robots for industrial automation.
3+ YOEMS/PhD in CS/Robotics/Computer Engineering, 3+ years building and shipping perception or SLAM systems, expertise in SLAM/VIO/state estimation, deep learning for vision, multi-sensor fusion, Python and modern C++ experience, and edge deployment experience.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
5+ YOE5+ years ML engineering experience, shipping deep learning models in production; proficiency in Python and PyTorch; experience with computer vision, foundation models, benchmarking, and cross-functional technical leadership.
Sunday: Developing autonomous robots to perform household chores.
3+ YOE3+ years of ML work for robotics, Python and deep learning (PyTorch preferred), hands-on robot learning, data collection, and cross-functional collaboration.
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
12+ YOE12+ years software engineering experience; deep distributed systems and production AI experience; expertise with orchestration frameworks, Python, Kubernetes, Docker, SLIs/SLOs, AI safety, and strong communication.
LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, Codex, Claude Code, Cursor, Copilot, Python, Kubernetes, Docker, Model Context Protocol (MCP), Large Language Models (LLMs)
Pony.aiNASDAQ: PONY: Develops autonomous driving technology for passenger and freight transportation.
2+ YOEMaster in CS or 2+ years in ML/DL; strong data structures/algorithms; ML/DL data collection, evaluation, feature engineering; C++/Python; good communication.
Atoms: Building specialized industrial robots and physical AI systems.
10+ YOE10+ years MLE experience; deep expertise applying transformers to robotics/spatio-temporal data; multimodal, sensor-fusion, and model optimization experience; proficiency in PyTorch or JAX, Python, and C++.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.